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Criterion
Four paper collections for projects, responsibilities, resources and archives.
Knowledge Modeling
PARA Method
Paper illustration for Hypothesis-Driven Troubleshooting.
Engineering
Hypothesis-Driven Troubleshooting
Paper illustration of Spotify Model Mapping with its method-specific working model.
Team Design
Spotify Model Mapping
Paper illustration of the McKinsey 7S Framework with seven connected fields
Business Strategy
McKinsey 7S
Purposedifferent
The PARA Method organizes knowledge into Projects, Areas, Resources, and Archives. It creates order when digital notes, files, and tasks no longer cleanly fit current work.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 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.McKinsey 7S checks whether Strategy, Structure, Systems, Shared Values, Skills, Style, and Staff fit together. Organizational misalignments become visible across multiple levers as a result.
Complexitysame
MediumMediumMediumMedium
Timedifferent
1-3 h Setup, laufend30-240 min90-180 min2-4 h
Participantsdifferent
11-65-153-12
Formatdifferent
AsyncWorkshop + asyncWorkshopWorkshop
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchiveHypothesis Log, Test Plan, Evidence Notes, Diagnosis SummarySpotify Model Map, Action List7S Assessment, Alignment Gaps, Change Actions
Tagsno overlap
KnowledgeProductivityOrganization
TroubleshootingProblem solvingDiagnosis
TeamOrganizationAlignmentDiagnosis
OrganizationStrategyAlignmentChange
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