“Overdue Ticket Report: Every Open Ticket Has Missed Its Deadline”
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Overdue Ticket Report: Every Open Ticket Has Missed Its Deadline

Built from: Autotask PSA
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1
Autotask PSA
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2
Proxuma Power BI
Pre-built MSP semantic model, 50+ measures
3
AI via MCP
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Overdue Ticket Report: Every Open Ticket Has Missed Its Deadline

This report provides a detailed breakdown of overdue ticket report: every open ticket has missed its deadline for managed service providers.

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: Service desk managers, dispatch leads, and operations teams

How often: Daily for queue management, weekly for trend analysis, monthly for capacity planning

Time saved
Manual ticket analysis requires exporting data and building pivot tables. This report does it automatically.
Queue health
Stuck tickets, aging backlogs, and escalation patterns become visible at a glance.
Process improvement
Data-driven decisions about routing, staffing, and escalation rules.
Report categoryTicketing & Helpdesk
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
AudienceService desk managers, dispatch leads
Where to find this in Proxuma
Power BI › Ticketing › Overdue Ticket Report: Every Open Tic...
What you can measure in this report
Overdue Ticket Summary
Overdue Severity Bands
Overdue Tickets by Priority
Overdue Response Playbook
Frequently Asked Questions
Total overdue tickets
Overdue >31 days
P1-Critical overdue
With due date set
SLA & Deadline Analysis — Overdue Tickets
Dataset: Autotask PSA (Demo)
Filter: due_datetime < NOW() and not complete
Generated: Proxuma Power BI
Sources: Autotask PSA
Overdue Ticket Report: Every Open Ticket Has Missed Its Deadline
All 844 open tickets are past their due date. 818 are more than a month overdue. This report shows the severity breakdown, priority distribution, and how to use Power BI to build a real-time overdue alert dashboard.
Demo data notice: This dataset uses frozen January 2026 data. All open tickets appear overdue because the demo is not live-refreshed. In production, the Tickets - Overdue measure automatically filters to due_datetime < NOW(), giving you a live, accurate count.
01
Overdue Ticket Summary
Open tickets where due_datetime has passed with no resolution
Total overdue tickets
844
1.2% of all tickets still open
Overdue >31 days
360
42.7% of open tickets past resolution deadline
P1-Critical overdue
107
12.7% past first response deadline
With due date set
844
100% have a due date
View DAX Query — Overdue ticket count (live measure)
EVALUATE ROW("TotalTickets", COUNTROWS('BI_Autotask_Tickets'), "OpenTickets", CALCULATE(COUNTROWS('BI_Autotask_Tickets'), 'BI_Autotask_Tickets'[status_name] <> "Complete"), "OverdueResolution", CALCULATE(COUNTROWS('BI_Autotask_Tickets'), 'BI_Autotask_Tickets'[resolved_due_age_days] > 0), "OverdueFirstResponse", CALCULATE(COUNTROWS('BI_Autotask_Tickets'), 'BI_Autotask_Tickets'[first_response_due_age_days] > 0))
02
Overdue Severity Bands
How far past the due date are these tickets?
818
Overdue >31 days
96.9% of all overdue
23
Overdue 14–31 days
2.7% of all overdue
3
Overdue 7–14 days
0.4% of all overdue
Overdue >31 days
818 — 96.9%
Overdue 14–31 days
23 — 2.7%
Overdue 7–14 days
3 — 0.4%
View DAX Query — Overdue tickets by severity band
EVALUATE
SUMMARIZECOLUMNS(
    'BI_Autotask_Tickets'[due_date_age_category],
    FILTER(
        ALL('BI_Autotask_Tickets'),
        ISBLANK('BI_Autotask_Tickets'[complete_datetime]) &&
        NOT(ISBLANK('BI_Autotask_Tickets'[due_datetime]))
    ),
    "Count", COUNTROWS('BI_Autotask_Tickets')
)
ORDER BY 'BI_Autotask_Tickets'[due_date_age_category] ASC
03
Overdue Tickets by Priority
Which priority levels represent the most critical SLA breaches?
5
P1 — Critical
19
P2 — High
90
P3 — Medium
556
P4 — Low
174
Service / Change
PriorityOverdue Count% of TotalSLA Breach Severity
P1 — Critical50.6%Escalate now
P2 — High192.3%Review today
P3 — Medium9010.7%This week
P4 — Low55665.9%Batch triage
Service / Change17420.6%Schedule review
View DAX Query — Overdue tickets by priority
EVALUATE
SUMMARIZECOLUMNS(
    'BI_Autotask_Tickets'[priority_name],
    FILTER(
        ALL('BI_Autotask_Tickets'),
        'BI_Autotask_Tickets'[due_datetime] < NOW() &&
        NOT(ISBLANK('BI_Autotask_Tickets'[due_datetime])) &&
        ISBLANK('BI_Autotask_Tickets'[complete_datetime])
    ),
    "Overdue Count", COUNTROWS('BI_Autotask_Tickets')
)
ORDER BY [Overdue Count] DESC
04
Overdue Response Playbook
A structured approach to clearing an overdue backlog
P1

P1 Critical: 5 tickets — escalate before the day ends

These are your most severe SLA breaches. Assign an owner, contact the customer directly, and document what resolution looks like. P1 overdue tickets should never be resolved in a batch session — each needs individual attention and a proactive customer communication today.

P2

P2 High: 19 tickets — review and update status by end of week

These 19 tickets are high-priority and past their promised deadline. Pull them into your service manager’s dashboard, assign specific technicians, and set a new realistic due date. If they’re blocked on a third party, update the status so the customer knows the current state.

90

P3 Medium: 90 tickets — schedule a triage sprint this week

Ninety medium-priority tickets past their due date is a significant backlog. Dedicate one triage session to classify each as: still-valid and re-dated, resolved and ready to close, or stale and safe to close. Aim to reduce this bucket by 50% in one session.

556

P4 Low + Service/Change: 730 tickets — bulk triage over two weeks

The bulk of overdue tickets are low-priority or service requests. Many of these can be closed in a single bulk operation once assessed. Build a filter in Power BI to show only P4/SVC tickets older than 60 days and review them in a weekly 30-minute session until the number is manageable.

05
Frequently Asked Questions
Common questions about overdue ticket management
How does this differ from the SLA Met vs Unmet report?

The SLA Met vs Unmet report measures first response and resolution SLA compliance across all tickets (including completed ones). This overdue report focuses only on currently open tickets that have missed their due date. The two reports work together: SLA compliance shows your historical performance, while this overdue dashboard shows your current obligations that need attention now.

Can I get an alert when a ticket becomes overdue?

Yes. In Autotask, you can set up workflow rules that trigger notifications when due_datetime passes without completion. In Power BI, you can configure data-driven alerts on a dashboard tile showing the Tickets - Overdue measure, so your service manager gets a notification whenever the count exceeds a threshold you define.

Should I extend the due date or close overdue tickets?

It depends on the ticket state. If the work is still genuinely needed and in progress, update the due date to a realistic new date and notify the customer. If the issue has been resolved informally but never closed in the system, close it now and log the actual resolution. If the request is outdated or the customer has moved on, close it with a note. Never extend due dates mechanically just to clear the overdue count.

How often does this report refresh in Power BI?

With Proxuma’s Power BI integration, the overdue ticket count updates automatically with each dataset refresh. Depending on your plan, this can be as frequent as every 15 minutes. The Tickets - Overdue measure uses NOW(), so the count updates in real time on any live-connected dashboard — without needing a full dataset refresh.

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