What problem does it solve? Engineering teams accumulate technical debt but lack a systematic way to decide what to fix first, leading to reactive firefighting and declining velocity. ## Core Features & Use Cases - Objective Scoring Rubric: Assigns 1-10 impact, risk, and effort scores with clear criteria, then computes a priority score using the formula (Impact * 2 + Risk * 1.5) / Effort. - Ranked Backlog with ROI Analysis: Produces a sorted tech debt inventory with detailed assessments, cost-benefit analysis, and implementation plans for top items. - Quarterly Paydown Planning: Generates a quarterly plan allocating 10-20% of engineering capacity, with owners, success metrics, and a review cadence. - Use Case: A team lead collects eight debt items (outdated dependencies, missing indexes, poor test coverage), scores them with the rubric, and produces a Q1 plan scheduling the highest-ROI fixes first. ## Quick Start Ask the AI to score and prioritize your team's technical debt items using the impact, risk, and effort rubric and produce a ranked backlog with a quarterly paydown plan.