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Capacity Allocation Template for Agile Teams
A template for allocating team capacity across projects, feature work, tech debt, and support with visual breakdowns and trade-off documentation.
Updated 2026-03-05
Capacity Allocation
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Frequently Asked Questions
What is the right split between feature work and tech debt?+
There is no universal answer, but 60/20/15/5 (features/debt/bugs/experimentation) is a common starting point for growth-stage SaaS teams. Mature products with significant legacy code may need 40/30/20/10. Early-stage startups often run 80/10/5/5. The right split depends on your product's age, codebase health, and business priorities.
How do we handle unplanned work that exceeds the buffer?+
If unplanned work (incidents, P0 bugs, urgent requests) exceeds the 10-15% buffer, it eats into feature capacity first. Document the impact and share it with stakeholders immediately: "We spent 20 engineer-days on incident response this sprint. Feature X is now delayed by one sprint." This creates visibility and motivates investment in reliability.
Should we allocate capacity for individual engineers or the team?+
Allocate at the team level. Individual allocations create rigidity and bottlenecks. If one engineer finishes their "feature" work early, they should be able to pick up tech debt or bug fixes without needing permission or reallocation. Team-level allocation gives flexibility while maintaining overall balance.
How do we get stakeholders to accept less than 100% feature capacity?+
Show them the data. Present last quarter's planned vs. actual allocation, the number of incidents caused by tech debt, and the bug backlog trend. Frame tech debt as "velocity investment": every hour spent on reliability and tooling returns multiple hours of faster feature delivery later. Concrete numbers work better than abstract arguments.
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