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Case · M1 × Value (prosumer subscription)

Superhuman: 22% to 33% without shipping a feature

Superhuman asked users how they would feel if they could no longer use the product. Only 22% said very disappointed. By narrowing the analysis to the personas who loved it most, the score rose to 33% before any product change, then to 58% within about three quarters of focused work.

M1 ×Value

The outcome · 2018

“Very disappointed” went from 22% (summer 2017) to 33% by segmenting to the right personas, with no product change, and to 58% within about three quarters, per CEO Rahul Vohra (First Round Review, Nov 13, 2018). Company-described method.

Case grade for the number: B. Evidence grade for the mechanism link: B.

Company-reported

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Stage cell: M1 × Value (prosumer subscription).

What they did. Surveyed recent active users with the Sean Ellis question (how would you feel if you could no longer use the product?), then assigned personas, kept the segments with the most "very disappointed" answers, and split the roadmap between what those users loved and what held back similar "somewhat disappointed" users.

The mechanism. Talking to delighted customers HK-MEA10 (Hooked Ch.4) and measuring before building F26. It is also a business-fit check HK-STR01 (Hooked Ch.1): gamification can't rescue weak core value, so the first job is finding the segment where the value is real.

The outcome. 22% → 33% very disappointed (2017) by segmentation alone, then 58% (2018) within about three quarters Case grade B. Company-reported numbers..

What it means at your stage. At M0-M1, run the disappointment survey on recent active users, segment before you build, and use the 40% line as a heuristic, not a law. Pair it with a flattening retention curve in the same segment.

Caveats. Company-reported; the 40% threshold is a rule of thumb, not a statistically derived cut. Mechanism link Evidence grade B. Moderate evidence: solid studies with some limits..

Would you have called it?

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The techniques behind it

Each one is a starting point, not a recipe. Gamify It turns a technique into an experiment card for your product: the change, the metric, the guardrail and how long the test needs at your traffic.

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

    Remove what the loyal segment doesn't use

    subtractive change

    Hide or remove features that pull new users away from the path your most habitual users took, and give the feature that path depends on the most prominent place.

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

    Business-fit check and route choice

    does this product need a habit?

    Before adding engagement mechanics, check whether revenue depends on repeated, self-started use. If the behavior is naturally rare, aim to be the trusted default at the next moment of need instead of building a daily loop.

Limits

What we don’t claim

  • The Hook Model is a practical design tool, not a validated or complete theory of behavior.Hooked, Introduction
  • The threshold is a heuristic, not a measured cut-off.
  • No success is attributed to a single technique: real outcomes have many causes.
  • Company names are used editorially; no endorsement is implied.

Sources

Source IDs: HK-MEA10F26HK-STR01

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

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