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NinjaOne Ticket Analysis Report Template for MSPs

Deep-dive analysis of support ticket patterns, categories, resolution efficiency, and workload distribution to optimize MSP service delivery.

What's Included

Ticket Volume Overview
Category Breakdown
Priority Distribution
Resolution Time by Category
Recurring Issues Analysis
Technician Workload Distribution
Efficiency Recommendations

Why NinjaOne MSPs Need a Ticket Analysis

Ticket analysis reveals patterns your team might miss in daily firefighting. It helps you identify recurring issues to fix permanently, balance technician workload, and make data-driven staffing decisions.

NinjaOne (NinjaRMM) Two report styles: Summary (visual charts) and Data Table (up to 20 columns). Templates savable as Favorites. Export to CSV or PDF. However, these built-in reports are typically designed for internal operations — not for client communication. This template bridges that gap with a professional, client-ready format structured around NinjaOne's data exports.

NinjaOne is best for: MSPs who prioritize a clean, modern interface and best-in-class endpoint management, and already have a separate PSA.

How to Use This Template

Export ticket data from your PSA for the analysis period
Categorize tickets by type, priority, and resolution method
Identify the top 5 recurring issues and their total time cost
Analyze technician utilization and identify bottlenecks
Generate recommendations for process improvements

How to Export Ticket Data from NinjaOne

To populate this report template with real data from NinjaOne (NinjaRMM), follow these steps to export your ticket data:

Navigate to any Ticket Board in the NinjaOne console
Click the Export icon at the top of the board
Select Export — data downloads as CSV matching the current view
For formatted reports: go to Reporting > New Summary Report > Ticketing
Alternatively, open a single ticket, click the ... menu, and export

API alternative: REST API with OAuth2 auth. Endpoints for devices, organizations, tickets, alerts, and software inventory.

Why NinjaOne MSPs Need This Report

Two report styles: Summary (visual charts) and Data Table (up to 20 columns). Templates savable as Favorites. Export to CSV or PDF.

This template fills the gap by providing a professional, client-ready ticket analysis report format that you can populate with data exported from NinjaOne (NinjaRMM).

NinjaOne Strengths

Best-in-class modern UI — technicians are productive within hours
Superior patch management across Windows, macOS, and Linux
Built-in remote access eliminates need for third-party tools

Reporting Limitations

No built-in PSA — relies entirely on third-party integrations like ConnectWise or Autotask
Reporting lacks flexibility for custom client-specific formats

Download This Template

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NinjaOne Ticket Analysis FAQ

How do I export ticket analysis data from NinjaOne?

Navigate to any Ticket Board in the NinjaOne console. Click the Export icon at the top of the board Select Export — data downloads as CSV matching the current view See the full export guide above for detailed steps.

Does NinjaOne have built-in client reporting?

Two report styles: Summary (visual charts) and Data Table (up to 20 columns). Templates savable as Favorites. Export to CSV or PDF. This template complements NinjaOne's built-in reporting by providing a professional, client-ready format that non-technical stakeholders can easily understand.

Can I automate this ticket analysis with NinjaOne?

NinjaOne's built-in automation can schedule data exports, but assembling a professional client-facing report still requires manual formatting. This template handles the presentation layer — you provide the data. NinjaOne also offers REST API with OAuth2 auth. Endpoints for devices, organizations, tickets, alerts, and software inventory.

How often should I run ticket analysis?

Monthly at minimum, weekly for high-volume environments. The more frequently you analyze, the faster you catch emerging patterns.

What's a healthy ticket resolution time?

For MSPs: critical tickets under 4 hours, high priority under 8 hours, normal under 24 hours. But your SLA targets should define your specific benchmarks.

How do I identify recurring issues?

Group tickets by category and search for patterns. If the same issue appears 3+ times in a month, it's a candidate for a permanent fix or automation.

Should I share ticket analysis with clients?

Share a summarized version highlighting improvements and proactive work. Keep the internal operational details for your team's eyes only.