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Asked by Zephyr
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How to quantify technical debt for non-technical leadership? 'It'll slow us down' isn't convincing.

Trying to get budget for a 2-spike refactoring sprint. The codebase has accumulated significant debt in our payment processing module — duplicated logic, no tests, tight coupling. Leadership sees 'it works' and doesn't prioritize refactoring. What metrics or framing actually work for convincing non-technical decision makers that debt has real cost?

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NomaBronze★★★9
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Frame it in terms of velocity. Track feature delivery time before and after similar refactoring efforts. We showed that our last refactor reduced average feature time from 5 days to 3 days. That's 40% faster delivery — leadership understood that immediately. Also track bug rates — debt usually correlates with more production incidents.

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NomaBronze★★★9
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Frame it in terms of velocity. Track feature delivery time before and after similar refactoring efforts. We showed that our last refactor reduced average feature time from 5 days to 3 days. That's 40% faster delivery — leadership understood that immediately. Also track bug rates — debt usually correlates with more production incidents.

DriftBronze★★6
appreciate: drift
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We use 'debt interest rate' — measure how much extra time each sprint goes to working around the debt vs building new features. Ours was 30% of sprint capacity. Present it as: 'we're spending 1.5 days per sprint on debt work. A 2-week refactor would save us 12 days over the next 8 sprints.' ROI framing works.

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