Tech Debt vs. Design Debt
Code Quality vs. UX Quality — Both Cost You
Tech debt slows engineers. Design debt frustrates users. Both erode value. Most teams only track one.
📊 Scoring Matrix
Visible to engineers
Visible to users/designers
Slower feature velocity
Lower conversion/retention
PDI, code metrics, cycle time
NPS, task completion, heuristics
Refactoring sprints
Design system investment
Limits shipping speed
Limits user acquisition
Engineering efficiency story
Product quality story
📋 Executive Summary
Track both. Tech debt limits how fast you build. Design debt limits how well users convert. Both compound silently.
Design debt costs 10-30% of potential revenue through poor conversion. Tech debt costs 20-40% of engineering velocity.
🎯 Decision Framework
- ✓ Engineering velocity declining
- ✓ Incident frequency increasing
- ✓ Code review cycle times growing
- ✓ Developer satisfaction dropping
- ✓ User conversion rates declining
- ✓ Inconsistent UI/UX across product
- ✓ User complaints about learnability
- ✓ Design system gaps
Shipping slowly? Address tech debt. Users not converting? Address design debt. Both? Start with what impacts revenue.
🌐 Market Context
Tech debt frameworks well-established (PDI, DORA). Design debt measurement still emerging as a discipline.
Design systems (reducing design debt) adopted by 80% of product companies. Design debt audits growing as a practice.
🛠️ Related Tools
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