methodatlas
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Criterion
Paper illustration of Lean UX Canvas with its method-specific working model.
UX Design
Lean UX Canvas
Paper illustration of shared options, independently placed voting dots, and a highlighted shortlist.
Facilitation
Dot Voting
Paper illustration of Product Kata with its method-specific working model.
Product Discovery
Product Kata
Purposedifferent
The Lean UX Canvas helps clarify user behavior, touchpoints, and concept decisions. It makes assumptions and desired outcomes visible and captures the result as a completed canvas, hypothesis list, and first experiment.When a workshop has produced too many options and the group needs to condense quickly, dot voting makes preferences visible in a short time. It bundles individual votes into a solid signal for the next selection.Product Kata helps clarify customer problems, solution ideas, and evidence through a repeatable improvement routine. It captures direction, current metric, target metric, experiment notes, and learning.
Complexitydifferent
MediumLowMedium
Timedifferent
2-3 h5-15 min1-2 Wochen je Loop
Participantsdifferent
3-83-203-10
Formatdifferent
Workshop + asyncWorkshopWorkshop + async
Outputdifferent
Completed Lean UX Canvas, Hypothesis list, First experimentRanked list, Consensus signal, ShortlistDirection, Current metric, Target metric, Experiment note, Learning report
Tagsno overlap
CanvasHypothesisOutcomesDiscovery
FacilitationVotingConsensusPrioritization
OutcomesDiscoveryLearningIterationCoaching
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Often compared together

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

Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas
Independent contributions form an ordered group priority list.
Facilitation
Nominal Group Technique
Paper illustration of Opportunity Scoring with its method-specific working model.
Product Discovery
Opportunity Scoring
Paper illustration for Troika Consulting.
Facilitation
Troika Consulting