Ikigai

Working title: Ikigai Compass — a web app that helps people find personal direction through a combination of self-reflection, micro-experiments, and ongoing evaluation.

Why it has potential

People are not just looking for a “personality test,” but for a structured way to clarify direction, make better decisions, and keep returning to what gives them meaning; that is exactly what current purpose / mentoring / ikigai apps are built on. A major advantage is that this is not a one-time output, but repeated use through daily reflection, tracking, and small action steps, which supports retention and a subscription model.

Target audience

Primary user: people aged 22–40 who are dealing with direction in work and life, are unhappy with their current setup, but do not want therapy or a pure productivity tool. Secondary segment: freelancers, career switchers, creatives, and people after burnout or in a life transition; they respond well to a combination of journaling, AI questions, and concrete experiments instead of abstract advice.

Positioning

Positioning: “Not a psych test. Not a coaching marketplace. A practical personal compass between meaning, skills, and real life.” The difference from typical ikigai apps can be that it does not just sell a Venn diagram, but turns reflection into action steps, weekly experiments, and a scored sense of energy, meaning, and usefulness.

Functional section

1. Product goal

The user should get an initial map of possible ikigai directions within 15–30 minutes and then test them in practice over the following weeks.

2. Core promise

The app will help:

• clarify what draws a person in,

• name their strengths,

• connect that with real usefulness and income,

• turn it into small real-world tests,

• track what works over the long term.

3. Main user flow

1. Onboarding: short setup of goals, life situation, and areas of uncertainty.

2. Reflection: a set of questions divided into 4 areas — what I love, what I’m good at, what is useful, what can have economic value.

3. Synthesis: the system extracts recurring themes, clusters, and possible directions.

4. Direction suggestions: the user gets 3–5 “ikigai drafts.”

5. Experiments: for each direction, the app suggests a mini test for 3–7 days.

6. Review: after the experiment, the user rates energy, joy, flow, usefulness, and willingness to continue.

7. Iteration: the system recommends what to strengthen, discard, or further develop.

4. Key modules

• Onboarding profile.

• Guided reflection engine.

• Ikigai canvas / map.

• AI summary and pattern detection.

• Experiment planner.

• Daily / weekly journal.

• Progress dashboard.

• History of personal direction versions.

5. Data objects

• User

• LifeArea

• ReflectionAnswer

• Strength

• Value

• Interest

• Opportunity

• IkigaiDirection

• Experiment

• ExperimentReview

• JournalEntry

• WeeklyCheckin

MVP scope

The MVP should be small and usable, not “AI everything.” The best first version is without complex community features and without heavy gamification.

MVP must-have

• Registration / guest mode.

• Onboarding questionnaire.

• 4 reflection sections.

• Automatic summary of answers into 3 direction suggestions.

• Creation of 1 experiment for each direction.

• Daily check-in: energy, joy, meaning, usefulness.

• Results overview after 7 days.

• Export of the result to PDF / shareable summary.

Growth layer above the MVP

• AI follow-up questions.

• Longer journaling.

• Reminder system.

• Library of experiment templates.

• Personalized weekly review.

• Voice input.

• Mobile PWA.

• Coach / therapist / mentor mode.

Retention section

Retention will not be based on a one-time “I found my ikigai,” but on the repeated feeling that my direction is becoming clearer and the app remembers my progress. The best retention mechanisms are a short daily reflection, weekly review, history of changes, and follow-up experiments, because they give people a reason to return without a big time commitment.

Retention loops

• Daily check-in → more data → better recommendations.

• Weekly review → new experiment → another return.

• Better personal profile → more accurate AI summary.

• History of progress → emotional investment from the user.

Growth section

Content-led distribution works well for this product, because the topic of meaning, direction, career change, and self-discovery has strong organic reach. Reddit and social posts already show that “ikigai app” is a shareable hook.

Acquisition channels

• SEO content: ikigai, purpose, career direction, quarter-life crisis, career change.

• Short videos: “find your direction in 10 minutes.”

• Shareable results: personal map, top themes, experiment plan.

• Free lead magnet: PDF workbook or 7-day challenge.

• Partnerships with coaches / creators in the self-improvement niche.

Growth loops

• User completes the map → shares the output → brings in more people.

• Content about meaning questions → organic traffic → free test → sign-up.

• Free workbook / template → email list → upsell into the app.

• AI report → strong aha moment → higher referral and conversion.

Monetization section

The most suitable monetization is freemium + subscription, because value is created continuously, not just once.

Monetization model

• Free: basic reflection + 1 ikigai map + 1 experiment.

• Premium monthly/yearly:

  • unlimited journaling entries,

  • AI summaries and follow-up questions,

  • personalized experiments,

  • weekly review,

  • history of progress,

  • exports and advanced reports.

• B2B / Pro:

  • version for coaches,

  • client work,

  • white-label workbook / dashboard.

Best monetization options

• Fastest MVP: one-time lifetime deal.

• Best for growth: free + paywall after the first aha moment.

• Best for long-term revenue: annual subscription + content funnel.

• Best for higher ARPU: coach / counselor toolkit.

Strategic advantage

The strong advantage is the combination of 3 layers: reflection, action, and evaluation. A lot of competitors stop at journaling or generic AI mentoring, but fewer products turn personal direction into testable micro-experiments and a repeated decision-making system.

Technical brief

Recommended stack

• Frontend: Next.js or React SPA.

• UI: Tailwind / shadcn or a custom design system.

• Backend: Supabase / Firebase / Node API.

• Auth: email + Google.

• DB: Postgres.

• AI layer: LLM for summarization, theme clustering, generating follow-up questions and experiments.

• Analytics: PostHog / Plausible.

• Payments: Stripe.

Main screens

• Landing page.

• Onboarding.

• Reflection flow.

• Ikigai map result.

• Direction detail.

• Experiment setup.

• Daily check-in.

• Weekly review.

• Profile / history.

• Billing.

Functional requirements

• Answers are saved continuously.

• The user can pause the flow at any time and return later.

• The system generates summaries from text answers.

• Directions have confidence / energy / practicality scores.

• Each direction can be turned into an experiment.

• The dashboard shows trends in answers and results.

• The app must work well on mobile too.

Non-functional requirements

• Fast onboarding within 10 minutes.

• Clear UX without overload.

• Privacy and careful handling of personal data.

• Explain that this is not therapy or medical advice.

• Ready for localization.

UX principles

• Let users write both briefly and at length.

• Guide them in small steps, not through a long form.

• The output must be concrete, not esoteric.

• Each screen has one main goal.

• After every aha moment, offer the next action.

Roadmap

Phase 1

• Landing.

• MVP reflection flow.

• 3 direction suggestions.

• 7-day experiment.

• Basic paywall.

Phase 2

• AI follow-up.

• Better scoring.

• Weekly review.

• Email reminders.

• Shareable reports.

Phase 3

• PWA / mobile app.

• Voice journaling.

• Coach dashboard.

• Community / anonymous pattern library.

• Team / career use case.

Risks

The main risk is that it becomes just a nice questionnaire without real transformation; that lowers retention. The second risk is overly generic AI output, so it is necessary to test quickly whether the user really feels after the first result that “this fits me,” and whether they return to the experiments and check-ins.

What to test first

1. Whether people complete onboarding.

2. Whether the output is strong enough for registration or payment.

3. Whether they return on day 3 and day 7.

4. Whether AI summaries are more valuable than the experiment planner.

5. Whether the hook works better as “find your purpose” or “find your next direction.”

Brief for the developer

Build a web app for self-discovery and direction planning based on the ikigai principle. The user goes through onboarding, answers a series of reflection questions in 4 areas, the system turns their answers into 3–5 directions and scores them by energy, strengths, usefulness, and practical feasibility, and then offers a small experiment and ongoing check-ins for each direction. The MVP must include onboarding, a reflection flow, a results screen, an experiment planner, daily check-ins, weekly review, and a basic payment layer. The product should be designed as a freemium subscription tool with an emphasis on retention, shareable outputs, and content-driven acquisition.