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  • Episode 76: Cynefin, Complexity and Design with Kyle Godbey
    1 時間
  • Episode 75: The Critical Role of Tacit Knowledge in Product with William Bartlett
    2024/12/03

    We continue our discussion with software engineer and agile coach William Bartlett.

    Last time we spoke, in episode 68, we discussed William's journey from waterfall to agile. We discussed the many potential benefits of taking an agile approach when it is done well, but also the difficulty many teams face in making it work for them, even when they are serious about making it work.

    William argued that the issue goes deeper than a simple problem of mindset and that it has to do with how to teach and learn tacit knowledge.

    In this episode we dive deeper into the topic of tacit knowledge and how it plays a role in design and innovation more generally, beyond just the teaching of agile concepts,. We will be discussing 4E cognition, gibsonian ecological psychology and Cynevin.

    Topics touched upon:

    Can tacit knowledge be taught?

    Why is tacit knowledge an important part of innovation?

    4E cognition

    Nassim Taleb’s concept of antifragility

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    1 時間 9 分
  • Episode 74: JTBD in Product and Design with Chris Belmore
    2024/11/11

    Today we want to explore how Jobs-to-be-done thinking is used in Product Design with our guest Chris Belmore. Chris is Director of Product Design at On the Beach – an online travel agent. He was Director of Product Design at the Financial Times, where he and Yann met and has long time agency experience, amongst others at Ostmodern – a digital product agency – as a research and design leader before he moved to the corporate dark side…

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    1 時間 3 分
  • Episode 73: The Bonfire Moment with Martin Gonzalez
    2024/11/04

    Today we will dive into one of the biggest problems that startups face – and I would expand this to teams in general –: each other! We are joined by Martin Gonzalez one of the authors of the book The Bonfire Moment that we will focus on today. Martin created Google’s Effective Founders program and Josh is a cofounder of the Google for Startups Accelerator. They both have impressive careers, and I will just pick a few highlights. In 2023 for example the Aspen institute recognized Martin as a First Movers Fellow, and this year he won the Thinkers50 Radar Award. He worked at BCG and Johnsons & Johnson before Google.

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    52 分
  • Episode 72: Jobs-to-be-done with Jeff Baker
    2024/10/07

    Today, we welcome Jeff Baker. Jeff is president of IGI Group Consulting; standing for Insight for Growth & Innovation. a firm that uses Jobs-to-be-Done and research methods to help firms grow and thrive.

    Jeff and I worked together, years ago, when we both worked for Strategyn - which is ground zero for Outcome-Driven Innovation, a proven system for applied JTBD. He’s been a steady contributor to the world of JTBD for quite a few years now.

    Jeff: It’s great to reconnect and I know that we have a lot to talk about.: Welcome to the Product Quest Podcast!

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    1 時間 24 分
  • Episode 71: Pam Henderson interviews the PQP team about Jobs-to-be-done
    2024/09/09

    In this episde we hand over the mic to Pam Henderson an let her interview us about Jobs-to-be-done.

    Pam is an entrepreneur, professor, and founder and CEO of NewEdge, a growth strategy firm that anchors growth in “opportunity” also, she’s the author of a book with an intriguing title, “Killing Ideas: You can kill an idea, you can’t kill an opportunity. .

    Today, we’re passing the interviewer role to Pam - while Yann, Jonathan and I will be the guests - and our topic is a show favorite - JTBD.

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    1 時間 11 分
  • Episode 70: Difficult outcome statements in Jobs-to-be-done, part 2
    2024/08/19

    Today, we have an extra special episode as we welcome two superheroes of Jobs-to-be-done and we plan to get into the weeds.

    First, Dr. Lance Bettencourt. Lance is widely published, and all practitioners should know his work, most notably with MIT Sloan Review and Harvard Business Review. All should know his HBR article “The Customer-Centered Innovation Map,” where Lance and Tony Ulwick first described the job map… He also has extensive experience as a consultant, doing JTBD projects across many industries, and today is a Professor of Professional Practice at TCU.

    Next, Eric Eskey. If you look at the most experienced JTBD practitioners worldwide, Eric is among the top few. You cannot name an industry that he hasn’t worked within. He’s not only a pro at framing and executing qualitative projects, but Eric is a data analysis wizard in the most practical sense, meaning that he can make data come alive in pictures, he helps others to see the story.

    I’ve personally worked with both Lance and Eric as well, both with Tony Ulwick’s firm Strategyn as well as afterwards. But more important than all that, they’re both great dudes who I’m proud to call friends.

    Lance and Eric, Welcome to the Product Quest Podcast!

    Today, we’re talking shop, as in JTBD-practitioner shop.

    We’re going to be talking about challenges when converting customer needs into an “outcome statement.” When we say “outcome,” we’re referring to a customer-need as defined by Tony Ulwick’s Outcome-Driven innovation.

    An outcome is a metric that a customer uses to define how well a job is done. For example, if mowing the lawn, we’ll work with customers to get a list of outcomes such as:

    • Minimize the frequency of grass clumps
    • Minimize the time to mow the lawn
    • Minimize the amount of uncut grass next to obstacles

    Etc.

    In practice, a moderator interviews customers to uncover outcomes… and we run across some situations that are a bit tricky. Today, we have a list of six challenges in which our experts are going to help us out.

    I will lay out the challenges, but then we’ll all participate as we figure these out together.

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    56 分
  • Episode 69: Difficult Outcome statements in Jobs-to-be-done, part 1
    2024/08/12

    Today, we have an extra special episode as we welcome two superheroes of Jobs-to-be-done and we plan to get into the weeds.

    First, Dr. Lance Bettencourt. Lance is widely published, and all practitioners should know his work, most notably with MIT Sloan Review and Harvard Business Review. All should know his HBR article “The Customer-Centered Innovation Map,” where Lance and Tony Ulwick first described the job map… He also has extensive experience as a consultant, doing JTBD projects across many industries, and today is a Professor of Professional Practice at TCU.

    Next, Eric Eskey. If you look at the most experienced JTBD practitioners worldwide, Eric is among the top few. You cannot name an industry that he hasn’t worked within. He’s not only a pro at framing and executing qualitative projects, but Eric is a data analysis wizard in the most practical sense, meaning that he can make data come alive in pictures, he helps others to see the story.

    I’ve personally worked with both Lance and Eric as well, both with Tony Ulwick’s firm Strategyn as well as afterwards. But more important than all that, they’re both great dudes who I’m proud to call friends.

    Lance and Eric, Welcome to the Product Quest Podcast!

    Today, we’re talking shop, as in JTBD-practitioner shop.

    We’re going to be talking about challenges when converting customer needs into an “outcome statement.” When we say “outcome,” we’re referring to a customer-need as defined by Tony Ulwick’s Outcome-Driven innovation.

    An outcome is a metric that a customer uses to define how well a job is done. For example, if mowing the lawn, we’ll work with customers to get a list of outcomes such as:

    • Minimize the frequency of grass clumps
    • Minimize the time to mow the lawn
    • Minimize the amount of uncut grass next to obstacles

    Etc.

    In practice, a moderator interviews customers to uncover outcomes… and we run across some situations that are a bit tricky. Today, we have a list of six challenges in which our experts are going to help us out.

    I will lay out the challenges, but then we’ll all participate as we figure these out together.

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    1 時間 4 分