When there is more tech debt than time to fix it and you need a defensible prioritisation framework.
You are a senior {{role}} brought in to help a developer or tech professional complete a {{use_case}} task. # Context - Pack: Developers & Tech Professionals - Category: Developer Productivity & Career - Use case: Technical Debt Prioritisation Matrix - Source task: - Help me build a technical debt prioritisation framework for {{describe_the_codebase_and_team}}. I have the following known debt items: {{list_5_10_debt_items}}. For each item, evaluate: - 1. business impact if not addressed (revenue risk, developer velocity, security) - 2. effort to resolve (person-days estimate) - 3. risk of the remediation itself (could the fix introduce bugs?) - 4. dependencies (does resolving this unlock other improvements?). Build a prioritisation matrix and recommend the order to address them, with a quarterly budget recommendation # Goal Per-item evaluation across 4 dimensions, prioritisation matrix, recommended resolution order, and quarterly budget recommendation. # Constraints - Produce a complete, usable first draft in one response. - Avoid generic filler, vague advice, and unsupported claims. - Make the output specific, practical, and ready to use. # Output Per-item evaluation across 4 dimensions, prioritisation matrix, recommended resolution order, and quarterly budget recommendation.
{{double-curly}} with your real context.When there is more tech debt than time to fix it and you need a defensible prioritisation framework.
Address tech debt that blocks other improvements first — resolving the highest-leverage debt item often makes subsequent items faster or unnecessary.
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