Technique · Hooked

Steer new users down the Habit 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.

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Plain label: make the action that predicts retention the easy pathAlso known as: Habit Path, aha moment, activation threshold, habit-predictive action, setup moment, onboarding redesign

How it works

Users who form a habit tend to share a few early steps that put value into the product, such as following people or connecting data. Raising the share of new users who reach that threshold should raise retention, but only if the step creates the value rather than marking users who were already motivated.

Evidence warning

Forcing a threshold step (for example, mass invites) can raise the metric without the value behind it.

What the research says

A team-chat company reported that 93% of teams past about 2,000 messages kept using it (founder claim, correlational).
CASE-M14 (company-reported)

Before you start

Measurement readiness L3 or higher.
A candidate early action mined from habitual vs churned users

How to build it

B2B: Make the threshold step part of setup with visible progress, such as inviting the first teammate or connecting the first data source.
Mobile: Pre-select suggested people or topics on the first screen so reaching the threshold takes one tap; offer the app after first value on web.
Web: Annotate releases on cohort charts and A/B test onboarding variants that emphasize the path step.
E-commerce: If repeat buyers share a first-week action such as saving a list, prompt it on the order confirmation page.

What can go wrong

Skipping the causal test and steering everyone to a correlate.
Stuffing every candidate action into onboarding.

Pairs well with

Codify first to find the candidate.
Credit real steps toward the threshold with endowed progress.

In practice

Where it shows up

Facebook (Meta) · 2016
Round
Facebook: 7 friends in 10 days
“7 friends in 10 days” as Facebook's activation milestone, per growth leader Chamath Palihapitiya's public talk and repeated by Index Ventures (Nov 28, 2016). Correlational; the exact derivation was never published. Reforge frames it as a setup threshold whose aha moment is an interesting feed.
M2-M3 ×Start
Case grade for the number: C. Evidence grade for the mechanism link: B.CorrelationalPress-reported
Slack · 2015
Round
Slack: the 2,000-message threshold
About 93% of teams past 2,000 messages were still using Slack, per co-founder Stewart Butterfield (First Round Review interview, Feb 27, 2015). No underlying data was published; correlational. It is not a paid-conversion figure.
M2 ×Start
Case grade for the number: B. Evidence grade for the mechanism link: B.CorrelationalCompany-reported
Twitter (now X) · 2017
Round
Twitter: follow about 30 accounts
Users who followed about 30 accounts became long-term active users, per Twitter's Josh Elman (Hacking Growth excerpt, Apr 25, 2017; also in Hooked, Ch8). Correlational; a variant of 5-10 follows on day one circulates secondhand. Twitter was renamed X in 2023.
M2 ×Start
Case grade for the number: B. Evidence grade for the mechanism link: B.CorrelationalCompany-reported

Limits

What we don’t claim

The Hook Model is a practical design tool, not a validated or complete theory of behavior.Hooked, Introduction
Left Brain and Right Brain are a metaphor for extrinsic and intrinsic motivation, not a claim about neuroscience.Actionable Gamification Ch.13, pp.342-343
The evidence is correlational until it is tested in your product.
Habit metrics need the longer habit horizon (weeks to months) before they can be read.

Sources

Hooked · Nir Eyal
Ch.3 · Ch.8 · Ch.7

Source IDs: HK-T13HK-ACT21HK-MEA05HK-ACT22HK-MEA06

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

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