Thursday, February 26, 2026

Upskilling Your Team for What’s Next

Upskilling Your Team for What’s Next written by John Jantsch read more at Duct Tape Marketing

Catch the Full Episode:

Overview

In this episode of the Duct Tape Marketing Podcast, John Jantsch interviews Rob Levin, serial
entrepreneur, chairman and co-founder of Work Better Now, and author of
The New Talent Playbook: The Ultimate Guide for Building Your Dream Team.

With over 30 years of experience helping small and mid-sized businesses solve persistent
talent challenges, Rob shares why the traditional hiring “playbook” no longer works. He
explains how the pandemic, generational shifts, remote work, and artificial intelligence
have fundamentally changed the talent landscape.

The conversation explores the hidden talent crisis facing SMBs, why culture is more critical
than ever, how to rethink KPIs in a remote-first world, and what it really means to become
an AI-first organization. If you’re still managing talent like it’s 2016, this episode offers
a roadmap for building a future-ready team.

Guest Bio: Rob Levin

Rob Levin is a serial entrepreneur and business growth expert with more than three decades
of experience helping small and mid-sized businesses thrive. He is the chairman and co-founder
of Work Better Now, a company that empowers U.S.-based SMBs to access highly skilled remote
professionals, particularly from Latin America, to overcome hiring bottlenecks and build
high-performing teams.

Rob is the author of The New Talent Playbook: The Ultimate Guide for Building Your Dream Team,
where he outlines a modern approach to talent strategy in an era defined by remote work,
rapid technological change, and AI disruption.

Key Takeaways

1. The Talent Crisis Is Really a Talent Shift

Despite headlines about layoffs, many small and mid-sized businesses still struggle to fill
critical roles. The skills needed to succeed in large enterprises often do not translate to
the owner-minded, adaptable talent required in SMBs.

2. The Old Hiring Playbook Is Obsolete

Many business owners are still operating as if it’s 2016. Power dynamics have shifted, top
performers have more leverage, and younger generations prioritize culture and meaning at work
more than previous generations.

3. Culture Is a Strategic Advantage

A clearly defined set of core values is the foundation of a strong culture—especially in remote
and hybrid environments. Companies should hire and fire based on core values and intentionally
build a culture that embraces change.

4. Remote Teams Require Structure and Over-Communication

In a remote environment, clarity and communication must be intentional. Weekly meetings,
consistent updates, and well-defined KPIs are essential to maintaining alignment and accountability.

5. KPIs Benefit Employees as Much as Employers

Well-designed KPIs are not just management tools—they give employees clarity on expectations and
what it means to “win” in their role. A lack of KPIs often signals unclear leadership rather than
poor employee performance.

6. Upskilling Is a Competitive Imperative

As technology and AI reshape roles, companies must identify the new capabilities they need and
aggressively invest in training. Affordable and high-quality education is widely available, and
businesses should leverage it.

7. Business Owners Must Lead the AI Shift

Before expecting teams to use AI effectively, business owners must gain hands-on experience
themselves. Understanding AI’s capabilities firsthand enables leaders to redesign workflows,
not just automate existing tasks.

8. Move from Doing the Work to Managing AI

The future of many roles will involve managing, refining, and validating AI output rather than
executing routine tasks. Organizations must help employees transition from task execution to AI
supervision and optimization.

9. Become AI-First, Not AI-Improved

Rather than using AI to enhance existing workflows, companies should rethink processes from the
ground up with AI doing much of the heavy lifting. This mindset shift can dramatically improve
productivity and scalability.

10. Global Talent Expands Your Competitive Edge

Expanding your hiring reach beyond local markets—across the U.S., Latin America, and beyond—opens
access to skilled professionals and helps solve persistent hiring bottlenecks.

Great Moments from the Episode

  • 00:03 – Introduction to Rob Levin and The New Talent Playbook
  • 01:14 – Why the talent market has fundamentally changed since the pandemic
  • 02:15 – From “They’re lucky to have a job” to employee leverage
  • 04:11 – Why layoffs don’t solve the SMB talent shortage
  • 06:02 – Understanding the hidden talent crisis
  • 08:27 – Identifying new capabilities and upskilling your team
  • 10:53 – Why business owners must take hands-on AI training
  • 11:56 – Becoming an AI-first organization
  • 13:20 – Why culture matters more than ever
  • 14:23 – Managing culture in remote and fractional teams
  • 16:41 – Why KPIs are more for employees than employers
  • 18:26 – Using AI as a thought partner for performance measurement
  • 19:45 – What Rob would update in the AI chapter today
  • 21:28 – Addressing employee fears about AI replacing jobs
  • 22:42 – Where to find The New Talent Playbook and connect with Rob

Quotes

“There’s such a long list of changes, but the biggest one is that the old talent playbook just doesn’t work anymore.”

“KPIs are actually more for the employee than the employer. They give clarity on what winning looks like.”

“Don’t just use AI to improve a workflow. Redesign the workflow so AI is doing the heavy lifting.”

“You’re only scratching the surface of what AI can do for your company if you’re not using it as a thought partner.”

Resources Mentioned

  • The New Talent Playbook: The Ultimate Guide for Building Your Dream Team by Rob Levin
  • Work Better Now – Nearshore talent solutions for SMBs
  • National Federation of Independent Business (NFIB) hiring trend surveys

Connect with Rob Levin

 

John Jantsch (00:03.266)

Hello and welcome to another episode of the Duct Tape Marketing Podcast. This is John Jantsch. My guest today is Rob Levin. He's a serial entrepreneur and business growth expert with more than 30 years of experience helping small and mid-sized businesses thrive by solving their most persistent talent challenges. He's the chairman and co-founder of Work Better Now, a company that empowers US-based SMBs to access highly skilled remote professionals, particularly.

from Latin America to overcome hiring bottlenecks and build teams that drive growth and innovation. But today we're going to focus on his newest book, the new talent playbook, the ultimate guide for building your dream team. So Rob, welcome to the show.

Rob Levin (00:46.516)

Thanks, John. Great to see you.

John Jantsch (00:48.632)

So.

You were before we even got started, you were talking about the speed of change and that's really what's going to be my first question. I mean, you've worked with, I've worked with small businesses for decades. in your view, what's changed the most about hiring in the last, I was going to say five years, but I I could say five months, I guess. And what, what prompted you to write the new talent, playbook?

Rob Levin (01:14.184)

Yeah, and I'm going to if it's okay, John, I want to go beyond hiring. I just want to talk about talent in general. And a ton has changed. And in fact, what the reason the reason I wrote the book is I still I saw how the talent market changed. And I can talk a little bit about that. But I also saw how business owners were still

John Jantsch (01:18.638)

See you soon.

Rob Levin (01:35.142)

running the same talent playbooks, if you will, as if it was 2016. And a lot really changed in the pandemic. So let's talk about what's changed. There's such a long list. I'll mention a few things. Number one, younger, let's put it this way. And now it's arguable whether this happens every generation or so or not. But younger generations in the workforce, at least I'm hearing this from business owners like myself, Gen Xers.

baby boomers, the younger generations of the workforce work differently than the older ones do. And I think a lot of business owners are having trouble understanding that. The biggest change perhaps out of all of them, and I have so many of them, but the one I think to focus in on is...

It's and you wouldn't know this from reading the headlines, but it's there's I used to call it a talent crisis. In fact, in the book, I call it a talent crisis. I'm not calling it a talent shift where it's really hard for small and mid-sized businesses to find the talent that they need. And this cascades to the point where it also means that they may be holding on to employees that are not the right people for them to grow going going forward. And and one way to think about

how people's mindsets have not yet changed is you and I are old enough to remember when you used to hear bosses say something like, they're lucky to have a job, right? And there's still people with a similar type mentality and that has totally changed. A lot of the power, if you will, and I don't really like to look at it that way, but it's a way that people understand has shifted the employee side, particularly those top performers that we all want in our business.

John Jantsch (03:07.862)

Right, right.

John Jantsch (03:20.32)

Mm-hmm.

John Jantsch (03:26.638)

You know, it's interesting you met at the outset of that. You mentioned the idea that, you know, probably every generation thinks this and I, and I, I suspect there's some truth to that, but it feels like the gap's bigger now because it's, it feels like a bigger shift. Again, I've only been through one generation, so to speak. Uh, but it feels like it is, um, you know, talk to me a little bit about the fact that I like, I'm talking to a lot of people, uh, uh, a lot of my peers, a lot of your peers, you know, have kids getting out of college. Um, and.

They're saying, you know, it's terrible out there. The job market's, you know, absolute disaster out there, you know, for people coming out of college. And yet, you you just referenced the idea that the leverage is actually kind of with the job seeker. So how do you kind of balance that?

Rob Levin (04:11.624)

That's a great, great question. I have two kids in college and I'm worried about their job prospects. I'm actually telling them to start their own businesses. So if you look at the headlines, the headlines are mass layoffs, right? True. The headlines are AI is going to take jobs away, which I believe is true. And it may even start, it may start to be happening right now. That said,

John Jantsch (04:20.7)

I'm

Rob Levin (04:39.634)

You know, in a business, when you're running your own business, you don't have an HR department, you don't have a training department, or most companies don't have a training department. What are you dealing with? You need people that have experience, that have an owner's mentality, you need that in a small business, you don't get that, you know, somebody working in a large business rarely has that, you don't necessarily need that skill set. In fact, you probably don't want that skill set in a larger business.

And you need somebody you you meet need somebody with at least some experience Those people are hard to find and the thing also thing to remember is like well, you know, you might say well All of these layoffs are happening So these people are now available the skill sets that you need to thrive in a large business are not necessarily the same skill sets That are needed in a small or mid-sized business and the data backs this up You're probably familiar with NFIB National Federation and it's been around forever. They do they do a survey or poll. I think it's

John Jantsch (05:31.79)

Sure.

Rob Levin (05:36.682)

every month. And you'll routinely see, I think it's about a third of small and mid-sized businesses cannot fill roles.

John Jantsch (05:45.198)

Thanks

John Jantsch (05:48.504)

So one of the things you talk a lot about and you mentioned it a couple of times, I wonder if you could kind of lay out this idea of the hidden talent crisis that you've really been speaking so much about.

Rob Levin (06:02.418)

Yeah, it's pretty much what we're talking about. It's just really hard to find great talent, at least within the US, and we could talk about.

One of the chapters of book is about, you know, expanding your reach, not only expanding it so that you can hire people remotely throughout the U.S. or maybe throughout North America, but also Latin America, even even Asia. So you have that and a lot of companies also where they're struggling is the other thing that's changing beyond talent is everything else in business, right? So technology is driving so much change. A.I. is, of course, a great example. I don't have to tell you marketing has changed how much in the past five years.

John Jantsch (06:34.638)

Yeah, yeah.

Rob Levin (06:43.408)

compared to the past 20 or 30 years, right? And what does this mean for small and mid-sized businesses? It means that they need new capabilities. And their current employees, if they...

John Jantsch (06:45.102)

Sure. Yep.

Rob Levin (06:54.79)

Hopefully there's an opportunity to upskill them, which is a big part that I think I dedicate about half of a chapter to upskilling your current employees to bring in those new capabilities in your company. if your people are not upskillable, if you will, then you have a serious problem on your hands, especially if it's hard to hire the people that have those capabilities that you need to bring into your company.

John Jantsch (07:10.894)

Mm-hmm.

John Jantsch (07:20.558)

Yeah, so there's a couple of things to unpack there. I would suggest, you know, a lot of people talking about all these jobs going away. In one hand, they are, but I think what they're doing is they're shifting to a new set of, you know, capabilities that somebody needs to have. So yeah, some of the routine stuff that you just needed somebody that, you know, that could put in the hours to do the tasks, those are certainly are going to be things that AI does pretty well. And those jobs are going to go away, but

by the same sense, this idea then of who's making decisions about what's good and what's bad, what's the right decision, what's not, what's on brand, what's not. I I think those people are going to remain humans, but they might either need to be different humans than you have today, or as you said, upskill. So how do you take somebody that you hired essentially to do tasks, because that's how you saw the role, who now really needs to do something that

you didn't hire them for, they may be capable of doing, but you didn't hire them for that. I mean, how do you make that assessment, but then also how do you make that leap?

Rob Levin (08:27.24)

Yeah, so let's do this in a general sense and then we can drill down to AI because I think AI is very specific.

situation, although AI probably has a lot to do with the new capabilities that a lot of companies, need. So the first thing to do is identify the new capability you need in your company. So, you know, I'm talking to Mr. Marketing here. So, you know, the marketing capabilities have are, are, changing. And the first thing you have to do is recognize, well, what is it that you need? And then the question is, is, you know, do I have somebody on the marketing team that is up skillable? Do they have the.

Do they have the desire to learn something new? Do they have that ability? Do they have the ability to not only learn it, but then bring that capability internal? And here's the good news about all of this is that

the training, you if it's a new capability, you're have to look external for training, which is totally fine. In fact, companies should get really aggressive about this because there's so much good training out there. Much of it is low cost, if not free. You know, for example, on the marketing side, HubSpot, all of the major CRM and marketing platforms are all offering training, teaching you exactly what needs to be done. Because a lot of this a lot of the changes in marketing, of course, are technology based. So again, identifying what you know, what is

John Jantsch (09:27.224)

Yes.

Rob Levin (09:46.146)

it that I need and then finding the person in your company, giving them the time to do it, obviously paying for any fees that might be there and having an understanding with that person that look, I'm going to invest in the training for you. This is good for you and your career. I do expect that you bring those capabilities in and then when they do that, be prepared to give them a promotion and the raise that they're probably looking for. Everybody wins. talking about AI, AI in

particular, my personal opinion on this, having done this myself, is that I think every business owner needs to go through a hands on AI course first, you need to really understand what the capabilities of AI are. Before you can start to look at people on your team. All right, I need you to, you know, pick up this AI capability, let's say with marketing or with operations or, etc. I think the owner needs to have some level of understanding

And in my opinion is that you need to do some hands-on AI training yourself first. I think everybody needs to do that.

John Jantsch (10:53.646)

Well, I think in a lot of ways, what's holding some people back is it's going to require, I think, a total mindset shift. You know, there are definitely people who are looking at AI and just saying, oh, we can do that task that used to be done by this person faster, you know, as opposed to like restructure how they even think about their organization. And so I think, I think in some cases, you know, instead of diving into how does this tool work, it's more how do I structure my entire organization, you know, for a new reality.

Rob Levin (11:23.698)

Right, and that's why I think.

that the owners AI training that they should go through has to be hands on because then you'll actually start to see what the when you actually start to build something with AI, a light bulb will go will probably go off in your head and you'll see what what what AI is capable of. And then we're using the term at work better now. We're using the term AI first. We're now which which what that means is not to use AI to improve an existing workflow. But let's have let's have that workflow totally

John Jantsch (11:29.934)

Yeah.

John Jantsch (11:36.13)

Right.

John Jantsch (11:47.726)

Mm-hmm. Mm-hmm.

Rob Levin (11:56.304)

redesign where AI is doing a lot of the heavy lifting. And of course, that's going to come with a lot of retraining of our team to go from doing the work to managing the AI agent or what bot or whatever you want to call it that's going to be doing the work. you know, there's another fundamental thing that really should happen.

before all of this. And this is a big part of how the talent game has changed a lot over the past 10 years with an emphasis on the past few. So culture in your group that has always been important, it is by far more important than ever. It is so important today. And why is that? Well, number one, I just give you a few data, not data points, but sound bites for this. Number one, the younger generations, and there are, there's plenty of good workers

John Jantsch (12:30.051)

Yes.

Rob Levin (12:47.082)

those younger generations. Culture matters a lot to them. Culture, meaning, right? So that alone should wake everybody up and say, hey, this isn't something maybe I focused on in the past, but I'm gonna start focusing on it now. And I dedicate a whole chapter in the book on it.

But also, not only just having a healthy culture, but let's have a culture of accepting change and figuring out how to harness change as opposed to, you know, kind of push it off to the side, which a lot of people are still doing.

John Jantsch (13:20.366)

So there's a couple issues I was going to bring culture up. So perfect segue. There's a couple of things that I know are dear and dear, dear and dear to you because it really impacts the business work better now structure. So when you mentioned culture, you know, a lot of organizations, small businesses today, you know, this used to just be, you know, a foreign thing, but today have fractional just about everything. They bring in contractors to do certain jobs.

Certainly Work Better Now's entire business model is placing employees who are remote. So how do you manage culture? It's obviously one way to do it in an organization where everybody's there, they're all in the seats, you have the company lunches. I mean, you do a lot of the things that can build some of that. How do you manage that when you have part-time people, you have remote people, you have...

you folks that are from different cultures, you know, for example, as Work Better Now really supports them. I'm curious if you ever get any pushback from that, you know, that very thing.

Rob Levin (14:23.604)

We used to get a little bit, it's going away rapidly. So in terms of our experience, but what I will also tell you is that in my opinion, and this has worked for us, it worked better now, in my opinion, the starting point is defining your core values, right? So in other words, your core values are essentially like, what do want our culture to be?

John Jantsch (14:40.334)

All right.

Rob Levin (14:45.364)

So for example, some of ours is we put our talent first, we believe in excellence, and so on and so forth. And we recognize on those, we hire based on them. When we have to fire, we fire based on those. So there's a little bit of clarity there, starting with those core values. Then the next thing you do in a remote environment, and by the way, it doesn't matter whether somebody's in three states over or the next continent over, remote's remote, is we over-communicate.

We over communicate. we have a weekly staff meeting that we have. We have teams. have updates on teams. We reiterate anything that's important on email. It's really, really important to over communicate. Then I'll also add that KPIs in a remote environment, KPIs are important period, but KPIs for every job and several KPIs when possible for every single role in the company is extremely

important because at least now you have something you can measure people on. And then also, this is one that I only talk a little bit about it in the book, but it's been coming up in conversations a lot more lately, is something as simple as clarity.

You know, I was talking with a business owner last week. can't remember what the role was that they were discussing in their company. It was actually in my, in one of my CEO peer groups. And I said, you know, the way you're talking about this, I don't think you made it very clear. And this is a very polished business owner. I don't think you made it very clear what your expectations were. And then I don't think you had the proper check-ins to make sure that this person was on track. So when people are in the same office.

It's a little easier, right? There's the water cooler. You just kind of roll your chair back and say, hey, how are we doing with this project? In a remote environment, you need a little bit more structure. That's also where the communications come into play.

John Jantsch (16:41.72)

Yeah. You you mentioned that KPIs and I think a lot of people don't realize that those are a two way street as well. You know, I mean, lot of business owners are like, I'm giving you these so that, you know, I know if you're on track measuring you, but I've talked to a lot of employees. They're like, thank God you gave me these. I have, so I know what I'm supposed to do here. I know how to win. Because I think a lot of times it's just like, do the work and you know, hope everybody's happy. And so I think that,

Rob Levin (17:01.748)

That's right.

John Jantsch (17:11.22)

we sometimes probably underestimate those KPIs are as much for that employee as they are for us.

Rob Levin (17:17.492)

think they're actually more for the employee. And if anything, when I see a company that doesn't have KPIs, more often than not, what has happened is that the employer or the manager, whomever it is who has the responsibility of overseeing somebody, has not really figured it out themselves what's important in its role. So how can you have clarity?

John Jantsch (17:20.13)

More? agree.

John Jantsch (17:36.812)

Right? Right. Right. Yeah.

Rob Levin (17:41.172)

you know, when you yourself don't know. And it's not okay to say, I know it when I see it, because it doesn't work when you're on the receiving end.

John Jantsch (17:47.438)

Yeah. You know, and one of the beauties of AI quite frankly is that you can go to a chat GPT or whatever tool, you know, even if it hasn't been trained that much and you can actually ask it what here's our goal. You here's what we're trying to do. What should we be measuring? I mean, instead of trying to sit around and go, okay, I need to write all these job descriptions and KPIs or whatnot, you know, just, just have a conversation with these tools and, and it, you know, it,

may not be tuned 100 % to you because it's kind of doing the average of what the world does out there, but it may be a great way to start rather than you just saying, don't know where to start.

Rob Levin (18:26.514)

Yeah. You know, I, what, what, one of the things that frustrates me even pre AI, but certainly now in this AI world is when somebody's like, well, I'm going to do it this way, as opposed to actually trying to research the best practice, which pre AI you can do based on an internet search now with AI, right. it's, it's inexcusable to not have tapped into this wealth of knowledge, right.

John Jantsch (18:42.914)

Sure.

John Jantsch (18:51.554)

Benchmark your industry no matter what the size your business is, right? Yeah, exactly.

Rob Levin (18:54.098)

Yeah. And by the way, you know, yes, absolutely, you should be doing this and for every role and that'll help you come up with the KPIs and projects and even qualitative ways to assess people and communicate what the role is all about. But let's also be clear, John, and you and I know this and I hope everybody's understanding this. You're only scratching the surface about what with what AI can do for your company by using it as a thought partner, which is what we're talking about.

John Jantsch (19:21.966)

Yeah, yeah. I'm curious, what have you learned since you wrote the book and since you've been out there talking to people about the book? I asked that question specifically or maybe because I've written books and I just always know that like I'll have conversations or I'll go on speaking and somebody will say something to me. I'll go, dang, I wish I would have put that in the book. That's great. I'm curious if you had any of those a-ha's.

Rob Levin (19:45.78)

Well, it's slightly different. The biggest aha I have is what we were just talking about. the AI chapter of my book was written a little over a year ago. you know, now what's in there still applies, which what I said a little over a year ago was experiment and encourage everybody to experiment. By now, yeah, you have to do that, by the way, you should do that. Now it's take a course and figure out.

What are some of the biggest challenges you have in your business and how can AI help you with those challenges, not only as a thought partner, but actually in doing the work? then you have to start to think about...

And if I was writing the book today, this is what would be in it regarding AI is how do you get your team to go from doing the work to managing the AI, refining it, checking the results? Because AI is not going to get it perfect all the time, but it's going to do a great job in a lot less time. And again, we're only scratching the surface on what the capabilities are.

John Jantsch (20:52.152)

Well, it's interesting. mean, you could, you could really point to that as maybe the major mind shift that the companies need to have is to start encouraging employees to, to do just what you said. How can you get AI to do this work? Especially a lot of the routine kind of stuff. But I'm sure you're hearing from people that are, you know, the employee is like, yeah, work myself out of a job. Great. So I do see that fear, you know, is that a lot of companies are just going into people and saying,

figure out how to use AI to do your job. And I think the implied issue with that is like, then I won't have a job.

Rob Levin (21:28.884)

Right. Which, which, you know, I guess it's on us employers to, to manage that. And I can tell you what we're doing at Work Better Now, which is we're telling everybody, look, this is the direction we're going in. We're going to provide the training and then it's on the employee really to pick up the ball and to do it. And we told everybody we are not, we have no plans on any layoffs. We are expanding, we're growing. And with AI, we just hopefully are not going to have to add.

John Jantsch (21:35.939)

Yeah.

Rob Levin (21:58.46)

a lot of headcount, right? And yet, you know, we'll we should see improved outcomes. And I think this is an opportunity for all of our employees, because we are going to work, I guess you can say kind of like pioneering, you know, company or space in our size. And, you know, we we're making it very clear, like, look, as long as you figure this out, again, we're providing the training, you know, your your job is safe. In fact, your job is going to be more important

John Jantsch (22:12.812)

Yes.

Rob Levin (22:28.374)

than ever.

John Jantsch (22:29.944)

Yes, be more productive. Well, Robert, I appreciate you taking the moment to stop by the Ductate Marketing Podcast, anywhere you want to invite people to find out more, to connect with you, of course, but then also find out more about your work and find out more about your writing.

Rob Levin (22:42.472)

Yeah, you can just search for New Talent Playbook if you want to pick up a copy of the book or New Talent Playbook Substack or podcast. Just Google that in and it'll pop right up. And of course, if you are looking for offshore talent, near shore talent in our case, that's WorkBetterNow.com.

John Jantsch (22:59.286)

Well again, appreciate you stopping by and hopefully you've dug out of that snowstorm in New York.

Rob Levin (23:04.936)

Yeah, thanks, John, and great to see you. Thanks for having me on show.



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Why Voice AI Is Ready for Prime Time

Why Voice AI Is Ready for Prime Time written by John Jantsch read more at Duct Tape Marketing

Catch the Full Episode:

Episode Overview

Voice agents are rapidly evolving from novelty tools into core revenue infrastructure. Instead of functioning as glorified talking FAQs, today’s AI voice systems can serve as qualifiers, schedulers, concierges, onboarding guides, retention reps, and upsell assistants.

In this episode of the Duct Tape Marketing Podcast, John Jantsch interviews Ryan Mrha, founder of Yodify, a platform that enables creators and brands to stay personal at scale through AI-powered voice and text agents trained on their content libraries.

Mrha explains why purpose-built voice agents outperform generic AI tools, how multi-layered LLM orchestration reduces hallucinations, and where businesses can safely begin experimenting with voice AI. The conversation explores the future of buyer behavior, the role of AI in modern sales processes, ethical transparency considerations, and practical implementation strategies for agencies and creators alike.

If you’re curious about where voice AI fits in your marketing, sales, or customer experience strategy, this episode delivers both vision and practical guidance.

About Ryan Mrha

Ryan Mrha is the founder of Yodify, a platform that helps creators and brands maintain personal engagement at scale. Yodify allows followers to call or text an AI agent that speaks in the creator’s own voice, grounded in their existing content library.

By combining voice cloning, multi-layer LLM orchestration, and structured prompt engineering, Mrha focuses on building purpose-driven AI agents that feel authentic, aligned with brand voice, and capable of performing specific business roles.

He is also involved in launching Methodiq, a platform focused on AI-powered facilitation experiences.

Key Takeaways

1. Voice Agents Are Moving from Novelty to Revenue Infrastructure

Businesses should stop thinking of voice AI as a talking FAQ and start treating it as a role within the organization, such as a business development rep, onboarding assistant, or scheduler.

2. Generic AI Tools Deliver Poor Results Without Role Design

Simply uploading a knowledge base and prompting “act like John” produces inconsistent outcomes. Effective voice agents require:

  • Defined job descriptions
  • Multiple orchestrated LLM layers
  • Targeted prompts for specific states or roles
  • Structured knowledge access

3. Multi-LLM Architecture Reduces Hallucinations

Instead of relying on a single large prompt, Yodify breaks tasks into targeted LLM calls, such as orchestration, action execution, and response generation. This improves accuracy and reduces hallucination risk.

4. Buyer Behavior Is Changing

Modern buyers prefer to:

  • Conduct independent research
  • Avoid early-stage sales conversations
  • Engage only when close to making a decision

Voice agents can provide 24/7 answers without hard selling, aligning perfectly with this shift in buyer psychology.

5. Transparency May Become a Competitive Advantage

There is still tension around whether users feel “duped” when speaking to AI. However, proactively positioning a voice agent as an “AI advisor” may enhance trust and acceptance.

6. Start Small with Clear Use Cases

The best way to implement voice AI is through a focused, low-risk pilot:

  • A receptionist agent
  • Appointment scheduling
  • A simple qualification call flow
  • A basic single-prompt LLM test

Start narrow. Prove ROI. Then expand.

7. Voice AI Is Especially Valuable for Creators

As creators scale, personal interaction becomes impossible. Voice agents allow fans to text or call an AI trained on the creator’s content, maintaining connection while scaling engagement.

Great Moments from the Episode

  • 00:03 Voice Agents as Revenue Infrastructure
    John frames the shift from novelty AI to functional, role-based AI agents.
  • 01:12 What a Voice Agent Actually Is
    Ryan explains how voice agents combine LLM responses with text-to-speech tools.
  • 02:23 Why “Just Upload Everything” Fails
    Discussion on why dumping a content library into an LLM produces poor results without structured orchestration.
  • 03:42 Role-Based AI vs Emotional AI
    Clarifying that effective agents are built around business roles such as sales, support, and concierge, not emotional states.
  • 07:11 AI in the Modern Buyer’s Journey
    Exploring how voice agents can replace early-stage sales calls.
  • 10:18 Do Customers Feel Duped?
    The ethical and experiential implications of AI transparency.
  • 12:08 Building a Purpose-Built Agent
    Ryan outlines how projects begin with small, focused use cases.
  • 13:30 The AI Receptionist Use Case
    Why simple use cases like scheduling can deliver immediate value.
  • 18:54 Safe Pilot for a Marketing Agency
    How agencies can test AI voice agents without major risk.

Memorable Quotes

  • “Voice agents are moving from novelty to revenue infrastructure.” John Jantsch
  • “If you’re very specific about what you want the LLM to do, you’re going to get much better results. It can’t do too much at once.” Ryan Mrha
  • “People don’t want to be sold. They just want to ask their questions.” Ryan Mrha
  • “There’s no point in building something your customers don’t want.” Ryan Mrha

Resources & Links

John Jantsch (00:03.032)

So voice agents are moving from novelty to revenue infrastructure. And if that's is if you stop treating them like talking FAQs and start treating them like a role, maybe qualifiers, scheduler, concierge, onboarding guide, retention rep, upsell assistant. That's what we're going to talk about today.

Hello and welcome to another episode of the Duct Tape Marketing Podcast. This is John Jantsch. My guest today is Ryan Mrha. He is a founder of Yodify. Yodify helps creators and brands stay personal at scale by letting them, letting followers call and text an AI that speaks in the creator's own voice grounded in their content library. So Ryan, welcome to the show.

Ryan Mrha (00:47.59)

Thanks for having me.

John Jantsch (00:48.686)

Did I say, you know, I asked you how to pronounce your last name, but then did I pronounce your O-T-L-F-Y right? Okay. Awesome. So we're talking about voice AI. So let's, let's kind of set the table. There's a lot, you know, there's IVRs, there's LLMs are, you know, participating chat bots. mean, so, so what's a voice agent?

Ryan Mrha (00:53.748)

Yes, it is Yodify.

Ryan Mrha (01:12.166)

Yeah, so a voice agent, or mean, most agents are just interacting with an LLM. A voice agent is essentially just an LLM that knows it's supposed to respond in a way that's like naturally speaking. And then you use another tool to have it actually read that text out loud as it's coming. Yeah.

John Jantsch (01:18.37)

Mm-hmm.

John Jantsch (01:36.366)

So typically, like if I had a library, if I wanted somebody to be able to answer questions about my business or my service, I would just give it everything I could. And then hope when somebody asked a question, it would access the right thing in giving a response. I is that as simple as it comes?

Ryan Mrha (01:52.634)

Yeah, I mean, essentially that's what it is. So you want to build a knowledge base, but there's kind of two components to it. So one is, let's say all of the episodes that you've ever done, and we could take all that text and we could feed that to the LLM that it could use for context. But the other piece is that we also have to make the agent feel like you and act like you in different points that you interact.

John Jantsch (02:11.98)

Mm-hmm.

John Jantsch (02:23.566)

So you mean literally you, like it would sound like they were talking to John Jance. Yeah.

Ryan Mrha (02:27.83)

well, yeah. So, we do also clone the voice. So we could take a lot of your audio and use that to clone your voice. But the thing that we've been finding is that a lot of people will say, here's a prompt, Hey, you're an LLM be John Jance and here's all of his episodes. And they're typically getting pretty poor results with that because you, as say a podcast host, you have a lot of different states.

John Jantsch (02:32.814)

Okay. Yeah.

Ryan Mrha (02:55.37)

Sometimes you may be, I don't know, explaining something and sometimes you may be asking a question or pushing back on something. And so what we try to do is we try to have a few different LLMs that an agent can call on and can be different versions of you and have different access to pieces of knowledge that you may need at a certain time. So that way it sounds like you, it feels like you, it responds like you.

John Jantsch (03:25.376)

And would it be as simple to say, you know, when I hear you describe that, I'm like, this is when John's feeling kind of sad and this is when John's having a good, really good day and happy, or is it really more, this is John in his sales hat and this is John in his customer service hat.

Ryan Mrha (03:32.592)

Yeah

Ryan Mrha (03:42.032)

Yeah, exactly. It's, going to be the latter. and that's what's going to make it feel like you're actually speaking to a person compared to, you know, just the LLM, because what a lot of people are used to is, speaking with LLM, like over a chat window, you know, chat, GBT or something like that. And that hides a lot of the sort of mistakes, but when you start talking with it, you realize, you know, Very quickly. Yeah.

John Jantsch (03:43.256)

Yeah.

John Jantsch (04:08.706)

Yeah, Yeah, it butchers my name, you know, for example. But, but yeah, and I think so where do you think we are in the world today? Are, you know, at one point, you know, people were like, I hate those things or gosh, I'm talking to a robot and you know, that, but I've, get the sense that now as more and more, well, first off, as the technology has gotten better, but as more and more people have had good experiences.

Ryan Mrha (04:13.681)

Mine as well.

John Jantsch (04:37.612)

Do feel like the acceptance to where it's like, I know I'm talking to AI and I don't care.

Ryan Mrha (04:43.299)

Yeah, think people, I mean, I really think like 2026, 2027 are going to be the years of like real voice agents. think people have been interacting in these chat functions for a while now, and they're going to want to start having a more real experience. And kind of like I was describing how we build these agents, it's going to have to be a little bit more tailored to the experience that the user is looking for. I guess where we're at in it,

John Jantsch (04:50.392)

Yes.

Ryan Mrha (05:12.291)

I think we're still actually quite early. A lot of people are not even using any voice agent, for example.

John Jantsch (05:24.28)

So one of the things that I think I picked this up from off of your website, you talk about a voice agent that critically thinks. How is that happening? I mean, again, when I hear that, hear like, you know, they're actually making decisions. know, they're not just accessing stuff and predicting what you want to hear.

Ryan Mrha (05:34.874)

Yeah, so.

Ryan Mrha (05:47.377)

Yeah, so without giving away too much of the secret sauce, we use like multiple levels of LLMs, right? And within those, there's different instructions. Like one may just be orchestrating and another one may be doing an action. Another one may be calling a a different LLM to give it a response. So we break up all of those tasks to be, so that way each

LLM call is like very targeted. and that's kind of, that's kind of the mistake that we're seeing a lot of businesses, like fall into right now is they buy a cool AI tool. It looks great in the demo. And then they, they get their hands on and they're like, this isn't working for me. It's because they're using like a very general package and the way the LLMs work is like, if you were very specific on what you want, you're going to get much better results, but it can't do too much at once.

John Jantsch (06:44.686)

Sure. Yeah, you can't just brain dump the entire organization's knowledge base in there and hope it finds what you're looking for. So I'm curious about this because I have, you know, the way people are buying today is really changing, right? I mean, they're doing a lot more research. They don't want to do a sales call. I mean, they want to get all the way to almost to the point of deciding and then have like a consultation, you know? And so...

Ryan Mrha (06:51.524)

Unfortunately, yeah. Right.

Ryan Mrha (07:09.873)

Definitely.

John Jantsch (07:11.634)

I have a theory that AI agents are going to play a role in that because where people will actually offer them, not ready to talk to a human, talk to the AI voice agent, they can answer all your questions and they're not going to hard sell you. mean, they're not going to... Do you feel like there's a point in the buyer's journey where that's actually going to be seen as a value add as opposed to a convenience?

Ryan Mrha (07:19.858)

Mm-hmm.

Ryan Mrha (07:35.155)

I love that you brought this up because we were actually planning on doing this. Yeah. You know, just like when you go to a website now and you, you know, a little chat thing comes up and it's like, Hey, maybe I can answer a few questions. Yeah. The technology is there to be like, you know, take it that much further. And the reality, especially like in software and technology, a lot of the sales and procurement process is just about making sure that you get the legal documents passed back and forth.

John Jantsch (07:38.339)

Yeah.

John Jantsch (08:03.79)

Mm-hmm.

Ryan Mrha (08:04.666)

I think that we're going to see a lot more of those roles focus on that piece and then the answering questions and explaining the product. People don't want to be sold. They just want to ask their questions. They want to get to experience it. So in some ways, AI is kind of perfect for that.

John Jantsch (08:23.532)

Yeah. And, and they can hang up, right? I mean, it's like, I'm not getting the answer. I went, I'm just going to hang up. You know, it's like, I'm not going to be rude to a person maybe, but you know, this, this is, can just hang up on this. So.

Ryan Mrha (08:28.069)

Yeah.

Ryan Mrha (08:35.45)

And on top of that, you can do that at three in the morning as well. Right. Like you don't have to be waiting for that, that call next week and they're busy or we got to go to this conference and you know, it's instant.

John Jantsch (08:38.112)

Yeah, right,

John Jantsch (08:45.806)

So let's talk that through. Let's, I think you also use the term purpose built. Let's, let's walk through the framework of giving a voice agent a job description. And then, and then maybe let's explore what the limitations are. So let's, let's go with a typical kind of business development agent. Somebody buys a low cost product on your website and you want to upsell them to the higher cost. You know, can a voice agent reach out or is that really more of a, we're going to train that person to be able to.

answer anybody's questions that they might have about what's next.

Ryan Mrha (09:20.476)

So there's full tools available already that have this like full, we've experimented a lot with one of them for building some of our agents, just because the functionality that they come with where they can already call, they can lead the conversation. They'll have sort of what you can, like if you can imagine like a timeline and then along that timeline, you have different prompts. And when the agent...

John Jantsch (09:36.173)

Mm-hmm.

Ryan Mrha (09:46.535)

gets to a certain criteria, it meets that, it goes to the next prompt. And so these tools are very cool. You can have a conversation with it and feel like you're speaking with a person and you can get very advanced with it. can remember your names or your ticket number or things and reuse them later and go update the database when it's done. And on top of that, you can use it a thousand times at the same second instead of

John Jantsch (09:50.86)

Mm-hmm.

John Jantsch (10:05.389)

Yeah.

Ryan Mrha (10:15.666)

just like an individual.

John Jantsch (10:18.158)

So do, do, you, are we at a point where some people are feeling duped? Like, you know, where it's like, thought I was talking to a human and even if they got the result they wanted, it still felt, you know, they still felt sort of deceived.

Ryan Mrha (10:36.506)

I was on a call the other day and I was trying to ask the person, like, are you a AI agent? And I think they felt offended if they, because maybe they weren't, but I'm still not convinced they weren't, you know, because, but there's, certain tells that, you know, if you speak with these all the time, you're like, okay, there's a delay here. And, the accent is changing a little bit and things like that. so yeah, I think people.

John Jantsch (10:42.798)

reasons.

John Jantsch (10:48.641)

Yeah.

John Jantsch (10:59.469)

Yeah.

Ryan Mrha (11:03.984)

I think people don't want to feel that they're talking to an agent yet, but I do think that's going to change.

John Jantsch (11:09.762)

Well, and do you think we're at a point where, and I'm not saying disclose it,

because it's an ethical thing, but just to disclose it because people want to, it's a transparent thing. It's like, Hey, talk to our AI advisor. They're, you know, they have all the answers for you. So, I mean, it's like right up front, even though it feels like a conversation, I know it's not. I mean, you think we're, that's the, that's kind of the crossroads right now.

Ryan Mrha (11:30.492)

Yeah.

Ryan Mrha (11:34.897)

I don't know. I'm one of those people that, you know, do like, do you want to share your data? And I'm like, yes, take all my data and customize my experience and things like that. but I could imagine there's a lot of people who want to be very private. yeah, I think that's going to be a hurdle that we have to, we have to face. And it is going to be a deciding factor, like, how people decide to do business with certain companies, you know, it should at least be on the website.

John Jantsch (11:40.974)

Yeah, yeah, yeah, yeah.

John Jantsch (11:59.148)

Yeah,

I forgot to tell you when we booked this interview, I do need your social security number.

Ryan Mrha (12:06.642)

No problem.

John Jantsch (12:08.91)

Okay. Now, so, so to walk me through, if I came to you said, Ryan, need this, um, business development agent. Um, like what's how, how's the process go? What do you need from me? What, you know, how do we put guardrails on it? I mean, what, what's the pro how's the process work?

Ryan Mrha (12:25.872)

Yeah, so we're always going to start with like a single small use case and try to like nail that down and then kind of build things on top of it. We're also going to just try to like, like for me, it's very big about matching to a brand in brand voice and making sure that it's consistent with the experience you want your users to have. We build a lot more agents that are in the

John Jantsch (12:44.27)

Hmm.

Ryan Mrha (12:53.776)

Like we have a big one for facilitation. So maybe it's not trying to sell you something, but you still want it to experience like a full facilitator. So what that looks like is breaking down what makes a good facilitator and then building all those different pieces, putting them together, matching it to your brand and letting you use it in your company.

John Jantsch (13:09.591)

Mm-hmm.

John Jantsch (13:20.952)

Do let's just go with a really, really basic receptionist. mean, is that a, is that a use for this or is that to almost too basic?

Ryan Mrha (13:30.489)

No, I think, I think basic is good. yeah, you, could definitely, you can have a, an agent receive a call quickly, book an appointment with you. kind of like what you talked about or asked about, are people going to feel kind of duped by it? I think there's a lot of scenarios where people are actually going to appreciate it more. And maybe, maybe it takes some time to get there, but I mean, if you can offer me a product at a lower cost and because I speak to AI agent and like.

John Jantsch (13:47.522)

This is

John Jantsch (13:51.671)

Sure. Sure.

Ryan Mrha (14:00.476)

great, you

John Jantsch (14:01.474)

Well, and I think for a lot of routine things that people want to do, I know personally, things like, you know, once a year I go get contacts, you know, and I just want to be able to go on there and schedule an appointment. I don't want to call somebody to do that. And so I think there are a lot of things like that, that are going to be AI enabled that, you know, that people are going to actually want and appreciate. Because as you said, it's three o'clock in the morning. I want to do that. Right.

Ryan Mrha (14:10.875)

Mm-hmm.

Ryan Mrha (14:14.193)

Mm-hmm.

Ryan Mrha (14:23.762)

Definitely.

Ryan Mrha (14:28.25)

Yeah, yeah, exactly. It did change the game. And it can also be a hybrid approach where, you know, yeah, I hit zero if you want to speak to that person, but.

John Jantsch (14:39.468)

I know one of the fears that people sometimes have is that, you know, the AI agents going to hallucinate, it's going to be wrong. It's going to actually say something that is maybe counter to the brand. How do you, you know, are there, there's probably some instances where you should never use this. It would be one thing, but, but, but how do you also put the guardrails on?

Ryan Mrha (15:03.91)

Yeah, so we do put guardrails in the prompts, but I'm a big fan of the Gemini models because of that, even though maybe they're a little bit less fun or something like to talk to, they definitely hallucinate less. So that's probably the biggest step you can take. But it's also just about being specific. If you give the agent the right context of what it's trying to do, then it doesn't have to go fill in the blanks itself. So a lot of it

John Jantsch (15:14.316)

Yeah.

Ryan Mrha (15:33.82)

comes out in testing, we'll find, okay, why did it come up with that? And then we'll go back, we'll revisit the prompts and find out, we maybe overemphasize this or didn't give it clarity on what to do here. One thing you can also do is just, give it like a document in your knowledge base, kind of where it can find things. If it doesn't find something, here's some ways you can respond.

John Jantsch (15:50.604)

Mm-hmm.

John Jantsch (15:57.198)

So if you're using Gemini, then could you put a lot of these sources in like a notebook LL or something or, and then be able to tap it that that make that be its library.

Ryan Mrha (16:08.338)

Connect directly to notebook. I have not tried that. I do love notebook. Do you use it a lot?

John Jantsch (16:11.651)

Yeah.

John Jantsch (16:14.968)

Yeah. Well, Jim and I, yeah, Jim and I does connect directly to notebook as a source. now, yeah, yeah. So it's, I've been shortcutting training because I'll build the notebook LMS with 300 documents in it. And then, you know, just be able to say, source these three. so it kind of gives you, it's a, it's a good best of both worlds. your model is voice and phone number, right? Voice and phone call.

Ryan Mrha (16:21.039)

okay. Yeah.

Ryan Mrha (16:42.318)

Yes, so the Yodify model is phone. We can text it. We can also deploy it within the web app, just like the service we're using here.

John Jantsch (16:56.27)

But there is no avatar. There's no video component to it. It's just voice. Yeah.

Ryan Mrha (16:59.538)

No, the way we see it is that a lot of people are going to want to be able to have conversations with their creator, the creators that they follow. So, you know, maybe when you were a bit of a smaller creator, you could interact with all of the different fans and everything and respond to every comment. And then as you get bigger, it becomes more and more difficult. But that doesn't mean people still don't want to communicate. we can do that with sort of

John Jantsch (17:14.113)

Mm-hmm.

Ryan Mrha (17:26.95)

them being able to just text you directly and have conversations and, I'm going through this. What's your take on it? And yeah, it's not the real thing, but it is, you know, still valuable for a lot of people.

John Jantsch (17:38.83)

So where do you feel like you fit in the category? Is 11 Labs a competitor or are they just tangentially related? mean, where do you fit in the category? Yeah, okay.

Ryan Mrha (17:53.587)

We use 11 Labs. yeah, they provide voices. They do a lot of great stuff. We combine the different pieces, the different tools that these producers are making and try to bring them to market. I think there's a lot of cool tools out there, but people haven't...

John Jantsch (18:01.197)

Yeah.

Ryan Mrha (18:20.316)

figured out really like great use cases that are going to enhance people's lives. So we're trying to, you know, meet them there.

John Jantsch (18:22.796)

Yes.

John Jantsch (18:26.446)

Yeah. Yeah. I kind of laugh at some of the tools are like, well, okay, it's cool. can do that, but like, why, you know, where, how, you know, would you use that? So, so if somebody's listening and they're like, Hey, I want to, I want to try this out like next month. Um, what's the, let me give you a concrete example. I have a marketing agency, so you can use that as the example. Um, what would be the smallest kind of safest experiment that you think a marketing agency could.

Ryan Mrha (18:34.69)

Yeah, yeah, exactly.

Ryan Mrha (18:43.378)

Yeah.

John Jantsch (18:54.84)

could do that would still provide ROI, either in marketing or for their clients or just even in efficiencies in the business.

Ryan Mrha (19:04.301)

you mean sort of to prototype themselves?

John Jantsch (19:06.22)

Yeah, yeah, to kind of give it a test, like a pilot.

Ryan Mrha (19:10.458)

Yeah, I would say, I mean, chat GPT has these, I think they're called GPTs. I think that's a nice way to test something. Yeah. I think that's a nice way to sort of test. can upload a few files and like talk with it be like, is this interesting for us? Definitely have a few customers try it because there's no point in building something that your customers don't want. And then, yeah, if you're getting a lot of good reactions, then you can, you know, engage us or we can point you in the right direction to.

John Jantsch (19:17.634)

Yeah, custom GPTs, yeah. Right.

Ryan Mrha (19:40.262)

to somebody that would.

John Jantsch (19:41.176)

Well, I guess I asking specifically about Yodelfine. Like if somebody wanted to do a pilot, came to you and said, we heard the show and we want to do a pilot, but we want to start really small. Is there a place that you would say, hey, this is a small, safe experiment that I think you'll get some value from?

Ryan Mrha (19:50.15)

Yeah.

Ryan Mrha (19:59.729)

Yeah. So what we would do is we would probably do like a single prompt LLM. So very, very basic, which is basically what I told you we don't do, but it's, kind of the starting thing that you can play around with. We'd have like a single prompt. We'd upload a few of your, your files. And then we would let you call it and be like, you know, maybe we do like a very quick and dirty, like voice clone and we'll say like, okay, is this interesting for you? Maybe show it to a few your customers, get some feedback. And then.

John Jantsch (20:07.982)

Yeah.

Ryan Mrha (20:28.454)

Yeah, we have different ways we can price it. We like to be an additional revenue stream for creators. But yeah, it could be an ad agency. We can build all kinds of agents. But for our creators, we try to be an additional revenue stream. So maybe they already have a paid tier, and they can incorporate it in there and add $0.02 on or something like that.

John Jantsch (20:50.99)

Gotcha. Okay. Well, again, appreciate you taking a few moments to stop by the duct tape marketing podcast. Is there some place you'd invite people to connect with you learn more about YOLOFi?

Ryan Mrha (21:00.57)

Yeah, so LinkedIn is my main social media. So you can find me on LinkedIn, Ryan Murha. Yeah, we have yotify.com. And then that's actually a brand that belongs to another bigger project, Methodic, which is actually going to be launching here, the beta version. So if you're interested in checking out AI facilitation, would be awesome to get some beta users.

John Jantsch (21:24.366)

Awesome again, appreciate you stopping by and hopefully maybe we'll run into you one of these days out there on the road.

Ryan Mrha (21:30.685)

Sounds great, thanks for having me.

John Jantsch (21:32.066)

Thanks, Russ.



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Thursday, February 19, 2026

Build a Business People Can’t Imagine Losing

Build a Business People Can’t Imagine Losing written by John Jantsch read more at Duct Tape Marketing

Catch The Full Episode:

 

Episode Overview

In this episode of the Duct Tape Marketing Podcast, John Jantsch interviews Marcus Buckingham, renowned researcher, strengths movement pioneer, and bestselling author, about his latest book,
Design Love In: How to Unleash the Most Powerful Force in Business.

While “love” may seem like an unconventional business term, Buckingham makes a research-backed case that love is the strongest predictor of productive human behavior. From customer loyalty to employee engagement and retention, organizations that intentionally design experiences people love consistently outperform those that focus solely on process, perks, or performance metrics.

Buckingham introduces Experience Intelligence, a leadership capability centered on
intentionally designing holistic experiences that drive emotional connection and lasting behavioral change. He also outlines a five-part emotional blueprint leaders can use to engineer loyalty, advocacy, and sustainablegrowth.

If you want to build a business customers cannot imagine living without, and a workplace employees genuinely love, this episode delivers a practical and strategic roadmap.

About Marcus Buckingham

Marcus Buckingham is a globally recognized researcher on high performance at work and a pioneer of the
strengths-based leadership movement. He is the author of multiple bestselling books and has spent decades
studying what drives exceptional team performance, employee engagement, and customer loyalty.

In Design Love In, Buckingham presents research demonstrating that love, not engagement, satisfaction,
or respect, is the most powerful predictor of positive human behavior in business.

Learn more: designlovein.com

Key Takeaways

  1. Love is predictive. Satisfaction and respect are positive, but love most reliably drives loyalty and advocacy.
  2. The “five” is what matters. On a 1 to 5 scale, behavior changes when people move from a 4 to a 5.
  3. Measure love with a high bar: “I can’t imagine a world without ____.”
  4. Leaders are experience makers. The question is whether you design experiences skillfully.
  5. Experiences drive behavior, not directives. Sustainable change comes from how people feel while moving through your system.
  6. Moments do not change behavior. Internalized experiences form a story that drives action.
  7. Use the five feelings blueprint to design onboarding, sales, and customer journeys.
  8. Process design often kills experience. Handoffs and silos create fragmented, transactional interactions.
  9. Experience Intelligence is a strategic advantage. Designing for love helps you stand out and win.

The Five Feelings Blueprint

Use these five feelings in sequence to design experiences people love:

  1. Control. “What is this world, and how do I work it?”
  2. Harmony. “Does this experience understand what I’m feeling?”
  3. Significance. “Do you know my story, and does it matter?”
  4. Warmth of Others. “Who is here to help me?”
  5. Growth. “Am I more capable tomorrow than I was today?”

This sequence becomes a practical blueprint for designing onboarding, sales processes, customer journeys, and
employee experiences.

Great Moments (Timestamps)

  • 00:03. Why “Love” belongs in business
  • 03:21. The measurement that matters
  • 05:07. Why 4s and 5s are not the same
  • 07:21. Experience Intelligence defined
  • 09:23. Moments vs. experiences
  • 15:30. The five feelings blueprint
  • 20:13. Love as competitive advantage

Memorable Quotes

“Love is the most powerful driver of all productive human behavior.”

“Fives aren’t just lots and lots of fours. They’re categorically different.”

“The question isn’t whether you are an experience maker. You are. The question is: are you a skilled one?”

“The opposite of design is drift.”

“We’ve reduced humans to amoral elements of financial equations. That’s not very intelligent.”

Resources Mentioned

 

 

John Jantsch (00:03.288)

You know, many firms out there today spend a fortune on perks, culture programs, and engagement surveys, and still sometimes feel like they're maybe one meeting away from their entire team disengaging. Today's guest tells us maybe we've been aiming at some of their own targets. The most powerful force in business isn't strategy, compensation, or even flexibility. It's love. So hello and welcome to another episode of the Duct Tape Marketing Podcast. This is John Jantsch. My guest today is Marcus.

Buckingham. Marcus is a long time researcher of high performance at work, a pioneer of the strengths movement and the author of multiple bestselling books. We're going to talk about his newest book, Design Love in How to Unleash the Most Powerful Force in Business. So Marcus, welcome to the show.

Marcus (00:49.669)

Thank you for having me.

John Jantsch (00:51.244)

So I'll get the first easy softball question out of the way. I'm sure pretty much everybody asks you this, but, love doesn't seem like a business term or certainly, hasn't seemed like a business term for a lot of folks. are you, are you getting pushed back there or are you trying to redefine how people even think?

Marcus (00:56.666)

Hmm.

Marcus (01:10.479)

Well, no, you're right. I mean, it isn't really a good business term, but my background as a researcher is just, I'm always studying extreme positive outcomes. So for teams, it's productivity or retention and for customers, it's loyalty, obviously, and advocacy for your brand or your product. And when you study people that have an extreme positive experience, the word that people reach for

instinctively as humans is love. People will say, I love working on that team. I love that leader. I love that product. I love that restaurant. I love that hotel. And for the longest time, mean, you know, may I culper, but for the longest time, I listened to what people say. And of course, there's two different kinds of research. You can do quantitative research where you're actually measuring people's experiences and relating it to performance. And you can do qualitative research. And when you're doing qualitative research, you're supposed to really just listen to the words people use and then take them at their word. And I kept changing it.

John Jantsch (01:39.384)

Yeah, yeah.

John Jantsch (01:52.91)

Right.

Marcus (02:03.779)

I kept changing the word love to things like satisfaction or engagement or joy or passion, which are good words, but it's not the words people use. When people are trying to describe some extreme positive experience they want to repeat, the word we naturally reach for is, love that. I love it. I love that. And I think for the longest time I would try to change it in order to make it more palatable. But if you actually look at the data and I start this book really diving into the data on love, there's no question that

John Jantsch (02:03.982)

Mm.

Marcus (02:33.089)

Love is the most powerful driver of all productive human behavior. If you want productivity, if you want retention, if you want somebody going, you got to come work here, it's the best place I've ever worked, or you got to come shop here, it's the best place I've ever shopped. Then you've got to take them at their word love. And that's the, that's the word that drives our behavior. And the strange thing is nothing else does. If you say, respect that leader, that's fine, but I don't know how hard you're to work on the back of that.

John Jantsch (02:49.88)

Hmm.

Marcus (03:00.441)

If you say, really enjoyed that movie. can't tell if you're to go back and see it again or tell anyone else to see it. Other positive emotions are positive, but they don't drive behavior. Only love is predictive. So that's why I wanted to zero in on this, this very specific feeling in this book, cause it's so predictive of positive human behavior.

John Jantsch (03:07.15)

me.

John Jantsch (03:16.109)

Yeah, yeah, yeah.

John Jantsch (03:21.974)

So I'm guessing some leaders the next question is going to be, well, how are we going to measure that? mean, surveys for measuring connection or outcomes or things like that I think are pretty easy to do. What's the simplest way that somebody is going to measure? Is it that they're hearing that word anecdotally?

Marcus (03:41.337)

Well, that's a big question because you can unpack that into all sorts of conversations about, know, mystery shoppers and employee opinion surveys. Probably the best question to measure it actually that we found over the years is I can't imagine a world without. Just finish that sentence. I can't imagine a world without. I can't imagine a leader without. I can't imagine a team without. And if you get, if people are providing your company name, I can't imagine a world without. mean, there's very few companies, if you think about it, that actually meet that level.

John Jantsch (03:46.755)

Yeah, yeah.

Marcus (04:08.165)

But when you get people saying, can't, you're on a, on a scale of one to five, on a Likert scale, five being strongly agree, one being strongly disagree. If you put your company name in there or you put your name as a leader in there, I can't imagine a world without, which I know is a very high standard. But when you get people saying strongly agree to that statement about your company or your leadership or your brand or your product, you've reached into their heart and somehow touch them in such a way that you're actually going to drive their behavior. So all the data.

on the scale of one to five shows us that, that fives in terms of the experience of a product or experience of a team, fives are qualitatively and categorically different than fours. Fives aren't just lots and lots of fours. In fact, if you actually plot it out, John, the relationship between experiences, extreme experience experiences and behaviors is what's called curvilinear, which basically means moving somebody from a two experience to a three.

John Jantsch (04:59.896)

me

Marcus (05:07.501)

or a three to a four doesn't actually get you any behavior change at all. It's only when you do something with your team or something with your customers that moves them from a four to a five on that scale, that you actually see a change in behavior. Which of course means that we should never top two box ever again. Never put a four with a five ever. Because you're lumping apples with oranges. should, as leaders, should look at the fives on a question, an extreme question like, can't imagine a world without. And then only then are you beginning to get to a proper measure.

John Jantsch (05:24.524)

Huh. Yeah.

Marcus (05:37.315)

of how much love is in the system for you, your team, your product, your company.

John Jantsch (05:41.804)

I'm glad you mentioned the word experience because as I listen to you talk about it, I'm guessing the companies that I can't imagine a world without are actually creating or at least thinking intentionally about experiences over delivery, results, over perks.

Marcus (05:59.149)

Absolutely.

Absolutely. mean, it's one of the defining characteristics of the best leaders. They have a capability that when you actually look closely, it's been hiding in plain sight. You don't see it taught in any business school. And yet it's really the primary driver of anything productive that we humans do, either as customers or as team members. I call it experience intelligence, which is based upon two fundamental understandings that leaders should have. Number one is that experiences drive behaviors, drive outcomes.

So often as leaders, think the directives drive behaviors, drive outcomes. If we set goals and then give corrective feedback to our people, we'll get the outcomes we want. Or for customers, if we define prices and loyalty programs, that we'll get the outcomes we want. And we do in the short term. But if you want sustainable behavior change, if you want people to tie their identity to your team or to your product or brand, you got to create an experience. You've got to understand how to reach into someone's feelings and create for them an experience which somehow then changes their behaviors.

And the second part about that is the part we just talked about. If you really unpack what are the most powerful experiences, they're the experiences that people say that they love. And that's, that's just part of the human condition. yeah, experience intelligence is a much more powerful leadership capability than we give it credit for.

John Jantsch (07:21.646)

So, and there may not be any true answer to this other than mindset change, but how do we keep experiences going? A lot of times in experiences, I went to this restaurant I've never been to, amazing experience. Went back the next time, not as good. Next time, not as much, because I'd already experienced the experience, right? I mean, so how in a living, breathing organization do we kind of keep that level of experience something that...

keeps people wanting to come back or keeps people experiencing something new.

Marcus (07:55.546)

Yeah, it's, it's one of the funny things over the last sort of years I've been talking about experienced intelligence. I thought the, I thought the hardest lift was going to be, could you please take love seriously? Cause love is a predictor of positive human behavior. But actually, John, it's been more that getting people to understand that the driver of behavior is experience. Just getting people to think about, what makes up an experience? Cause normally we design for process.

John Jantsch (07:59.694)

you

John Jantsch (08:11.054)

Hmm.

Marcus (08:22.767)

We don't design for experiences. Even if you have a restaurant, you have a reservations process. You have a food preparation process. You have a food delivery to the table process, which is really a set of disconnected processes with one hand off after another. We don't actually design for a holistic experience in which a person, a human is going through that experience at the restaurant. Although actually that is what's happening. And so what the first big lesson for leaders is you are an experience maker.

John Jantsch (08:23.213)

Yeah.

John Jantsch (08:47.437)

Yeah, yeah.

Marcus (08:53.275)

The question isn't are you one or not? The question is are you a skilled one? And then once you can get people's minds that we're totally totally Here's the thing about human beings we pick up what you're putting down even if what you're putting down you just dropped But we're picking up what you're putting down and turn it into an experience and it's that experience then determines whether or not we come back whether we tell anyone else to come back So the first thing is you are an experience maker. Please don't say you're not you are the question is can you do it? Well? second is that the

John Jantsch (08:57.74)

Right. Yeah, because you could also be making bad experiences, right? Because you... Yeah.

John Jantsch (09:13.836)

Yeah. Yeah.

Marcus (09:23.183)

The raw material of experience making isn't moments. mean, weirdly enough, a moment is jolting. A moment doesn't change behavior. Like we should have magical, magical, delightful moments. Well, yes, but a moment is like somebody held the door open for you or a moment is somebody remembered your name, which is someone waved you into the traffic on the freeway. And those are lovely, but they're jolting. They don't change your behavior. And experience is different because it's been internalized by the person. The person has picked up all the different touch points.

of that experience and made for them a story. And it's that story, the experiential story that changes their behavior. And to your question, the raw material of making an experience are all of the different, and this is why it's difficult, but all of the different touch points that the person's picking up. And those touch points might be the voice on your interactive voice response on your reservation line. It might be the smell of that restaurant. It might be the lighting of that restaurant. It might be the name.

person that remembered your name, but it also might be the fact that you've designed a system whereby there isn't three or four different people who you get handed off to when you sit at the table from the busser to the host to the waiter to the person who brings the food, which is, if you think about it, a really unloving thing to do for someone because they're being handed off from one person to another. So every single touch point does work in experience making. And most leaders, frankly, are blind to this. They don't see the

the the smell, the taste, the feel of those chairs against the back of your leg. But actually, if you are a skilled experience maker, and you think about the companies that we would almost immediately go, can't imagine a world without, like say Disney. I mean, I'm not saying Disney is perfect by any means, but they have taken the skill of experience making very seriously indeed. So that all five senses and the touch points associated with all five senses,

are taken seriously by really every single cast member. And I suppose that's the last thing I would say about experience design. Everybody's got a voice and a responsibility in it. can't, it's so amazing to think that there's so many businesses where the frontline people who are touching the customer every day, no one's ever told them that they're actually making an experience with every single, every single glance, every single behavior change, every single look in the eye or not look in the eye. All of those things are experience making.

John Jantsch (11:39.768)

Yeah.

Marcus (11:47.448)

You have that power. We don't ever really talk about our frontline roles in that way. And yet that's exactly what they're doing.

John Jantsch (11:57.23)

And you know, it's interesting. We, lot of our clients, lot of the work we do is, is really digital. It's not necessarily, you know, human interactions. but it's, it's interesting because it's still an experience. I can't tell you how many times we've, you know, gone into looked at organizations. It's like, well, this is broken. And when somebody clicks on this thing, they don't get to where you thought they were going. Cause nobody's looked at it for five years. You almost could make the case. I hate goofy titles.

But couldn't you almost make the case for having an experience maker, you know, title that somebody who is looking at all the, know, the way a customer goes through our business.

Marcus (12:32.314)

Yeah, it's interesting that you are beginning to see chief experience officers. You're beginning to see that because people are beginning to realize that if you want sustainable behavior change, then you have to be a designer of experiences because the opposite of design is drift. And we drift a lot because we design for process. I mean, to take a silly example, which isn't a digital example, like some of your clients, but if you take the restaurant example, or you could take a hospital example. If you think about

John Jantsch (12:36.31)

Yeah, yeah, yeah.

Marcus (13:02.63)

how we've designed hospitals, the person who checks you into the hospital is not the person who takes your vitals, who is not then the person who makes sure that you're okay during the middle of the night, who's a different than doctor who you see in the middle of the night, who's then a different healthcare provider or practitioner first thing in the morning. You're handed off through a series of vertical processes and yet you, the human, you're the poor person who's supposed to hold the coherence of your narrative through all of it.

John Jantsch (13:17.774)

Thanks

John Jantsch (13:29.646)

You're right.

Marcus (13:30.012)

trying to remember all the details that matter when in fact you have no flipping idea what details really matter. And then we wonder why our healthcare outcomes are so poor relative to the amount of costs we put in. We've designed healthcare experiences that are fundamentally unloving because we haven't designed them as experiences. We haven't seen the human going through all of them. That's in healthcare, it's true in schools, it's true in restaurants and hospitality. And to your point, it's certainly true in the digital environment. We've designed for the wrong, well not the wrong thing,

But when you just design for process, you become blind to the actual holistic experience of the person and you drift. And then we wonder why we don't get any loyalty or we don't get any advocacy. We don't get usage. It's like we're humans are experienced feelers and our behavior is changed through the way in which we pick up what you put down in terms of an experience.

John Jantsch (14:17.198)

you

John Jantsch (14:23.692)

Yeah, yeah, yeah. Yeah, it's almost sometimes feels like, you know, friction, you're, you're designing for like, what's easy for us, you're almost automatically going to make it harder for the customer, right? Yeah. So let's, let's, I don't know if you're capable of doing this because every business is different, but let's, let's take one step in a typical customer journey, like onboarding a new customer.

Marcus (14:34.65)

Yes.

John Jantsch (14:47.574)

Again, that's another one that's typically done for efficiency sake. How would you design love into something like that? I know that's a random example, but give me a thought of how somebody would think about onboarding a new client having love in it.

Marcus (15:01.532)

So when you, this is gonna sound really weird, but love isn't a coating. It's not a, if you're leading lovingly, it doesn't mean that you're being nice, although you may be. There's no kumbaya, yeah. What you're trying to get to, if you think about something like onboarding, a customer or an employee, what you're trying to do is you're trying to have that onboarding process, do the work, a big part of the work of getting a customer to go, I love that, I love that, okay?

John Jantsch (15:12.214)

Yeah, so we're not going to there's no hugging going on yet, right?

John Jantsch (15:29.474)

Yeah, yeah, yeah.

Marcus (15:30.778)

So if you reverse engineer that, how do you get someone to that outcome where they actually would walk around with love in their heart, which I know sounds like a weird expression, but they're walking around with love in their heart. I love that. Not like it was fine. Not a four, not a three, but a five. I love that. Well, if you reverse engineer that, John, you bump into a sequence of five feelings, which are sequential. This is not mass loving. It's not hierarchical. It's sequential. that sequence of five is like a blueprint for your design process.

John Jantsch (15:42.413)

Yeah.

Marcus (15:59.6)

The first feeling is control. So if you imagine this, a person is trying to lean into an experience at which point, at the end of which they go, I love that. So the first feeling they're bumping into is control. I don't mean control over someone else. I mean, they want an answer to the question, what is this world and how do I work it? Anytime you are unclear about what this world is that I'm walking into, anytime you lack vividness about what's there in the world and how can I use it, I as a human, I lean out.

because I tend to go through life like all humans wrapped up like an armadillo, protected against the world. If you can show me what is this world and how do I work it, I take off one piece of armor. The next feeling is harmony. Basically, as I move into an experience, most experiences are emotional experiences first. So I need to have an answer to the question, does this experience know what I'm feeling and does it care? Have you designed any touch points that could communicate to me, I know what you're feeling,

And I care about it. Third feeling is significance. Every human being at some point in an experience wants that experience to know my story. Do you know my story and do you care? I don't want you to start that way. I want you to start with control. Tell me the rules. I don't mind the rules. Tell me the rules. But at some point, I want you to know, do you know who I am uniquely and does that then change anything about my experience? The fourth feeling is the warmth of others. Humans don't do well in experiences where they're isolated.

At some point they pop their little head above the parapet and they go, who is here to help me? Either as a person going through an experience together or as somebody on the company side of things who's helping to guide and navigate me. And then the last feeling is growth because love is a forward facing emotion. If you love someone, you never think they're finished. You are always aware they're going to have to wake up tomorrow and go and experience the world again. And so the last feeling answers the question, am I slightly more capable tomorrow than I was today?

Well, if you use those five feelings as your blueprint, you would start to design an onboarding experience incredibly intentionally so that you would deliberately in sequence cultivating those feelings. Now to your question, right? How you do that would depend upon the exact onboarding experience you were building. But what we need to give leaders is like, this is a blueprint for experience design to get to a place where a person's going to go. I love that.

John Jantsch (18:25.932)

Yeah.

Marcus (18:26.448)

Without the design, it's a bit hit and miss really in terms of what you're trying to create for people.

John Jantsch (18:29.677)

Yeah.

You know, as I listen to you describe those, I mean, that's, we were putting it in the context of onboarding, but frankly, you know, when somebody's out there looking for a new resource, you know, that's probably a process they go through, right? It's like, I want to know who's out there. I want to like them. I want to start to trust them. And it is sort of sequential, right? Before we're even going to pick up the phone or, you know, fill out a form.

Marcus (18:49.574)

Mm.

Marcus (18:56.24)

Yeah, well that sequence of feelings, mean, you're trying to, it's simply said, you're trying to just get people to say, love that. Whether you're trying to sell them something, whether you're trying to get them to join your community, whether you're trying to onboard them into a company like an employee process, that outcome is a very strong, super vivid human outcome.

John Jantsch (19:04.546)

Yeah. Yeah.

Marcus (19:20.656)

what we could do in every situation. Like if you were trying to design a sales process, you'd go, well, we should actually design it around those five feelings, control, harmony, significance, warmth of others, growth. If we could design a process, we wouldn't get it right perfectly every time. We wouldn't get every single, but we would at least be intentional about experience design. And we would see it as a person moving through that sequence of feelings. Well, gosh, if we could do that, we wouldn't feel like we do so often today,

Today we feel transactional. The world feels extractive. Leaders are directive, which put it another way. We're living in an increasingly unloving world. And what we know from everything to do with human psychology is humans don't flourish in an unloving world. And I think the data would suggest very strongly neither do businesses.

John Jantsch (19:52.952)

Mm-hmm. Yeah.

John Jantsch (20:13.176)

Yeah.

Marcus (20:13.742)

So if you really want a flourishing business where you've got a lot of customers or a lot of people walking around with love in their heart for your brand or your company, you got to design it in. And you'll only do that if you take love seriously, which frankly at present we don't.

John Jantsch (20:30.392)

You know, as I listened to you describe that, and given the state of the world that you just described as well, it sounds like it's also a very significant potential differentiator. Because if I'm not getting that in eight out of 10 places, the two places that are giving me that are probably really going to get my business.

Marcus (20:49.038)

No, that's a great point. It's a huge, I know this sounds really strange to say it because love should be a genuine intention toward another human being's flourishing. But that aside, it is a huge strategic advantage. Because if you've got a whole bunch of leaders who have experienced intelligence, who know how to intentionally try to design love into the experiences they make, then they will stand out because frankly, so many other companies, so many other organizations are loveless.

John Jantsch (20:55.95)

You're right.

Marcus (21:16.166)

where human beings who work there aren't even called human beings, they're called headcount or FTEs, full-time equivalents, or customers aren't a real human, they're their average basket size or their lifetime customer value. We have been reduced as humans to amoral elements of financial equations, which isn't terrible, it's just super uninspiring and not very intelligent. So for the best companies, they'll look at the current...

John Jantsch (21:16.29)

Yeah, yeah.

John Jantsch (21:27.52)

you

John Jantsch (21:41.315)

Yeah.

Marcus (21:44.348)

playing field, you will, John, go, yeah, we could, even if we began to think about how to design experiences that people would say that they love, we would be so materially different in the feelings that we would be creating in our people or in our customers. you know, it's not, experience intelligence is one of those strange capabilities that's easy to start, hard to master, fine, but easy to start. And as you said, if you did start,

John Jantsch (22:09.986)

Yeah.

Marcus (22:13.456)

Gosh, you'd stand out from the

John Jantsch (22:15.47)

Yeah, 100%. So Marcus Buckingham is the author of Design Love In, How to Unleash the Most Powerful Force in Business. I appreciate you taking a few moments to join us. Where would you invite people to connect with you or find out more about your work in Design Love In?

Marcus (22:31.568)

Well, rather unsurprisingly, if you go to designlovein.com, you can find everything to with the book there. We've also in partnership with Harvard Business Review, we created a discovery series for folks that ordered or pre-ordered the book that basically describes the 10 key discoveries underpinning it. So if you're interested in learning both from books or from video, go to designlovein and there's a whole discovery series for you and as well as everything that you might want to know about the book itself.

John Jantsch (22:56.174)

Well again, I appreciate you spending a few moments with us. Hopefully we'll run into you one of these days out there on the road.

Marcus (23:01.84)

I'd love that.



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