Adding Ikegai to WhyFinder

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Hi All,

Last week Navaneeth walked me through how he plans to expand WhyFinder by adding the Ikegai framework.

Below is a recording of our conversation followed by an AI powered summary of what we discussed.

Will post future updates here as well. Questions, comments, concerns and ideas welcome as always, just hit the reply button.

Thanks
Dave

Recording:

AI Powered Summary:

Here’s a tight overview of the Ikigai portion (spelled “Ikigai”):

  • Why Western Ikigai: Chosen for English clarity; Japanese concepts don’t translate cleanly. Uses a simple four-circle set/Venn model.

  • Four components:

    1. What you love
    2. What you’re good at
    3. What the world needs
    4. What you can be paid for

  • Current coverage: WhyFinder already captures ~80% of love + good at (energy mapping, stories, emotional peaks). Need to finish remaining 20% and add the other two components.

  • Overlaps defined:

    • Passion: Love ∩ Good at
    • Mission: Love ∩ World needs
    • Vocation: World needs ∩ Paid for
    • Profession: Good at ∩ Paid for

  • System design:

    • Responder asks short, contextual questions (not bland or verbatim).
    • Quality Checker ensures enough info before advancing phases.
    • Base constraints: No prescribing specific jobs/companies/life decisions; reflect patterns neutrally.
    • Stochastic decision helper later uses the profiles to guide (not dictate) choices.

  • Phased questioning: Four phases aligned to each component, seeded from a question bank (e.g., “20 questions…”), paraphrased to fit context.

  • Outputs:

    • Ikigai Profile (curated statements for each of the four sets).
    • Overlap Profile (Passion/Mission/Vocation/Profession).

  • User flow: Finish WhyFinder → Why statement → prompt to continue into Ikigai; proceed through phases; build profiles; then use the decision helper.

  • Positioning: Ikigai is an extension, not a replacement for WhyFinder—deeper, post-Why experience.