For cooking apps

Find the cooking behavior that creates a return.

Separate recipe browsing from the actions that build a useful weekly habit.

Candidate AFirst recipe saved
Candidate BCook mode completed
Candidate CSecond meal planned

These are illustrative candidates, not proven activation signals.

The activation problem

Browsing can hide intent.

A saved recipe may mean curiosity. Cook mode and meal planning show different utility.

SignalUtility before habit

Compare saves, cook mode, and meal planning.

OutcomeA repeat cooking action

Define return around useful cooking behavior.

ActionOne useful prompt

Respect timing, preference, and notification fatigue.

Sprint method

Measure the real journey.

See the full Sprint method →

01 / Discover

Rank behaviors.

Compare cooking actions with repeat utility.

02 / Validate

Test a prompt.

Measure treatment against control.

03 / Operate

Ship the rule.

Act on the observed cooking state.

Fit requirements

Ready when these exist.

  • Search, save, cook, and planning events have timestamps.
  • A repeat cooking outcome is defined.
  • Your team can test one useful prompt.
  • Consent and privacy controls cover the data.

Cooking activation

Find the behavior behind return.

Bring the journey and one repeat-use question.

Book a sprint