Intervention Sizing
Sizes recommendations across business, process, and tech issues into calibrated tiers from quick fixes to full transformations.
Intervention Sizing guides decision-makers from problem diagnosis to proportionate execution by categorizing solutions into quick fixes, controlled pilots, structural changes, or broad transformations. By evaluating blast radius, reversibility, cost, stakeholder impact, and evidence confidence, it helps engineering and business leaders identify the smallest intervention capable of producing actionable learning while preventing costly, oversized redesigns.
主な機能
010 GitHub stars
02Evaluates proposed changes by blast radius, reversibility, cost, and stakeholder impact
03Classifies recommendations into four distinct tiers: quick fix, pilot, structural change, and transformation
04Directly maps actions back to diagnosed symptoms, root causes, and stressed operational edges
05Applies quality checklists to prevent over-engineering and premature large-scale changes
06Generates structured tabular outputs complete with ownership, success evidence, and feedback loops
ユースケース
01Designing controlled pilot tests to validate hypotheses before committing to structural architecture redesigns
02Prioritizing organizational, technology, or governance initiatives based on evidence confidence and reversibility
03Moving from system diagnosis to concrete, proportionate action plans without over-engineering solutions