Process Mining - Analyze and Optimize Jira Workflows and Processes

Process Mining is a widely used technology to model, analyze, and optimize business processes.  In the age of digital automation, Process Mining is an essential component for organizations wanting to gain a competitive edge in their digital transformation journey.

Process Mining extracts the events associated with a process and provides an x-ray visualization into how a process is functioning.  This enables the rapid detection of performance problems, compliance issues, and opportunities for automation in your Jira workflows and associated processes.  

Appying Process Mining to Jira, the events processed are contained in the issue history, including changes related to status, assignee, group, priority, etc.  To see how this works, let’s look at a typical workflow confirmation in Jira, workflows representing the activities in a process.  Here’s a workflow for Incidents;

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When Process Mining is applied to the actual resolution of incidents associated with the Incident workflow, the reality of a workflow, as seen below, is very different. The same can be said for all Jira issue types including Epics, Stories, Bugs, Service Requests, Changes, etc.

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The visualizations and analytics provided by Process Mining focus on Variants, Activities and Steps:

  • An activity is something that occurs during the resolution of an issue, for example a status change
  • A step, sometimes referred to as a transition, is an event occurring during issue resolution where the is a change from one activity to another
  • A variant is a distinct set of activities that occurs in the resolution of an issue. 

By generating detailed data and analytics on the different Variants, Activities and Steps involved in issue resolution, just some of benefits of Process Mining include:

  • Identifying non-compliant steps and variants and analyzing the characteristics of issues associated with non-compliance.  
  • Identifying automation opportunities in your workflows and processes. For example steps with a low standard deviation can be marked for automation, or types of issues that consistently have steps with a short duration.
  • Detailed root cause of performance problems with issue resolution, enabling you to understand why certain types of issues take longer to resolve than others, through cluster and influence analysis. 
  • Applying automated discovery to tell you types of issues that are resolved in unusual ways, for example, workflow variants with more than x different activities or steps, or variants that contain loops (re-work represented by the same step occurring twice)

The Process Optimizer for Jira  application brings enterprise Process Mining capabilities to Jira, along with advanced Time in Status (Activity), automatic detection of workflow problems and improvement opportunities and recommendations on how to fix your processes and workflows.    Drive productivity and efficiency within your organization by adopting the leading technology involved in digital automation – Process Mining.

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Jan Szczepanski July 30, 2024

This tool is absolutely incredible for analysing business processes. It gives organisations the ability to make fact-based decisions on how to optimise their business processes and helps them get a better perspective on their business processes!

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