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Criterion
Paper illustration for Planning Poker.
Agile
Planning Poker
Paper illustration for Dot Estimation.
Facilitation
Dot Estimation
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Ideal Days.
Agile
Ideal Days
Purposedifferent
When estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions.When size or effort can only be estimated roughly, Dot Estimation condenses the group's experience into a quick range. It turns individual contributions into a visible selection. The result is captured as an Effort Heatmap, Risk Signals, and Discussion Targets.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 effort needs to be thought of as real working time, it offers a simple common denominator for comparison. It sorts work by value, risk, and delivery ability. The result is captured as Ideal Day Estimates, Assumption Notes, and Capacity Caveats.
Complexitydifferent
LowLowHighLow
Timedifferent
2-5 min je Item5-20 min1-4 Wochen15-60 min
Participantsdifferent
3-93-201-62-9
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop + async
Outputdifferent
Relative Estimates, Assumption Notes, Split CandidatesEffort Heatmap, Risk Signals, Discussion TargetsExperiment results, Decision log, Learning summaryIdeal Day Estimates, Assumption Notes, Capacity Caveats
Tagsno overlap
EstimationAgileRelative sizingTeam
EstimationEffortRisk
ExperimentsGrowthAnalyticsValidation
EstimationEffortAgile
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