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Datto 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 Datto 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.

Datto Autotask LiveReports Designer with Express (quick) and Standard (advanced) report creation. Pre-built Standard reports by category. Dashboard widgets with auto-refresh. 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 Datto's data exports.

Datto is best for: MSPs who need the most powerful built-in reporting and are invested in the Datto/Kaseya ecosystem.

How to Use This Template

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

How to Export Ticket Data from Datto

To populate this report template with real data from Datto Autotask, follow these steps to export your ticket data:

  1. Navigate to Service Desk > Ticket Search
  2. Configure field filters and date range
  3. Click Search to display results
  4. Click Export to download results as CSV
  5. For reports: use Reports > LiveReports to create custom reports and export

API alternative: REST API, legacy SOAP API, Webhooks, and Data Warehouse access. Postman collection available.

Why Datto MSPs Need This Report

LiveReports Designer with Express (quick) and Standard (advanced) report creation. Pre-built Standard reports by category. Dashboard widgets with auto-refresh.

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

Datto Strengths

  • LiveReports engine is the most powerful native reporting in any PSA
  • Deepest integration within the Datto/Kaseya ecosystem
  • 170+ integration hub partners with open-architecture API

Reporting Limitations

  • Declining product quality and support since Kaseya acquisition
  • Outdated GUI; mobile app is limited in functionality

Download This Template

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Datto Ticket Analysis FAQ

How do I export ticket analysis data from Datto?
Navigate to Service Desk > Ticket Search. Configure field filters and date range Click Search to display results See the full export guide above for detailed steps.
Does Datto have built-in client reporting?
LiveReports Designer with Express (quick) and Standard (advanced) report creation. Pre-built Standard reports by category. Dashboard widgets with auto-refresh. This template complements Datto'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 Datto?
Datto'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. Datto also offers REST API, legacy SOAP API, Webhooks, and Data Warehouse access. Postman collection available.
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.