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WORKLOAD BALANCING

Workload balancing that ends burnout before it becomes turnover

Jobs distributed by actual utilization, not headcount. The engine monitors hours, skills, and capacity across your team, so no technician burns out while another sits idle.



Workload management software that measures what matters

Fair job distribution shouldn’t require mental math. FieldCamp’s optimizer evaluates every technician’s scheduled hours, skills, and capacity, then distributes work so the team stays balanced, automatically.

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Balances by scheduled hours, not job count

Five jobs mean nothing if three are 4-hour installs and two are 15-minute inspections. The solver distributes work based on scheduled hours per technician, not just counting pins on a map. The heavier the workload balance weight, the harder it tries to keep everyone even.  

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Capacity alerts when utilization gets lopsided

The capacity view flags technicians above 95% utilization and below 50%. It also surfaces skill shortages and unmet demand. When you check the dashboard, the problems are already named: who’s overloaded, who has room, and which skills are stretched thin.

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Utilization tracked per tech, per skill

The capacity calculator breaks down scheduled vs available hours by technician and by skill type. If your plumbing team is overloaded while electrical has room, the data shows it. No spreadsheets, no guessing.

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An assistant who rebalances before burnout starts

Your dispatch assistant can monitor utilization daily. When one tech hits 95% three days running while another sits at 50%, the agent redistributes tomorrow’s jobs before the pattern becomes a retention problem. Set the rules: max utilization threshold, minimum rest between heavy days, skill-type caps. The assistant checks every evening and either re-optimizes the next day’s schedule or flags the imbalance for your dispatcher. No one needs to watch a dashboard every afternoon; the agent watches it for them.

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Daily job caps that stick

Max 5 jobs per tech on a normal day. Fewer on travel days. The solver respects these limits every time it builds the schedule. No manual overrides, no “just one more.” Your techs know what to expect when they check the board.

Equal Job Counts vs. Workload Balancing Software

Fair distribution means equal hours, not equal job counts.

Equal Job Counts

Equal Job Counts

  • 6 jobs each, done. Ignores drive time and complexity
  • Three quick inspections ≠ three full installations
  • One tech finishes at 2 PM. Another is still working at 7 PM
  • Burnout shows up as turnover months later
  • The dispatcher guesses who has room for one more
Workload Balancing Software

Workload Balancing Software

  • Measures scheduled hours vs available hours, real utilization
  • Per-skill tracking so specialized techs don’t get overloaded quietly
  • Alerts at 95% overutilization. Underutilization flagged at 50%
  • 4-week forecasting flags problems before they become resignations
  • Daily job caps enforced by the solver, not by memory

How a cleaning company stopped losing crews to “equal” scheduling

8 cleaning crews. 5 jobs each. Equal on paper.

6:30 AM Morning load

Downtown crews finish by 3 PM (short drives, small apartments). Suburban crews still out until 7 PM (long drives, large homes). Same 5 jobs. Four extra hours of work.

3:00 PM Hidden Gap

Operations manager opens workload view. Green bars downtown, red bars in the suburbs. Downtown at 60% utilization. Suburbs at 97%.

6:45 AM Next Day

Downtown crews pick up a 6th job. Suburban crews drop to 4 with longer buffers.

Week Later Balanced Finish

Every crew finishes between 4:30 and 5:15 PM. No overtime. No idle trucks. Workload bars all in the same range for the first time.

dispatcher.fieldcamp.ai

Works with what you already run

ServiceTitan

Sync job durations, tech availability, and skill tags. Balanced schedules push back with correct assignments.

Jobber

Pull job complexity and crew capacity. Workload-optimized schedules write back so techs see fair distribution.

Housecall Pro

Import jobs with time estimates. Utilization-balanced assignments push back with accurate ETAs.

REST API

Full control over capacity settings, job caps, and balance weights. Build custom dashboards from workload data

READY?

Give every technician a fair workload with AI Dispatch

See every tech’s real utilization in one view. Hit optimize

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