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Criterion
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation
Design Thinking as a learning loop: an observation notebook, a focused problem statement, different idea sketches, a cardboard prototype and user-test notes. Feedback leads to new understanding.
Innovation
Design Thinking
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 for Failure Mode and Effects Analysis
Operations
Failure Mode and Effects Analysis
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.For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service.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.For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability.
Complexitydifferent
HighHighMediumHigh
Timedifferent
Mehrere Wochen1 Tag bis mehrere Wochen3–4 h for initial assessment; preparation and deeper analysis additional2-6 h
Participantsdifferent
2-6 researchers plus sample4-101 or a small team; particularly suitable for 3–4 people3-10
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypothesesProblem Statement, Prototype, Test LearningsLean 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 checksFMEA Table, Risk Priority, Mitigation Actions
Tagsno overlap
OutcomesInnovationResearchQuantitative
InnovationPrototypeResearch
ArchitectureQualityRiskAssessmentLean
RiskQualityOperationsRoot cause
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