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Criterion
Gemba Walk workspace showing the question, observations, and next decision.
Operations
Gemba Walk
Paper illustration for Hypothesis-Driven Troubleshooting.
Engineering
Hypothesis-Driven Troubleshooting
Paper illustration for Expectation Mapping.
Facilitation
Expectation Mapping
Paper illustration of Spotify Model Mapping with its method-specific working model.
Team Design
Spotify Model Mapping
Purposedifferent
When there is uncertainty about the real course of a process, the method brings observation to the place where work happens. It combines perception, follow-up questions, and process knowledge so decisions rest on actual workflows instead of assumptions.When systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable.When roles, interfaces, or projects fail because of differing expectations, Expectation Mapping surfaces these differences. It shows what each side takes for granted and where the pictures diverge.When a team landscape has grown without clear grouping, it maps roles and relationships onto the Spotify model. It clarifies responsibility, interaction, and load between teams. The result is captured as a Spotify model map and action list.
Complexitydifferent
LowMediumLowMedium
Timedifferent
30-120 min30-240 min45-90 min90-180 min
Participantsdifferent
2-61-63-125-15
Formatdifferent
WorkshopWorkshop + asyncWorkshopWorkshop
Outputdifferent
Observation Notes, Improvement IdeasHypothesis Log, Test Plan, Evidence Notes, Diagnosis SummaryExpectation Map, Alignment Notes, AgreementsSpotify Model Map, Action List
Tagsno overlap
LeanObservationProcessOperations
TroubleshootingProblem solvingDiagnosis
AlignmentStakeholdersTeam
TeamOrganizationAlignmentDiagnosis
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