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Merrowind Analytics: where 19 days go

What you get at the end of a 2-week diagnostic, shortened. The company and every number here are made up to show the format; your report is built from your own Jira, Git and CI data.

Other samples: Product team diagnostic · Operations diagnostic · Pre-sale R&D baseline

Median lead time19.3 dstart → production
Releases1 per 3 wksrelease train
Time spent waiting67%of lead time, in queues
Manual regression2.2 daysper release, 2 QA engineers

Where the days go

Waiting in backlog3.1 daysIn progress3.4 daysWaiting for review4.4 daysIn review0.8 daysWaiting for QA4.2 daysManual regression2.2 daysWaiting for release train1.2 daysWaiting in backlog3.1 daysIn progress3.4 daysWaiting for review4.4 daysIn review0.8 daysWaiting for QA4.2 daysManual regression2.2 daysWaiting for release train1.2 days

Darker bars are queues, lighter bars are work. In blue, the two queues worth attacking first. Two thirds of lead time is waiting.

Top five fixes, ranked by € saved a year

FixEffortEst. saving a year
Automate the 140 manual regression checks6 wks, 1 eng€96k
Merge "Platform" and "Checkout" ownership into one team2 wks€71k
Review within 1 working day: small PRs, review rotation1 wk€44k
Weekly release instead of a 3-week train3 wks€38k
AI ticket triage for support → engineering (no personal data)2 wks€21k

Each saving shows its working in the full report: hours × loaded cost, and the queue time it removes.

Want this for your own team?

Write to us with how many engineers you have and how often you release. The diagnostic takes two weeks, €6,500, and the report is yours either way.

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