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Criterion
Paper illustration of a scoring table with four factor columns, a calculator and three ordered initiative cards.
Product Strategy
RICE Scoring
Paper illustration for Problem Interview
Product Discovery
Problem Interview
Design Thinking as a learning loop: an observation notebook, a focused problem statement, different idea sketches, a cardboard prototype and user-test notes. Feedback leads to new understanding.
Innovation
Design Thinking
Purposedifferent
When many initiatives compete for the same resources, it brings reach, impact, confidence, and effort into one shared ranking. It makes prioritization economically connectable.When the picture of the problem still needs to become solid, it asks about real situations and consequences. It separates genuine suffering from mere interest in a solution.For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service.
Complexitydifferent
MediumMediumHigh
Timedifferent
60-90 min30-60 min je Interview1 Tag bis mehrere Wochen
Participantsdifferent
2-105-12 Interviews4-10
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop
Outputdifferent
RICE Scores, Ranked List, Assumption LogProblem Evidence, Risk Notes, Customer SegmentsProblem Statement, Prototype, Test Learnings
Tagsno overlap
PrioritizationScoringRoadmapTradeoffs
DiscoveryInterviewsValidation
InnovationPrototypeResearch
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Methods with strong topical overlap with the current selection, not yet in the comparison.

A paper-based illustration representing Design Sprint with its core stages and visible working result.
Innovation
Design Sprint
Paper illustration for Solution Interview
Product Discovery
Solution Interview
Paper illustration for Concierge MVP
Product Discovery
Concierge MVP
Paper illustration of a decision table with criteria rows, weighted ratings, and a narrowly leading alternative.
Decision Making
Decision Matrix