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Engineering throughput · 2020 · IEEE Software

Stale items predict quarter-end misses — Engineering throughput study #59

Research on engineering throughput: stale items predict quarter-end misses. Includes methodology notes, sample sizes, and operator implications.

This study summary is part of Route5's research catalog on execution, accountability, and AI-assisted operations. Use it to inform desk defaults, capture review, and escalation playbooks in your workspace.

Operator takeaway: Stale items predict quarter-end misses.