MSP Analytics: What Your Employer's Dashboards Actually Track About You
The 47 Metrics You Never See
Your MSP tracks everything. Every ticket you touch, every minute you log, every email you send, every time you clock in and out. Most of this data flows into a PSA (Professional Services Automation) tool β ConnectWise, Autotask, Kaseya BMS, or similar β that generates dashboards your manager reviews weekly, if not daily.
Based on data from 60+ MSP profiles on this site and interviews with operations managers, here are the metrics that actually matter to your employer.
The Core Dashboard
Utilisation Rate (The #1 Metric)
What it measures: Billable hours Γ· total available hours
Target: 70-85% (varies by role level)
Why it matters: This single number determines whether you're profitable for the MSP. At $250/hour billing rate, every percentage point of utilisation below target costs the MSP roughly $5,000 per year in lost revenue.
How managers use it: - Below 65% β flagged for performance review - 65-70% β monitored, expected to improve - 70-80% β acceptable - 80%+ β profitable, but burnout risk
Ticket Volume & Velocity
What it measures: Tickets resolved per day/week, average time to close
Target: Highly variable by tier (L1: 8-12/day, L2: 4-6/day, L3: 2-3/day)
The gaming problem: Engineers who close tickets fast tend to have higher reopen rates. Smart engineers learn to batch related fixes into single tickets, keeping velocity high without sacrificing quality.
First Response Time (FRT)
What it measures: Time between ticket creation and first human response
Target: Under 15 minutes for critical, under 1 hour for standard
The trap: Fast FRT without resolution just kicks the can. Some MSPs reward FRT over resolution, encouraging engineers to fire off "investigating" responses rather than fixing things properly.
Net Promoter Score (NPS) & Client Feedback
What it measures: Client satisfaction scores, usually collected after ticket closure
Target: 9+ out of 10
The reality: NPS is gamed by both clients and engineers. Some engineers proactively ask satisfied clients for high scores. Some clients punish engineers for delivering bad news.
The Hidden Metrics
These metrics don't appear on your personal dashboard but inform every decision about your career:
| Hidden Metric | What It Really Tracks |
|---|---|
| Escalation rate | How often you pass tickets up β inversely correlated with perceived competence |
| Reopen rate | Ticket quality β high reopen rate suggests rushed or incomplete fixes |
| After-hours ratio | % of total work done after 6pm β used for burnout risk, also for promotion signals |
| Billable vs non-billable | Ratio of chargeable to internal work β training reduces this |
| Cross-client coverage | How many different client environments you support β specialisation vs generalisation |
| Peer review score | Anonymous or semi-anonymous ratings from colleagues |
| Timesheet accuracy | How closely logged time matches expected effort β proxy for honesty |
How to Use This Knowledge
Don't Optimise the Wrong Thing
The classic MSP trap: engineers realise they're being measured on ticket closure speed, so they close tickets fast. Clients reopen them. The engineer gets dinged on reopen rate. Now they look worse.
What actually works:
- Understand weighting β Ask your manager: "Which metrics matter most for my role?" If they can't answer, that's a red flag.
- Document non-billable work β Internal improvements, documentation, knowledge base contributions β log it all. If it's not in the system, it didn't happen.
- Build relationships with clients β High NPS from 3-4 key clients creates a buffer for everything else.
- Manage your utilisation curve β Early in the cycle, take on more billable work. If you're over 80% for months, you're being overworked.
- Ask for your own dashboard β Transparent MSPs share your metrics with you. If they won't, they're hiding something.
The Red Flag Dashboard
When your MSP tracks these, update your CV:
- Keystroke monitoring or mouse tracking software
- Screen capture at random intervals
- Real-time productivity scores
- Automated warnings for idle time (bathroom breaks, thinking)
These tools exist (see: Time Doctor, Hubstaff, Teramind). Their presence suggests a trust deficit that no amount of performance optimisation will fix.
What to Ask at Your Next Review
Instead of asking for a raise directly, ask:
"Can you show me my dashboard? I want to understand which metrics I should focus on to grow in this role."
If they show you real data, you have leverage. If they deflect, you know they're managing by gut feel β and you're being evaluated on criteria you can't see.
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