Stop treating technical debt as a separate category. Score it using the same prioritization framework you use for features. Debt that slows down every sprint has enormous reach and impact. Debt that nobody notices can wait.
Score Debt Like Features
Run technical debt through your RICE Calculator or weighted scoring model. Reach is the number of developers affected per sprint. Impact is the velocity drag measured in hours lost per week. Confidence is how certain engineering is about the estimate. Effort is the fix cost.
A database migration that saves 3 hours of developer time per sprint across 8 engineers scores higher than most feature requests. A code cleanup that only one person notices scores lower. The math makes the decision clear.
The 20% Rule Is a Trap
Many teams allocate a fixed 20% of sprint capacity to debt. This sounds fair but it is arbitrary. Some quarters you need 40% on debt because a critical system is failing. Other quarters you need 5% because your codebase is healthy. Fixed allocation removes judgment from the equation, which is the opposite of good product management.
Instead, let debt items compete on merit. If three of your top ten backlog items are debt, that is your signal. If zero are, that is fine too.
Categorize by Customer Impact
Not all debt is equal. Sort it into three buckets:
Customer-facing debt slows page loads, causes errors, or degrades UX. This competes directly with features because customers feel both. Score it normally.
Developer-velocity debt slows shipping speed. Quantify it: "This refactor will save 5 hours per sprint for the next 12 months." That is 260 hours of capacity. Compare that ROI against your next feature.
Theoretical debt is code that is messy but works fine. Unless it blocks something specific, leave it alone. Perfectionism disguised as debt management is a real problem.
Making the Case to Stakeholders
Engineers often struggle to explain debt to non-technical stakeholders. Frame it in business terms: "If we do not fix the payment service, our checkout error rate will increase by 2% per month. At current volume, that is $50K in lost revenue by Q3." The stakeholder map tool can help identify who needs which framing.
For the full prioritization process, the feature prioritization guide walks through scoring and stakeholder alignment step by step.