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Analytics & KPIs

RepairOps provides comprehensive analytics and dashboards to track shop performance in real-time. Monitor revenue, throughput, turnaround time, QC quality, and technician performance. Pro tier unlocks AI insights and PDF reports.

Shop-Level Dashboards Starter

Section titled “Shop-Level Dashboards ”

The main KPI Dashboard displays key performance indicators for your shop:

KPIWhat It Measures
RevenueTotal repair revenue (labor + parts) this month
ThroughputTickets completed this month
Average TurnaroundDays from intake to pickup (median)
QC Pass Rate% of devices passing QC on first attempt
Customer SatisfactionAverage rating (if using feedback plugin)
Labor MarginLabor revenue as % of total revenue
Parts MarginParts revenue as % of total revenue
Overdue TicketsTickets past expected completion date

View: Navigate to AnalyticsShop Dashboard

Each KPI shows:

  • Current value
  • Trend (up/down/flat) vs. last month
  • Sparkline chart (7-day rolling view)
  • Comparison to shop average (if multiple techs)
Reports and analytics overview — daily reports, tax reports, and payment breakdowns RepairOps Analytics dashboard with revenue, throughput, and turnaround metrics

See shop activity across a selected date range:

  1. Click AnalyticsTimeline
  2. Select date range (7 days, 30 days, quarter, custom)
  3. View:
    • Daily revenue trend
    • Tickets completed each day
    • Average turnaround over time
    • QC pass rate trend
    • Busiest days/slowest days
RepairOps Heartbeat monitor showing real-time shop activity

Each technician can view their own performance:

  1. Click AnalyticsMy Performance
  2. View your 7-day rolling stats:
    • Tickets completed
    • Average turnaround
    • Average job value
    • QC pass rate
    • Customer feedback rating
    • Hours worked (if time tracking enabled)

Comparison view shows how your metrics compare to shop average (anonymously).

Managers can view all technician performance:

  1. AnalyticsTechnician Performance
  2. Select date range
  3. View table sorted by metric (default: revenue)
  4. Sparklines show 30-day trend for each tech

Key metrics:

  • Revenue generated
  • Tickets completed
  • Average job value
  • QC pass rate
  • Customer satisfaction
  • No toxic leaderboards — focus is on trends and improvement, not ranking

This view helps identify training needs (e.g., tech with low QC pass rate or high turnaround).

RepairOps automatically collects KPI data via a nightly snapshot worker:

When: Every night at 2 AM (shop timezone)

What’s collected:

  • Daily revenue (by labor, parts, services)
  • Tickets completed
  • Avg. turnaround
  • QC pass rate
  • Time spent by category (diagnostics, repair, QC)
  • Customer satisfaction scores
  • Technician performance metrics

Why snapshots: Instead of recalculating metrics every time you load the dashboard, RepairOps pre-calculates and stores snapshots. This makes dashboards fast (instant loading) and enables time-series analysis.

Data retention: Snapshots are kept for 2 years (26 weeks + historical archive).

Every week, receive automated insights powered by AI:

When: Every Monday at 8 AM (manager’s timezone)

What you receive:

  • Top 3 repair categories this week
  • Technician performance trends
  • Issues flagged for improvement
  • Customer sentiment summary
  • Recommended actions (e.g., “High QC failure rate on GPU repairs — consider additional training”)

Where to access:

  1. AnalyticsManager Insights
  2. View current week’s report
  3. View past weeks
  4. Insights are also emailed to all managers

This is powered by your configured AI provider and requires AI credits.

RepairOps scores the quality of repair documentation:

Score factors:

  • Completeness (diagnostics logged, findings documented, actions taken noted)
  • Clarity (spelling, grammar, technical accuracy)
  • Evidence (photos, part numbers, test results attached)
  • Consistency (standard terminology, good formatting)

View:

  1. AnalyticsQuality Metrics
  2. Select Documentation Score
  3. Browse shop average and individual tech scores
  4. Drill into specific tickets to see what improves scores

Use case: Identify team members who need writing/documentation training. Celebrate high-quality documentation.

Generate professional reports for stakeholders:

  1. AnalyticsReports
  2. Select date range and metrics to include
  3. Click Generate PDF
  4. Customizable sections:
    • Executive summary
    • Revenue analysis
    • Technician performance
    • KPI trends
    • Recommendations

Export includes charts, tables, and executive summary. Useful for:

  • Investor presentations
  • Board meetings
  • Year-end reviews
  • Loan applications
RepairOps Day Report with daily revenue and ticket summary RepairOps Sales Tax Report RepairOps Payment Types breakdown report

Celebrate technician milestones with achievements:

BadgeCriteria
Speedster10 consecutive tickets with < 2-day turnaround
Quality Master30 consecutive days without QC failure
Expert100 tickets repaired in a category (e.g., “GPU Expert”)
Customer Favorite10 consecutive 5-star customer reviews
Night Owl20 after-hours repair sessions

Achievements are:

  • Displayed on technician profiles
  • Emailed to recipient
  • Announced in team chat (if enabled)
  • Tracked on manager dashboard

Achievements are meant to be encouraging, not competitive. No “worst” badges or negative comparisons.

All dashboards support filtering:

By date:

  • Today, yesterday, last 7/30/90 days, custom range

By technician:

  • Individual, team, entire shop

By category:

  • Device type (laptop, desktop, phone, etc.)
  • Issue type (hardware, software, damage, etc.)
  • Repair complexity (simple, moderate, complex)

By status:

  • Completed, in progress, overdue

Click a metric to drill down. For example:

  • Click Revenue → See breakdown by category
  • Click a category → See specific tickets and technicians

Export analytics data for use in external tools:

Supported formats:

  • CSV (import to Excel, Google Sheets, accounting software)
  • JSON (for custom integrations)
  • PDF (reports and executive summaries)

What can be exported:

  • Daily KPI snapshots (date range selectable)
  • Technician performance table
  • Customer satisfaction data
  • Revenue breakdown by category

Navigate to AnalyticsExport to select format and data range.

Feature Starter Pro Enterprise
Shop KPI dashboard
Timeline view
Personal tech dashboard
Tech performance (manager)
Nightly snapshots
AI manager insights
Documentation quality score
PDF export
Tech achievements
Drill-down filtering
Data export (CSV/JSON)

Review KPIs weekly — Don’t wait for monthly reports. Catch trends early and act on them.

Use dashboards to identify training needs — Low QC pass rate? High turnaround? It’s a training opportunity, not a failure.

Share insights with the team — Celebrate wins. If you hit 95% QC pass rate, let everyone know.

Set realistic goals — Track trends over months, not days. One slow week doesn’t mean the shop is declining.

Archive old reports — Keep final monthly reports for historical reference and tax/audit purposes.