You needed another engineer two weeks ago
Your team is stretched. Response times are slipping. Engineers are working evenings.
By the time you feel the pain, you’re already six weeks behind. Hiring takes time. The MSPs who stay ahead track leading indicators that tell them to start recruiting before the queue gets ugly.
The scenario:
You want to build a capacity model that signals when to hire before your team is overwhelmed.
The prompt:
You’re creating a hiring trigger model from PSA data.
Data: [paste your ticket volume, engineer count, and utilisation trends for the past 6 months]
Build a model that tracks:
Tickets per engineer per week (trending over 3 months)
Average resolution time trend (early warning of overload)
After-hours work percentage (burnout indicator)
SLA near-miss rate trend
Client-to-engineer ratio compared to industry benchmarks
Define specific thresholds that trigger: start recruiting, make offer, emergency contractor.
Present as a one-page dashboard for monthly ops review.