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| Criterion | ![]() UX Research Diary Study | ![]() Product Strategy Lean Canvas | ![]() Business Strategy Value Chain Analysis | ![]() Product Strategy DIBB |
|---|---|---|---|---|
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. | When an early product bet still has too many open points, it brings target group, problem, and assumptions into a single view. It condenses the idea so core risks become nameable. | Value Chain Analysis shows where value is created, costs accrue, and differentiation becomes possible along the process. It compares strengths, risks, market logic, and courses of action. The result is captured as a value-chain map and lever list. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. |
Complexitydifferent | Medium | Medium | High | Low |
Timedifferent | 1-4 Wochen | 45-90 min | Half day | 1-2 h |
Participantsdifferent | 5-20 | 1-6 | 3-8 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Diary Entries, Longitudinal Patterns, Experience Timeline | Lean Canvas, Core Assumptions, Experiment Backlog | Value Chain Map, Lever List | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | UX researchTrackingBehavior | StartupLeanAssumptionsBusiness model | StrategyBusiness modelDiagnosisAnalysis | StrategyDecisionAssumptionsHypothesis |



