Labor Utilization
Labor Utilization Dashboard
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Utilization by Department: Stoplight View
| Employee / Department | Total Hrs | Direct Hrs | Indirect Hrs | Direct Utilization | Change |
|---|
Team Trend: Direct Utilization %
Job Dimension Split (Direct Hours)
Job Codes by Direct Hours
| Job code | Dimension | Direct hours | Share of dimension | People |
|---|
Direct Utilization % by Employee
Employee Detail
One person at a time, for reviews. Uses the period chosen at the top. “Print this employee” prints just this section, with the H2LV logo.
Data Gaps / Roadmap
Flagged on the 7/14 team call. Not yet buildable from the current Rippling export.
- Rental asset / equipment utilization — Richard asked to track utilization of rental fleet as "inventory," not just people. No asset-level dimension exists in the current time-clock export; needs an asset ID field (e.g. a new job dimension or a separate rental-tracking feed) before this can be added.
- Travel hours by employee — Richard wants travel broken out (e.g. Scott's 63 hrs/week driving trend). Not currently tagged as its own dimension in Rippling clock-ins; would need a "Travel" job code or a location flag.
- Revenue vs. labor-hours correlation — Brandon and Amir agreed to compare rolling 4-week recognized revenue to rolling 4-week direct labor hours (and eventually job-by-job, once clocking is reliably tied to specific unit/PO numbers). Revenue data isn't in this workbook; needs a feed from the finance system.
- Data accuracy ramp / history window — The Week of Jul 6, 2026 is the first week of true data capture, so all trend charts and employee histories start there; earlier weeks in the Rippling export (effectively 100% indirect because nobody was clocking to units yet) are excluded from comparisons. Field tablets went live the week of 7/13/2026, so the first few weeks may still undercount Direct hours.