“Average Task Cycle Time”
Autotask PSA Datto RMM Datto Backup Microsoft 365 SmileBack HubSpot IT Glue All reports
AI-GENERATED REPORT
You searched for:
How long does an average completed task take from creation to completion, and which departments lead or lag the cycle?

Average Task Cycle Time

A data-driven analysis of average task cycle time from your Power BI environment, with breakdowns and actionable findings.

Built from: Autotask PSA
How this report was made
1
Autotask PSA
Multiple data sources combined
2
Proxuma Power BI
Pre-built MSP semantic model, 50+ measures
3
AI via MCP
Claude or ChatGPT writes DAX queries, executes them, formats output
4
This Report
KPIs, breakdowns, trends, recommendations
Ready in < 15 min
Want to run this report against your own Autotask PSA data?
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Average Task Cycle Time

This report analyzes average task cycle time using data from Autotask PSA.

The data covers the full scope of Autotask PSA records relevant to this analysis, broken down by the key dimensions your team needs for day-to-day decisions and client reporting.

Who should use this: Project managers, operations leads, and MSP owners tracking delivery

How often: Weekly for status updates, milestone dates for escalation, monthly for portfolio review

Time saved
Assembling project status from multiple tools and conversations takes hours. This report pulls it together.
Delivery visibility
Milestone progress, budget variance, and timeline risks across all active projects.
Client communication
Project status data formatted for client-facing updates and steering meetings.
Report categoryProject Management
Data sourceAutotask PSA · Datto RMM · Datto Backup · Microsoft 365 · SmileBack · HubSpot · IT Glue
RefreshReal-time via Power BI
Generation timeUnder 15 minutes
AI requiredClaude, ChatGPT or Copilot
AudienceProject managers, operations leads
Where to find this in Proxuma
Power BI › Projects › Average Task Cycle Time
What you can measure in this report
Summary Metrics
Analysis
Recommended Actions
Frequently Asked Questions
AI-Generated Power BI Report
Average Task Cycle Time

A data-driven analysis of average task cycle time from your Power BI environment, with breakdowns and actionable findings.

Demo Report: This report uses synthetic data to demonstrate AI-generated insights from Proxuma Power BI. The structure, DAX queries, and analysis reflect real MSP data patterns.
1.0 Summary Metrics
View DAX Query — Summary query 
EVALUATE
ROW(
    "TotalTasks", COUNTROWS(BI_Autotask_Tasks),
    "AvgEstimatedHours", AVERAGE(BI_Autotask_Tasks[proxuma_estimated_in_hours]),
    "AvgActualHours", AVERAGE(BI_Autotask_Tasks[proxuma_actual_in_hours]),
    "TotalWorkedHours", SUM(BI_Autotask_Tasks[worked_hours]),
    "AvgBillableHours", AVERAGE(BI_Autotask_Tasks[billable_hours]),
    "CompletionRate", DIVIDE(
        CALCULATE(COUNTROWS(BI_Autotask_Tasks), BI_Autotask_Tasks[status] = 5),
        COUNTROWS(BI_Autotask_Tasks))
)
What are these DAX queries? DAX (Data Analysis Expressions) is the formula language Power BI uses to query data. Each collapsible section below shows the exact query the AI wrote and ran. You can copy any query and run it in Power BI Desktop against your own dataset.
2.0 Analysis

What the data is telling us

The data above paints a picture of average task cycle time across your MSP operations. Look for patterns, outliers, and trends that warrant attention. Each section includes the DAX query used, so you can drill deeper into any metric that catches your eye.

3.0 Recommended Actions
✓

1. Schedule Recurring Review

Set up a weekly or monthly review of average task cycle time metrics. Trends matter more than snapshots. Use the DAX queries in this report as your starting point.

✓

2. Connect Your Own Data

This report uses demo data. Connect Proxuma Power BI to your own Autotask PSA to generate this analysis from your real numbers.

4.0 Frequently Asked Questions
What data sources does the Average Task Cycle Time report use?

This report pulls data from PSA through the Proxuma Power BI integration, using DAX queries against the live data model.

How often is this data refreshed?

The underlying Power BI dataset refreshes daily. Reports can be regenerated at any time for the latest figures.

Can I customize this average task cycle time report?

Yes. Proxuma reports are fully customizable. You can modify the DAX queries, add new sections, or adjust the analysis to match your specific MSP needs.

Proxuma Power BI · AI-Generated Report · proxuma.io/powerbi Generated in < 15 minutes via MCP · March 2026
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