From Backlog Chaos to Workflow Clarity: How We Transformed Jira with Power Automate Process Mining

Jira is the central tool for many teams when it comes to managing software and IT projects. But over time, the same patterns keep emerging: the backlog grows, tickets sit untouched – and no one can quite explain why. The boards are full, but actual progress? Barely visible. Meetings are based on assumptions. And transparency? Nowhere to be found.

When Jira Boards Are Full but Progress Stalls

We know this situation all too well – and we wanted to find out: is it really about team performance? Or could hidden process gaps be the cause?

The answer was closer than expected – and it could be made visible in just a few clicks by applying Power Automate Process Mining to Jira data.

When the To-Do List Tells Only Half the Truth

No doubt about it: Jira is powerful. But as the number of tickets and interactions grows, so does the number of blind spots:

• Issues linger in the backlog for a long time without a clear next step.

• Status changes happen in an unstructured way or are overlooked.

• Manual tracking becomes an error-prone time sink.

The result: everyone is busy, but no one can see at a glance where things are really stuck. Why are stages being skipped? Why do tickets close without visible progress? And what actually happens between “In Progress” and “Done”?

From Gut Feeling to Clear Process Insights – Our Demo Setup

We no longer wanted to speculate – we wanted to understand how our processes actually run.

So we built a setup – with Power Automate Process Mining and Jira data:

• Automated data export from Jira: status changes, timestamps, responsibilities

• Data storage in Microsoft Dataverse

• Visualization in the Process Mining tool – to make the actual workflows visible

And even with test data, the first results were astonishing.

What the Process Visualization Showed Us

At first glance, it became clear how many weak spots hide in everyday work:

• 102 out of 112 issues got stuck in the backlog.

• Only a single ticket reached the “Done” status.

• Several tickets skipped active processing stages entirely – from “Backlog” straight to “Closed”.

• Loops and waiting times were clearly visible – processes drifting back and forth without direction.

This clarity revealed how effective process mining can be at uncovering bottlenecks – even in a simulated environment.

Simple Analysis, Big Impact

Although this was carried out only in a test environment, one thing became clear: with real process insights, improvement becomes structured, measurable, and scalable.

The next step is now rolling it out in our own production environment – with the goal of accelerating our processes.

Why This Is Relevant for Other Teams, Too

Many companies that use Jira (or comparable tools) know the feeling: a lack of transparency, inconsistent workflows, and unclear bottlenecks.

Process mining shows not only what isn’t working – but where exactly to take action. With the Microsoft Power Platform, these insights can be translated directly into automated measures – without throwing existing systems overboard.

And this goes far beyond Jira: automating handovers, predicting delays with AI, visualizing the entire project portfolio with Power BI – all based on real, system-backed data.

Curious What’s Hiding in Your Processes?

If your backlog feels like a black hole, or your delivery cycles keep getting longer for no apparent reason – it’s time to switch from assumptions to facts.