IT Process Optimization

IT Process Optimization

Start with evidence from your service desk. Ticket histories show how often incidents change hands, whether priorities shift unexpectedly, and how many SLA breaches happen without a related reclassification. Process mining connects these patterns to resolution times and service outcomes, giving you a sound basis for KPIs your leadership can trust.

What can ticket history reveal about incident handling?

Start by checking three patterns:

• Reassignments per case: Count how often an incident moves between teams or agents. Repeated handoffs may signal unclear ownership, routing problems, or missing information.
• Priority inversion: Track priority changes throughout an incident’s lifecycle, in either direction. Compare them with resolution times and SLA outcomes.
• Breaches that never get reclassified: Find incidents that breach an SLA without a related priority or status change. Reports that rely on reclassification to flag problems may miss these cases.

These are questions ticket history can answer, not assumptions about your team. What you can confirm depends on the fields and timestamps in your export.

How does process mining support IT process optimization?

Process mining reconstructs ticket flows from event data. Compare the paths incidents actually take, find where they wait or return for rework, and see how outcomes vary by service, team, priority, or other available attributes.

For incident resolution time analysis, look beyond total duration. If the data allows, separate active work from waiting time. Then check which handoffs and process variants are associated with longer resolution times or missed SLAs.

This analysis complements your ITSM tool. It does not replace the system you use to manage tickets and record service work.

Which ITIL practices can you examine?

ITIL defines practices for service management. Process mining helps you examine the event data related to those practices and compare actual ticket flows with your documented process.

Use the findings to guide process discussions. Data shows where a pattern occurs, but service owners need to identify the cause and decide what to change.

What can you measure across ITSM processes?

With a suitable event log, you can define KPIs for:

• Incident resolution time and SLA attainment
• Reassignments and handoffs per case
• Priority changes and their relationship to breaches
• Reopenings and rework
• Request approval and fulfilment time
• Change outcomes and process variants
• Throughput and workload trends

Agree on KPI definitions before comparing teams or reporting results. Specify the case scope, start and end events, and SLA rules so everyone interprets the measures consistently.

How do you turn analysis into improvement?

Start with a question your service team needs to answer. For example: Which incident types are reassigned most often? Where do SLA breaches happen? Which request steps have the longest waits?

Then:

1. Export ticket history with a case identifier, activity names, timestamps, and relevant attributes.
2. Check that the event data represents the process you want to analyze.
3. Review the discovered process flow and compare variants by outcome.
4. Define KPIs with the people accountable for the service.
5. Use the evidence to assess possible process changes.

Process mapping documents the intended flow and makes differences from observed behavior easier to discuss. Simulation helps you compare proposed scenarios before implementing a change. It does not execute the change.

How can you build KPIs leadership trusts?

Make every KPI traceable to its source data and definition. Document which events count, how you handle missing timestamps, what qualifies as an SLA breach, and how priority changes affect reporting.

Use consistent definitions to compare periods or teams. If ticket history does not capture a key event, state that limitation rather than presenting the metric as complete. Clear definitions and caveats give leaders a stronger basis for decisions than a dashboard without context.

See how to build process dashboards and KPIs

What data do you need to get started?

Start with an incident or request export that includes:

• A stable ticket or case identifier
• Activity names or status changes
• Event timestamps
• Relevant fields such as priority, assignment group, service, and SLA outcome, when available

Load ServiceNow and Jira exports directly, with no integration work required. What you can analyze depends on the fields in your export and how consistently they are recorded. Then use ProcessMind to validate the mapping, calculate your first KPIs, and build a trend dashboard.

How should you choose your first analysis?

Choose one service desk process and one question. You could start with incident reassignment patterns or SLA breaches that do not appear in priority changes. Validate the event data, agree on KPI definitions, and review the results with the service owner before expanding to other ITSM processes.

For a practical overview of ITIL and process mining, read the ITSM and process mining guide. You can also learn how to analyze a process and find bottlenecks.

To set thresholds and monitor process health, see the process health documentation.

Mine your incident or request flow from the ticket export