
586: Is this the future of JTBD? – with Mike Boysen
An outcome-driven innovation perspective on Jobs-to-be-Done
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TLDR
In this episode of Product Mastery Now, I’m talking with innovation veteran Mike Boysen about making Jobs-to-be-Done (JTBD) practical, fast, and accessible thanks to AI-powered tools and frameworks. We revisit what JTBD really means, how it has evolved, why practitioners sometimes get stuck, and how AI helps drive cost-efficient, actionable customer insights. This episode is perfect for product managers looking to skip the noise and deliver genuine value efficiently.
Introduction
Most product leaders have heard of Jobs-to-be-Done (JTBD). Some of you have even tried it. But given all the benefits of JTBD, why are you not still using it? In this discussion, we are going back to basics to define what Jobs-to-be-Done actually is, and we are going to show you how to execute it faster than ever before. You will learn a simplified workflow for applying Jobs-to-be-Done that cuts through the noise. We will walk through how AI accelerates the process, so you can stop guessing and start building what customers actually need.
Our guest is Mike Boysen, Managing Director of Disruptive Innovation. Mike is a veteran of the JTBD movement, having served as a Director at Strategyn alongside Tony Ulwick. He has spent years in senior consulting and innovation roles, and today he helps companies use AI to make Jobs to be Done practical, accessible, and fast.
Summary of Concepts Discussed for Product Managers
What is Jobs-to-be-Done?
Mike clarifies the confusion around JTBD by outlining the various schools of thought, including marketing-based frameworks. Mike’s perspective on JTBD focuses on outcome-driven innovation (ODI). Within this framework, product managers seek to understand the outcome the customer is seeking. Unlike other schools of thought, ODI values disruption and looking outside the current paradigm.
Why JTBD Efforts Fail:
Many teams attempting JTBD get stuck at some point. Mike explains that without clear problem definitions and rigorous, hypothesis-driven models, JTBD research can become aimless. Especially in ODI, biases early in the process can compound, making outcomes hard to take action on.
Three Paths to Innovation:
Mike describes three approaches organizations can take to innovation: expanding to new personas/markets, sustaining and improving what exists, and pursuing disruptive, paradigm-shifting innovation. He notes the power of focusing on the job beneficiary, especially for B2B innovation.
How AI Transforms JTBD:
Mike’s workflow leverages AI to break down ideas, solutions, and industries to first principles, uncovering fundamental truths and mapping out the jobs, metrics, and outcomes efficiently. This approach massively reduces the time and cost of qualitative JTBD, making it accessible to companies of all sizes, not just the Fortune 500.
No More JTBD Surveys?
Mike argues that expensive, time-consuming JTBD surveys are often unnecessary, especially for greenfield or disruptive innovations. Instead, AI-driven job maps, first-principle analyses, and hypothesis-validation interviews quickly reveal which opportunities are worth deeper investment, saving time, money, and effort.
Job Maps, Metrics, and Practical Tools:
Mike explains that AI can generate job maps in minutes rather than weeks. These tools provide clarity for product teams, showing value, friction, or overservice in the customer journey.
Useful Link
- Check out Mike’s Substack
Innovation Quote
“Spend the least to learn the most.” – Mike Boysen
Application Questions
- How would you describe the job your product is hired to do?
- What biases or limiting beliefs might be holding your team back from re-imagining your product or process?
- Are there opportunities to use smaller, hypothesis-driven experiments rather than expensive or time-consuming surveys?
- How could AI tools streamline and focus your JTBD or customer discovery efforts?
- If you created a job map for one core customer outcome, what would the steps and frictions look like?
Bio
For over 25 years, Mike Boysen drove CRM strategy and digital transformation for Fortune 50 enterprises, earning top analyst recognition as a thought leader in the space. However, after observing the expensive failures of traditional innovation, his relentless search for “why” prompted a transition from CRM strategist to an Innovation Engineer. Today, as a leading expert in Jobs-to-be-Done (JTBD), Mike challenges industry “sacred cows” by employing a capital-efficient, deterministic methodology to uncover exactly what customers want. His engineering approach rests on three core pillars: applying First Principles Thinking to distill a problem down to its indivisible physical, digital, or economic truth to eliminate human bias; mapping the exact human executor’s 9-step chronological struggle using AI-powered tools to generate solution-agnostic Customer Success Statements (CSS) tied directly to those atomic truths; and executing Real Options Analysis to reframe innovation funding into a staged process of buying information. Through this rigorous framework, Mike provides organizations with the exact blueprints required to stop “solution-jumping” and start building disruptive, defensible products with speed and predictability.
Thanks!
Thank you for taking the journey to product mastery and learning with me from the successes and failures of product innovators, managers, and developers. If you enjoyed the discussion, help out a fellow product manager by sharing it using the social media buttons you see below.
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