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Criterion
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Paper illustration of Request for Comments (RFC) with its method-specific working model.
Architecture
Request for Comments
Paper illustration for Argument Mapping
Decision Making
Argument Mapping
Paper illustration for Cynefin Workshop.
Decision Making
Cynefin Workshop
Purposedifferent
Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs.An RFC clarifies architecture context, options, and consequences. It structures technical context, alternatives, tradeoffs, open questions, and review feedback, and captures the result as an RFC document, reviewer comments, and a decision rationale.When statements, evidence, and counterarguments get mixed up, a debate quickly loses its structure. Argument Mapping breaks a thesis down into its reasoning and makes visible what it really rests on.When problems are unclear, chaotic, or only seemingly familiar, standard recipes fall short. A Cynefin Workshop sorts situations by the nature of their problem and connects them with matching action logic.
Complexitydifferent
HighMediumMediumMedium
Timedifferent
Mehrere Wochen1-3 Wochen vom Draft bis zur Entscheidung1-3 h60-180 min
Participantsdifferent
2-6 researchers plus sample3-20 Reviewer1-84-20
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop
Outputdifferent
Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesRFC document, Reviewer comments, Decision rationale, Follow-up ADR or ticketsArgument Map, Evidence Gaps, Decision RationaleCynefin Map, Domain-specific Actions, Sensemaking Notes
Tagsno overlap
OutcomesInnovationResearchQuantitative
ArchitectureDecisionAsyncGovernance
SensemakingDecisionRationale
ComplexitySensemakingDecision
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