Define the system and unit of analysis
Specify process, population, product, time window, boundaries and aggregation level. Without a defined unit of analysis, measures and comparisons may represent different phenomena.
Assesses innovation projects for alignment, opportunity, desirability, technical feasibility, economic viability and adaptability using evidence.
Before opening a form, define the question that must be answered. A management tool is useful when it reduces ambiguity, exposes assumptions and makes clear which decision will be made from the evidence produced.
INN-07How strong is the evidence for alignment, opportunity, desirability, technical feasibility, economic viability and adaptability?
Innovation operates under uncertainty. The tool should organize hypotheses, evidence and choices without creating an illusion of certainty around what still needs to be tested. The aim is to learn faster and allocate resources with better information.
Use it to explore models, customers, value propositions and portfolios, separating assumption, evidence and investment decision.
A scorecard summarizes multiple dimensions, but the score is useful only when each scale has an operational definition and associated evidence. The total should never hide the behavior of its components.
Specify process, population, product, time window, boundaries and aggregation level. Without a defined unit of analysis, measures and comparisons may represent different phenomena.
Translate abstract concepts into operational definitions, scales, classification rules and data sources. Criteria should exist before the result to reduce retrospective interpretation.
Link each conclusion to data, observations, assumptions and owners. When a score is used, retain its components; when a hypothesis is used, record how it will be tested.
Analyze total score, distribution, critical items and trend. In risk, a comfortable average may hide an unacceptable dimension; in strategy, a strong metric may mask an objective with no execution.
A project scores 4/5 on desirability due to interviews and pre-sales but 2/5 on technical feasibility because a critical integration is unprototyped. Average 3.6 should not hide the bottleneck; the next investment may be a technical test.
The example is intentionally specific. Numbers illustrate the reasoning and are not universal benchmarks: limits, scales and targets must be defined for the process being analyzed.Measures should serve reasoning. Whenever possible combine outcome, process and contextual evidence. For time series, look for patterns and variation rather than only point-in-time before/after comparisons.
Ask whether another person, using the same definitions and evidence, would reach a similar interpretation. If the answer depends heavily on individual judgment, refine the operational definition, scale or data source.
Support instrument structured by Struckel from recognized principles. Its score/classification should not be presented as psychometric or statistically validated without a specific validation study.
The Struckel scorecard is a decision instrument, not a validated statistical model. Do not average away a critical weak dimension.
Define an owner, review frequency, official data source and condition for reopening the decision. Link actions to deadlines and indicators, hypotheses to tests, and risks to treatment and follow-up.
The references below support the methodological family or principle used. Struckel’s digital implementation operationalizes application, documentation and traceability; it does not change the conceptual limits of the original sources.
ISO 56002:2019. Innovation management — Innovation management system — Guidance.
ISO 31000:2018. Risk management — Guidelines.
Struckel Forms offers a free way to structure this methodology with guided fields, contextual help and print/PDF preparation. Use the tool to organize reasoning; use consulting when the challenge requires design, implementation, facilitation or executive follow-up.