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Criterion
How Might We
Innovation
How Might We
Paper illustration for Opportunity Interview
Product Discovery
Opportunity Interview
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Purposedifferent
With a stuck problem carrying many implicit assumptions, the method translates observations into open, workable questions. It sharpens the problem frame without pre-thinking the solution, turning frustration or fuzziness into a search space with clear direction.When opportunities are still hidden behind signals of need, it structures conversations around needs and obstacles. It looks for patterns that lead to new product opportunities.When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.
Complexitydifferent
LowMediumLow
Timedifferent
30–45 min30-60 min je Interview30-60 min
Participantsdifferent
1-105-12 Interviews1-5
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
HMW Questions, Challenge Framing, Idea PromptsInterview Notes, Opportunity Themes, Customer QuotesCompleted Experiment Canvas, Success Metric
Tagsno overlap
FramingOpportunityIdeationQuestions
DiscoveryInterviewsOpportunityCustomer
ExperimentsValidationDiscoveryHypothesis
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of a Test Card with four fields for hypothesis, test, metric, and success threshold.
Product Discovery
Test Card
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card