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Criterion
Paper illustration of Team Cognitive Load Assessment with its method-specific working model.
Team Design
Team Cognitive Load Assessment
Paper illustration of Spotify Model Mapping with its method-specific working model.
Team Design
Spotify Model Mapping
A structured reflection surfaces what was liked, learned, lacked, and longed for. It is a conversation format and does not validate actions automatically.
Agile
4Ls Retrospective
The Scrum Team inspects people, interactions, processes, tools, and the Definition of Done, then agrees on a few testable improvements.
Agile
Sprint Retrospective
Purposedifferent
When a team juggles too many domains, systems, or handoffs, it measures mental overload as an organizational problem. It clarifies responsibility, interaction, and load between teams. The result is captured as a cognitive-load profile and action list.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.When a sprint should not only be assessed but also learned from, it captures experience in clear learning categories. It records what worked, what's missing, and what should run differently next time.When a sprint is over and friction shouldn't simply be carried forward, it opens the view onto collaboration and patterns. It creates space to see causes and changes together.
Complexitydifferent
MediumMediumLowLow
Timedifferent
60-90 min90-180 min45–75 minUp to 3 hours for a one-month Sprint; shorter Sprints are usually shorter
Participantsdifferent
3-125-15Team members involvedScrum Team
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop
Outputdifferent
Cognitive Load Profile, Action ListSpotify Model Map, Action List4Ls Board, Learning Themes, Improvement ActionsImprovement actions, Team agreements
Tagsno overlap
TeamComplexityImprovementDiagnosis
TeamOrganizationAlignmentDiagnosis
RetrospectiveLearningReflectionTeam
RetrospectiveImprovementLearning
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