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Playbook · Early fit

Early fit × Start

Put every new user on the path retained users took, and give a win in the first session. Mine the Habit Path, credit real progress, and ask for investment only after the first win.

M2 ×Start4 lead moves1 variant
M2 Early fit
How do we put every new user on the path that retained users took?
Start
Do new users reach their first big win fast, and feel smart doing it?

M2 × Start

The playbook

Goal. Every new user reaches the first major win fast, makes a first investment and enters the Habit Path. This is the default binding cell at Early fit.

Diagnose. Setup, aha and habit moments (per account for team products); time to the first win (median and slowest 10%); behavior triage at the worst step, naming its scarcest resource; whether investment is asked before the reward HK-INV01 (Hooked Ch.5); the habit-predictive action HK-ACT21 (Hooked Ch.3).

Moves. Steer onboarding to what retained users did early HK-T13 (Hooked Ch.3); endowed progress that credits real steps HK-ACT32 (Hooked Ch.3); a first-use mini-hook with investment after the win HK-INV19 (Hooked Ch.5); one obvious next action and 2-3 starting options GT#28 (Actionable Gamification Ch.11, p.293); templates first GT#43 (Actionable Gamification Ch.8, p.181); the user's own goal, shown back INF-T-CC-09 (Influence Ch.3, p.58); permission asked right after first value HK-TRG11 (Hooked Ch.2); a day-1 follow-up for users who miss HK-TRG33 (Hooked Ch.7); an if-then prompt with a time picker.

Exit. Activation and time to value at target, with week 1-2 retention of the treated cohort up.

KPIs. Activation rate (primary); step completion, first-session investment, day-2 return (diagnostic); week-2 retention of the treated cohort (guardrail: don't activate users who then leave).

Lead with these moves

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

    Steer new users down the Habit Path

    make the action that predicts retention the easy path

    Find the early action that predicts who stays, confirm it with a test, then make it the easiest thing to do in onboarding. The easiest action is not always the habit-forming one: on one network, searching was the likeliest first step, but following accounts built the habit.

  • TechniqueEvidence grade B. Moderate evidence: solid studies with some limits.

    Endowed progress that credits real steps

    a head start you actually earned

    Start new users partway along a setup checklist by crediting things they have really done (account created, email confirmed), show the single next step, and make each step deliver value to the user, not just data to the company.

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

    Ask for investment right after the reward

    ask for effort after value

    Move asks for effort (save, rate, add your role, connect a tool) from before the first result to right after it, when users have just received something and are most willing to give back.

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

    First use as a complete mini-hook

    learn-by-doing first session

    Make the first session a full small loop: a clear instruction, an easy action, a real win with a moment of celebration, then one small investment that sets up the next visit, such as connecting a calendar or saving a first item.

Also in season

Not now

  • Points, badges or streaksFirst steer new users onto the path your retained users took.
  • Annual-plan discountsLocking people in before the habit forms just delays the churn.
  • Scale paid acquisition while activation leaksFix the setup leak first: new paid users would hit the same broken first session.
  • Near-peer leagues (leaderboards)Leaderboards need a dense community to feel fair.
  • Hard paywall before the habitA paywall before the habit converts some and loses the rest.

How to measure it

Questions to answer first

  1. What did your most habitual users do in their first two weeks that others didn't?
  2. Where is the first big win for a new user, and how long does it take to get there (typical user and the slowest 10%)?
  3. Which onboarding step loses the largest share of the users who reach it, and what does it ask of them?
  4. At the step where most users drop, what is scarcest for them: time, money, physical effort, brain cycles, social acceptability, or a break from routine?
  5. Does every ask for effort (setup, data, invites) come after the user got something valuable, or before?
  6. Does a new user put something in (a preference, a first item, a follow) during the first session, right after the first win?
  7. Does your progress bar or checklist start partly filled by counting real things the user already did?
  8. When exactly do you ask for an email, push permission or an install? Before the first value, or right after it?
  9. Do you ask new users when and where they'll do the core action, and remind them at that moment?
  10. Do your reminders reach the people whose response makes the product valuable, or only the person who set it up?

Cases at this stage

  • Canva · 2025

    Canva: instant competence, templates first

    About 265M monthly active users at the end of 2025 (up from 180M a year earlier) and 31M+ paid users, per analyst firm Sacra; Canva's own 2025 recap reported about $3.5B in revenue. Many causes; the link to templates-first onboarding is our inference.

    M3 ×Start
    Case grade for the number: C. Evidence grade for the mechanism link: D.Analyst inferenceCorrelational

  • 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

Variant · B2B SaaS

Early fit × Start · Self-serve B2B

For team products, activation happens per account: the admin's first win, then the teammates whose participation is the reward. Import what exists, generate a useful draft, invite teammates after the first win, and remind the people whose responses matter.

Goal. New accounts reach the setup, aha and habit moments as a team, not just one admin.

Moves. Import what already exists (a CSV, an integration) instead of manual setup GT#85 (Actionable Gamification Ch.12, p.330); generate a useful first draft from templates GT#43 (Actionable Gamification Ch.8, p.181); send the first value to teammates, so normal use recruits them HK-TRG08 (Hooked Ch.2); ask for rules and preferences only after the first win HK-INV01 (Hooked Ch.5).

Read it right. Define activation per account. Self-serve B2B steps often see too few new accounts a week for an A/B test, so bundle the changes and read them with the low-traffic loop.

Lead with these moves

Also in season

Not now

  • Points, badges or streaksFirst steer new users onto the path your retained users took.
  • Annual-plan discountsLocking people in before the habit forms just delays the churn.
  • Scale paid acquisition while activation leaksFix the setup leak first: new paid users would hit the same broken first session.
  • Step-funnel A/B testsToo few sign-ups to read step tests yet.

How to measure it

Questions to answer first

  1. How many teammates have to join before the product really works, and when do you ask the person who signed up to invite them?
  2. What must happen before a new user sees value, what is the moment they first get it, and what pattern shows the habit has formed? Per user or per team?
  3. Where is the first big win for a new user, and how long does it take to get there (typical user and the slowest 10%)?
  4. Do your reminders reach the people whose response makes the product valuable, or only the person who set it up?
  5. Do you ask new users to invite others or contribute something before they've had their first wow moment?
  6. Does every ask for effort (setup, data, invites) come after the user got something valuable, or before?
  7. Which onboarding step loses the largest share of the users who reach it, and what does it ask of them?
  8. What did your most habitual users do in their first two weeks that others didn't?
  9. About how many sign-ups (or orders) do you get a week, and how many of them reach the step you most want to improve?

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
  • The evidence is correlational until it is tested in your product.
  • 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

  • Hooked · Nir Eyal

    Ch.8 · Ch.5 · Ch.3 · Ch.2

  • Influence · Robert Cialdini

    Ch.3, p.58

  • Actionable Gamification · Yu-kai Chou

    Ch.8, p.181 · Ch.11, p.293 · Ch.12, p.330

  • Define user activation moments · Reforge (Casey Winters and Shaun Clowes)

    Benchmark confidence B. A reputable dataset.

Source IDs: HK-T13HK-ACT32HK-INV01HK-INV19HK-ACT21GT#43GT#28INF-T-CC-09HK-TRG11HK-TRG08GT#85

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

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