View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion | ![]() UX Research Diary Study | ![]() Growth Flywheel | ![]() Growth A/B Testing | ![]() Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | When experiences build up over days or weeks and a single session cannot capture them, Diary Study records the course of everyday life. Recurring triggers, moods, and habits become visible this way, beyond the sharpness of memory. | Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. |
Complexitydifferent | Medium | Medium | High | Low |
Timedifferent | 1-4 Wochen | 60-120 min | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 5-20 | 3-8 | 1-6 | Nutzertraffic |
Formatdifferent | Async | Workshop | Async | Async |
Outputdifferent | Diary Entries, Longitudinal Patterns, Experience Timeline | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | UX researchTrackingBehavior | GrowthRetentionConversion | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |



