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Playbook · Mature to Stalled / declining

Mature and Stalled × Stay

Build an endgame that renews itself: creation and user content, veteran roles as mentors, hosts and curators, visible personalization, a content pipeline for finite products, and anniversaries designed as peaks.

M4-M5 ×Stay5 lead moves
M4 Mature
Can we deepen and protect the habit?
M5 Stalled / declining
Is this a discovery collapse, an endgame collapse or novelty decay?
Stay
Why do veterans stay when a competitor copies the features?

M4-M5 × Stay

The playbook

Goal. Reasons to stay that a competitor with the same features can't copy.

Diagnose. What veterans do in year two; stored value by decile against churn; novelty decay; shrinking veteran sessions (boredom hotspots OCT-M22 (Actionable Gamification Ch.15, p.416)).

Moves. Evergreen creation and user content HK-RWD35 (Hooked Ch.4); veteran roles such as mentor, host and curator GT#61 (Actionable Gamification Ch.9, p.196); perks tied to the motivations veterans show OCT-M24 (Actionable Gamification Ch.17, p.472); visible personalization GT#83 (Actionable Gamification Ch.8, p.190); a content pipeline for finite products HK-RWD36 (Hooked Ch.4); a yearly identity artifact CASE-M07 (Spotify says Wrapped 2025 is its biggest yet, with 200M users in its first day, TechCrunch, 2025); anniversaries designed as peaks; loyalty rewarded before defection.

Exit. A stable or rising month 6-24 plateau, current-user retention up, and a rising share of creators and mentors.

Guardrail. A want-to versus have-to pulse on retention quality.

Lead with these moves

  • TechniqueEvidence grade D. Practitioner framework or anecdote: plausible, untested.

    Evergreen creation for veterans

    user creativity that renews the experience

    Give veterans tools to create, combine and share, so their creativity keeps producing new experiences without the team shipping endless content. Chou ties the early fade of most games to missing Endgame design, and names creative, strategic systems as the main remedy.

  • TechniqueEvidence grade D. Practitioner framework or anecdote: plausible, untested.

    Get variety from people and creation

    variety that renews itself

    Products whose novelty comes from other people and from what users create stay fresh; products whose content can be finished become predictable. Add co-creation, community galleries, shared spaces or user templates so the next visit is never fully known.

  • TechniqueEvidence grade D. Practitioner framework or anecdote: plausible, untested.

    Mentorship as a veteran role (GT#61)

    veterans who guide newcomers

    Give experienced users a recognized role helping newcomers: an 'available to mentor' switch, a chat for how-to questions and a hand-off to staff. Chou presents it as a fix for the neglected Endgame, because veterans get to show earned status, and as cheaper support.

  • TechniqueEvidence grade D. Practitioner framework or anecdote: plausible, untested.

    Alfred Effect (GT#83)

    visible personalization

    Personalization so well fitted to a user that switching feels unthinkable, even when a rival is better or cheaper. Chou stresses making it noticeable: many users never realize a product has learned them before they churn.

  • TechniqueEvidence grade C. Limited evidence: few or small studies.

    Run a release pipeline that outpaces consumption

    release calendar against fading novelty

    If your variety can be used up, track how engagement fades with cohort age and run a release pipeline faster than users consume it. Check that each release adds a new source of variety, not just a new theme on the old one.

Also in season

Not now

  • Extra scarcity on an engaged baseScarcity on a base that is already engaged adds pressure, not value, and wears off fast.
  • Content re-skinsA new coat of paint fades faster than the content it covers.
  • Urgency and loss pushes on a tired basePressure on a tired base speeds up the exits it is meant to stop.
  • Retention through fear of losing historyRetention held by fear of loss tends to end in relieved exits; make staying wanted instead.

How to measure it

Questions to answer first

  1. What do your longest-standing users do in their second year? Is there anything new for them to do?
  2. What can your veterans create, teach, curate or help run?
  3. Compared with six months ago, are your veterans' sessions shorter or less frequent?
  4. Why do veterans stay: because of what they create and who they're with, or mainly because leaving would cost them?
  5. Do loyal users get offers at least as good as the ones you give people who try to cancel?
  6. Do users who have built up more (content, history, connections, reputation) churn less? Compare churn across ten equal groups.
  7. Of users active yesterday who were also active the week before, what share are active today? And what share of this month's actives came back after 30+ days away?
  8. Would your regular users say they want to use the product, or that they have to?

Cases at this stage

  • Spotify · 2025

    Round

    Spotify Wrapped: identity as a reward

    200M+ engaged users in the first 24 hours of Wrapped 2025, 19% more than 2024 (which took 62 hours to reach 200M), and 500M+ shares, up 41% (Spotify, via TechCrunch, Dec 4, 2025). Company-reported.

    M4 ×ReturnSpread
    Case grade for the number: B. Evidence grade for the mechanism link: D.Analyst inferenceCompany-reported

  • Notion · 2024

    Notion: templates as investment and community

    51M template duplications by nearly 11M people in one year; the gallery grew from about 600 to 5,000+ templates, with 2,000+ creator profiles (Notion blog, 2024). Company-reported; effects on activation or retention were not published.

    M4 ×StartStay
    Case grade for the number: B. Evidence grade for the mechanism link: D.Analyst inferenceCorrelational

  • Figma · 2025

    Figma Community: remix culture

    250,000+ Community resources, including 10,000+ plugins and widgets, and about 450k paid customers as of March 31, 2025 (Figma S-1, 2025). The link from Community to growth is our inference [Analyst; many causes].

    M4 ×StaySpread
    Case grade for the number: A. Evidence grade for the mechanism link: D.Analyst inferenceCorrelational

Limits

What we don’t claim

  • The Hook Model is a practical design tool, not a validated or complete theory of behavior.Hooked, Introduction
  • Octalysis is a practitioner framework built from observing games, not a validated scientific model.Actionable Gamification Ch.15, pp.399-400
  • Seasons are defaults for the cell. Evidence from your own product can move a technique in or out of season.
  • A playbook names candidate moves; which one goes first depends on the binding constraint in your product.

Sources

Source IDs: HK-RWD35GT#61GT#83HK-RWD36HK-MON11GT#64OCT-M24OCT-M22CASE-M07

Book content is paraphrased, never quoted at length. Last verified October 24, 2026.

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