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Criterion
Blameless Postmortem workspace showing the question, observations, and next decision.
DevOps
Blameless Postmortem
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 Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
Purposedifferent
After an incident with damage or a near miss, the method creates a sober field for learning without assigning blame. It directs attention to the course of events, conditions, and effective countermeasures.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 Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.
Complexitydifferent
MediumMediumMediumLow
Timedifferent
30-90 min1-5 Tage3–4 h for initial assessment; preparation and deeper analysis additional25-40 min
Participantsdifferent
3-12Nutzertraffic1 or a small team; particularly suitable for 3–4 people1-5
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Postmortem Doc, Action Items, TimelineClick 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 checksLearning Card with evidence and next action
Tagsno overlap
Site Reliability EngineeringIncidentLearningReliability
ValidationExperimentsDemandDiscovery
ArchitectureQualityRiskAssessmentLean
ExperimentsValidationDiscoveryLearning
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