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Criterion
Surveys method illustration showing its working structure
UX Research
Surveys
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 Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Purposedifferent
When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal.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.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.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
MediumMediumHighMedium
Timedifferent
3-14 Tage3–4 h for initial assessment; preparation and deeper analysis additionalMehrere Wochen45-60 min
Participantsdifferent
50+1 or a small team; particularly suitable for 3–4 people2-6 researchers plus sample2-8
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Survey Results, Charts, Segment InsightsLean 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 checksDesired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesAssumption map, Test backlog, Risk ranking
Tagsno overlap
QuantitativeResearchValidation
ArchitectureQualityRiskAssessmentLean
OutcomesInnovationResearchQuantitative
AssumptionsRiskExperimentsValidation
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