What is Engineering Cost Allocation?
Engineering cost allocation is the process of categorizing engineering spend into functional buckets: new feature development (innovation), maintenance and support, infrastructure, and technical debt remediation.
Engineering cost allocation is the process of categorizing engineering spend into functional buckets: new feature development (innovation), maintenance and support, infrastructure, and technical debt remediation.
Healthy allocation benchmarks: 40-60% innovation (new features), 20-30% maintenance (bugs, support), 10-20% infrastructure (tooling, platform), and 5-15% debt reduction (refactoring).
The Innovation Tax problem: most organizations believe they spend 60%+ on innovation. Richard Ewing's R&D Capital Audits consistently find the actual number is 25-40%. The gap is maintenance work embedded in feature sprints — engineers fixing bugs, updating dependencies, and refactoring within "feature" stories.
Accurate cost allocation requires: time tracking (at minimum, sprint-level categorization), clear definitions of each category, and regular auditing to prevent category drift.
Why It Matters
You can't optimize what you don't measure. Most organizations dramatically overestimate their innovation investment because maintenance work is hidden inside feature sprints. Accurate allocation reveals the true Innovation Tax.
How to Measure
1. **Categorize Sprint Work**: Tag each story as innovation, maintenance, infrastructure, or debt reduction.
2. **Calculate Ratios**: Innovation % should be 40-60%. Below 40% is concerning.
3. **Audit Quarterly**: Review categorization with engineering leads to prevent drift.
4. **Benchmark**: Compare your ratios to industry averages and historical trends.
Frequently Asked Questions
How should engineering time be allocated?
Benchmark: 40-60% innovation, 20-30% maintenance, 10-20% infrastructure, 5-15% debt reduction. Most companies overestimate innovation at 60%+ when the real number is 25-40%.
How do you measure innovation vs. maintenance?
Tag sprint stories by category. Audit quarterly. Be honest about maintenance embedded in feature work. The gap between perceived and actual allocation is the Innovation Tax.
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Richard Ewing is a Product Economist and AI Capital Auditor. He helps companies translate technical complexity into financial clarity.
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