What needs to be finished first
A documented JTBD statement or comparable user understanding exists so that triggers and rewards are anchored to real user goals.
A North Star metric or comparable outcome metric is set to measure engagement impact.
What needs to be ready before start
Hooked canvas with four fields (Trigger, Action, Variable Reward, Investment); analytics setup for engagement metrics; excerpts from user research (quotes, behavioral data); ethics check list (for example Nir's Manipulation Matrix); loop iteration tracking tool.
One product lead or growth lead as owner; designer for reward and action mechanics; engineer for trigger and investment; one ethics reviewer (internal or external), optional behavioral designer.
JTBD and user segments; North Star metric; current engagement data (DAU/MAU, retention curves, frequency); Hooked theory briefing for the team; known manipulation risks in the domain.
Several workshops over multiple weeks plus iterative loops
Canvas on wall or board. Make manipulation matrix a mandatory section. Keep engagement metrics visible. Definition of done for loop design: mechanism plus signed ethics check.
The one question this method answers
Which hooked loop combines trigger, action, variable reward, and investment so user habits form that genuinely help users without creating manipulation?
Marker: Phase
| Step | Duration | Action | Hint |
|---|---|---|---|
1Phase 1: Identify triggers | 60-90 min | List external triggers (notifications, email, advertising, recommendations) and internal triggers (emotions such as boredom, concern, curiosity) for the target segment. Estimate frequency and intensity per trigger. Mark top three external and two internal triggers. | If only external triggers are planned, the design becomes a push-app pattern. Habits come from internal triggers. Without at least one plausible internal trigger, the loop is fragile. |
2Phase 2: Minimize action | 60-90 min | Reduce action friction so the behavior occurs with minimal effort (Fogg model: Motivation × Ability × Trigger). List friction points and test each point: can it be removed, automated, or made faster? | Reducing friction does not mean removing every click. Some friction prevents mistakes. Friction before valuable actions such as payment or deletion should remain. |
3Phase 3: Variable reward | 60-90 min | Review three reward types: Tribe (social recognition), Hunt (information, materials), Self (competence). Design one or two reward types per action and ensure variability; not every action yields the same reward. | Variability is the key lever. Constant rewards become stale. But variability alone can be addictive. For each reward ask: does the variable element serve the user or work against them? |
4Phase 4: Investment | 45-60 min | Design investment points: users contribute data, content, social ties, or configuration. For each investment, ask: does it increase trigger strength for the next iteration, and does it enrich reward? | Investment without links to later triggers or rewards is a meaningless burden. The loop closes when investment makes the next trigger stronger. |
5Phase 5: Ethics check (Manipulation Matrix) | 60-90 min | Ask two questions per loop element: (1) Would the designer use this loop themselves? (2) Does it genuinely help the user? Four quadrants: Facilitator, Peddler, Entertainer, Dealer. Remove dealer mechanisms. | Skipping this check can lead to dark patterns over time. Involve at least one external ethics reviewer. Document all removals in writing. |
6Phase 6: Test and measure loop | Multiple weeks, live test | Build an MVP version of the loop. Measure engagement metrics (frequency, return rate, time-of-day distribution) and value metrics (tasks solved, JTBD outcome). If engagement rises but value does not, redesign the loop. | Engagement without value is a warning sign. If DAU rises while NPS or JTBD outcomes stay flat, the loop is manipulative. Stop and redesign. |
What comes out at the end
Hooked canvas with four fields and concrete mechanisms, manipulation matrix with per-loop element ratings, engagement and value metrics dashboard, test plan, and iteration backlog.
Track each loop iteration by date and version. Version the manipulation matrix with reviewer signature. Keep engagement data with measurement window. Document loop updates with rationale; do not overwrite.
Compact working template for Hooked Model with context, input, output artifacts, and next step.
What is this method used for?
Which question should be answered at the end?
Which data, observations, or materials are available?
Owner, date, success signal.
Concrete filled scenario, fictional example
Concrete filled scenario, fictional example
Trigger:
Action:
Variable reward:
Investment:
Manipulation Matrix check (reviewer @sabine external):
Live metrics (4 week test):
Recognize symptoms and steer against them
The loop consists mainly of push notifications and lacks internal trigger anchoring.
Explicitly model internal triggers (emotion, situation, routine). If no internal trigger can be found, deepen JTBD. Push alone creates fatigue, not habit.
DAU/MAU rise, but outcome metric or NPS does not move or declines.
Track value metrics equally with engagement metrics. If only engagement rises, redesign the loop. Dark patterns are not innovation.
Reward variability resembles slot-machine behavior and users feel compelled rather than enriched.
Tie variability to value, not random chance without purpose. Remove pull-to-refresh with empty content mechanics or replace them with genuine information.
Manipulation matrix is approved too quickly and every loop lands in the Facilitator quadrant.
Involve at least one external reviewer. Require honest answers per loop element. If the answer to "Would I use this myself?" is no, that element must change.
No friction remains before high-risk actions such as payment or data deletion, and errors increase.
Friction is not always the enemy. Keep confirmation steps before valuable or risky actions. Only reduce friction for repetitive low-value actions.
Users provide data, but later triggers are not more relevant.
Feed investment data into later triggers and rewards. If data is only collected from impulse, investment is misused.
Done signals checkable in under a minute
Go to the profile for purpose, similar methods, and sources or continue to the next method in the catalog.