What problem does it solve?
Enables structured, decision-oriented risk evaluation of proposed changes by splitting risks into mutually exclusive and collectively exhaustive dimensions and scoring probability and impact to produce actionable recommendations.
Core Features & Use Cases
- MECE six-dimension framework: Breaks risks into Correctness, Compatibility, Performance & Capacity, Security & Compliance, Operations & Deployment, and User Experience to avoid overlap and omission.
- Probability × Impact scoring with clear decisions: Assigns probability and impact for each risk, proposes mitigations, and classifies each item as Fix / Monitor / Accept.
- Single-solution and comparative modes: Supports evaluating one proposal or comparing alternatives (A vs B) with a concise decision matrix for product rollouts, architecture refactors, and release gating.
- Practical output templates and workflow: Includes an actionable report template, execution phases (scope → scan → matrix → recommendation), and guidance for follow-ups like tracing and smoke tests.
- Use case example: Compare Token budget management approaches or evaluate a migration from monolith to microservices and receive prioritized mitigation and rollout advice.
Quick Start
Assess the risks of migrating the session store from Redis to MongoDB by producing a MECE six-dimension matrix that lists each risk, its probability and impact, mitigation steps, and a clear accept/monitor/fix decision.