Your utilisation numbers are lying to you
Your engineers are at 95% utilisation. The dashboard looks healthy.
But half that time is rework, context switching, and tickets that should have been documented once and deflected forever. High utilisation with low resolution rates means your team is busy, not productive.
The scenario:
You want to analyse your team’s utilisation data to separate productive work from waste.
The prompt:
You’re analysing engineer productivity from PSA data.
Data: [paste time entry export or utilisation report]
Break down the numbers to show:
Productive hours vs. rework/repeat ticket hours
Time spent on tickets that have appeared 3+ times (automation candidates)
Context switching patterns (how often engineers jump between clients)
Effective utilisation rate (productive hours only)
Top 5 time sinks with specific recommendations to fix each
Present findings in a format you can show to leadership.