How do you actually pinpoint where work waits across teams?

Genuine question for the folks who own delivery predictability here.

We've got Jira, Git, and CI/CD dashboards, and every time cycle times slip I end up playing detective across all three. Jira tells one story, Git tells another, the CI system tells a third, and I spend the morning reconciling them by hand just to guess where work is actually stuck. The data's all there. What's missing is a single view of where things wait.

What gets me is that each team's local metrics look fine. Everyone optimizes the slice they control while the end-to-end lead time quietly keeps getting worse. So in retros we argue about which dashboard is right instead of naming the one handoff to fix.

A Broadcom survey I saw claimed only about a third of orgs say they have good visibility into delivery, and roughly a fifth call theirs a complete black hole. Feels about right honestly, most of us sit in the middle bucket where we can see just enough to worry but not enough to act.

So for those of you further along:

- how do you get from gut feel to actually pointing at the bottleneck?
- do you measure wait time / queue time between teams, or just per-team cycle time?
- what finally stopped the "whose dashboard is correct" debate for you?

Not looking for a tool rec, more curious how you've wired this up in practice and what actually changed the conversation with your teams.

Posted Aug 13, 2026, 4:43 PM UTC

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