Tracking Individual Cycle Time Harms Teams
Tracking individual cycle time can harm team performance by encouraging task cherry-picking, reduced collaboration, and lower quality, without …
TL;DR; Measuring individual cycle time does not help teams improve because it focuses on people instead of the overall system. Real bottlenecks come from process issues like queues and overloaded work, not individual speed. To improve team performance, focus on system-level metrics such as lead time, throughput, and process efficiency, and address process bottlenecks rather than monitoring individuals.
I still see teams measuring individual cycle time as if that tells them anything useful. It doesn’t.
If you’re measuring a person’s speed, you’re missing the point. The problem is never the individual—it’s the system they’re operating in. You don’t measure a single cog in a machine; you measure how well the whole thing runs.
When work sits in queues, when reviews take forever, when people are overloaded with work in progress—those are the real bottlenecks. Measuring how fast someone moves a ticket through their own swim lane tells you nothing about flow.
Want to move faster? Stop monitoring individuals. Start looking at lead time, throughput, and process cycle efficiency (PCE). Fix the system, and the people will be able to do great work.
Where have you seen individual measurement lead to bad incentives? Drop your thoughts in the comments.
Each classification [Concepts, Categories, & Tags] was assigned using AI-powered semantic analysis and scored across relevance, depth, and alignment. Final decisions? Still human. Always traceable. Hover to see how it applies.
If you've made it this far, it's worth connecting with our principal consultant and coach, Martin Hinshelwood, for a 30-minute 'ask me anything' call.
We partner with businesses across diverse industries, including finance, insurance, healthcare, pharmaceuticals, technology, engineering, transportation, hospitality, entertainment, legal, government, and military sectors.
Lean SA
ALS Life Sciences
Deliotte
YearUp.org
Bistech
Slicedbread
Big Data for Humans
Sage
Boeing
Epic Games
Capita Secure Information Solutions Ltd
Slaughter and May
Ericson
Jack Links
SuperControl
Microsoft
Xceptor - Process and Data Automation
Workday
New Hampshire Supreme Court
Ghana Police Service
Nottingham County Council
Royal Air Force
Washington Department of Transport
Washington Department of Enterprise Services
Brandes Investment Partners L.P.
Workday
Alignment Healthcare
Teleplan
Big Data for Humans
DFDS