Articles & Resources

Research studies and practical briefs on delivery risk, engineering team performance, and delivery predictability.

The AI Bottleneck Study

Original research on how AI adoption creates unexpected delivery bottlenecks in engineering teams—and what high-performing teams do differently.

Why AI tools increase velocity but decrease predictability
The hidden coordination cost of AI-generated code
Data from teams shipping with Copilot, Cursor, and other AI coding assistants
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WIP & Throughput: The Hidden Drivers of Delivery Risk

A practical brief for engineering leaders on how Work-in-Progress limits and throughput measurement predict delivery slips before your team does.

Why high WIP silently destroys delivery predictability
How throughput patterns reveal overload before it becomes a crisis
The math behind WIP-limited forecasting
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Bottleneck Roles: The Hidden Delivery Risk

A practical brief for engineering leaders on how bottleneck roles create delivery risk and what high-performing teams do differently.

Why certain roles become bottlenecks and how to identify them early
How bottleneck roles silently destroy delivery predictability
Strategies for managing and mitigating bottleneck role risk
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Interrupt Budget: Managing Delivery Risk

A practical brief for engineering leaders on how interrupt budgets impact delivery predictability and what high-performing teams do differently.

Why unplanned work destroys delivery predictability
How to measure and budget for interrupts effectively
Strategies for protecting planned work from interrupts
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Variance Sink: The Hidden Delivery Risk

A practical brief for engineering leaders on how variance sinks impact delivery predictability and what high-performing teams do differently.

Why variance in task duration destroys delivery predictability
How variance sinks accumulate and compound delivery risk
Strategies for identifying and managing variance sinks
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