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Criterion
Four paper collections for projects, responsibilities, resources and archives.
Knowledge Modeling
PARA Method
Paper illustration for Failure Scenario Analysis.
Engineering
Failure Scenario Analysis
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)
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
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.In critical processes, it is not enough to plan only for the normal case. Failure Scenario Analysis looks at the path into failure and shows which failures, chains, and control gaps cause the most damage.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.In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures.
Complexitydifferent
MediumMediumMediumLow
Timedifferent
1-3 h Setup, laufend1-3 h3–4 h for initial assessment; preparation and deeper analysis additional20–45 min
Participantsdifferent
13-81 or a small team; particularly suitable for 3–4 peopleSmall cross-functional group
Formatdifferent
AsyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
PARA Structure, Project Notes, Knowledge ArchiveFailure Scenarios, Risk Notes, Control Gaps, Test and Response ActionsLean 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 checksRisk list, Mitigation plan, Assumption log
Tagsno overlap
KnowledgeProductivityOrganization
FailureResilienceRisk
ArchitectureQualityRiskAssessmentLean
RiskDecisionFailurePlanning
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