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Criterion
Four paper collections for projects, responsibilities, resources and archives.
Knowledge Modeling
PARA Method
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 Test Card with four fields for hypothesis, test, metric, and success threshold.
Product Discovery
Test Card
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
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.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 Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success.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.
Complexitydifferent
MediumMediumLowMedium
Timedifferent
1-3 h Setup, laufend3–4 h for initial assessment; preparation and deeper analysis additional20-35 min1-5 Tage
Participantsdifferent
11 or a small team; particularly suitable for 3–4 people1-5Nutzertraffic
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchiveLean 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 checksTest Card with a pre-set thresholdClick Data, Interest Signal, Learning Decision
Tagsno overlap
KnowledgeProductivityOrganization
ArchitectureQualityRiskAssessmentLean
ExperimentsValidationDiscoveryHypothesis
ValidationExperimentsDemandDiscovery
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