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Criterion
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Four paper stations connect system purpose, quality goals, risk cards and focused investigation with a target and gap profile.
Architecture
LASR (Lightweight Approach for Software Reviews)
Paper illustration of a Test Card with four fields for hypothesis, test, metric, and success threshold.
Product Discovery
Test Card
Purposedifferent
When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog.When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small.LASR helps development teams identify where their software falls short of important quality goals and which improvements to consider. A small group with existing system knowledge can make an initial assessment and investigate open questions in more detail.The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success.
Complexitydifferent
MediumMediumMediumLow
Timedifferent
60-90 min1-5 Tage3–4 h for initial assessment; preparation and deeper analysis additional20-35 min
Participantsdifferent
3-8Nutzertraffic1 or a small team; particularly suitable for 3–4 people1-5
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Prioritization Canvas, Hypothesis BacklogClick Data, Interest Signal, Learning DecisionLean Mission Statement describing the software’s purpose, Prioritized quality goals and evaluation criteria, Risks and estimated gaps against quality goals, More closely examined findings and open checksTest Card with a pre-set threshold
Tagsno overlap
ExperimentsPrioritizationDiscoveryHypothesis
ValidationExperimentsDemandDiscovery
ArchitectureQualityRiskAssessmentLean
ExperimentsValidationDiscoveryHypothesis
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