The Human Side of Process Mining: What the Data Won’t Tell You
#HRRealTalk
If you've spent any time around HR Shared Services in the last few years, you've probably heard the same message:
"Let the data tell you where to optimize."
"Process mining will show you the truth."
"The dashboard will highlight the friction."
And to be fair, it does. Process intelligence tools are powerful. They surface bottlenecks, rework, delays, and patterns at a level we couldn't see before.
But here's what I've learned the hard way: Some of the most important friction points never show up in the data. Because not all friction is process-based. Some of it is human.
Let's talk about that.
1. The Workarounds No One Logs
Process mining shows you what happened in the system. It doesn't show you everything that happened around it.
The side conversations.
The Slack messages.
The "quick favor" requests.
The manual fixes someone made to avoid escalating an issue.
I've seen teams look at a clean, efficient process flow on a dashboard… while behind the scenes, HRBPs and HRSS teams were quietly working around it to make it function in reality. From a data perspective, everything looked optimized. From a human perspective, it was exhausting.
I remember reviewing a dashboard that looked almost perfect. Cycle times were down, error rates were low, everything was trending in the right direction.
But when I sat with the team, they told a completely different story: "We fix most of it before it hits the system."
They were double-checking entries, following up offline, and resolving issues early because they already knew where the process would break. None of that showed up anywhere, but it was the only reason the process looked like it was working.
Early sign you have this problem?
Your process looks efficient, but your team feels burned out. That's not a performance issue. That's hidden work.
If I could go back, I would have paired process mining reviews with something simple: asking the team, "What are you doing that the system doesn't see?" That question alone surfaces more truth than most dashboards.
2. The Friction People Stop Reporting
Not all friction gets escalated. In fact, the longer a team operates in a broken process, the more likely they are to normalize it.
They stop logging tickets. They stop flagging delays. They just… adjust.
Process mining will show you where activity slows down. It won't show you where people have quietly given up on fixing it.
I've walked into environments where leaders said, "We're not seeing many issues in this process." But when you talk to the team, you hear a very different story: "We stopped raising it. Nothing changes." That gap between what's reported and what's experienced is where trust starts to erode.
Early sign you have this problem?
Low escalation rates paired with high frustration in conversations. That's not stability. That's disengagement.
3. The "Why" Behind the Delay
Process mining is very good at answering what is happening. Where things slow down. Where approvals get stuck. Where rework occurs.
It's not designed to tell you why.
Why did the HRBP bypass the process? Why did a leader push for an exception? Why did someone sit on an approval for three days?
Sometimes the answer is capability. Sometimes it's unclear ownership. Sometimes it's competing priorities. And sometimes… it's because the process itself doesn't match how the business actually operates.
If you only optimize based on the "what," you risk making a broken experience faster. I've seen organizations celebrate cycle time improvements while stakeholder frustration stayed exactly the same. Because the root issue wasn't speed. It was clarity.
What I Wish I Had Done Earlier
I'm a big believer in process intelligence. I've used it. I've invested in it. It works. But I would approach it differently now.
Three shifts that make it more real, and more useful:
1. Pair data reviews with human insight.
Do not review dashboards in isolation. Bring in HRBPs, HRSS team members, and even business stakeholders. Ask where the data feels incomplete.
2. Look for absence, not just activity.
Where are there no tickets? No escalations? No noise? Silence in a system can be just as telling as volume.
3. Validate before you optimize.
Before redesigning a process, ask: "Does this reflect how work actually gets done?" If the answer is no, you are optimizing a version of reality that doesn't exist.
Challenging a Bit of Conventional Wisdom
We often say, "Trust the data." And we should. But not blindly.
Because data reflects behavior within a system. It does not always reflect intent, context, or experience.
If you rely on dashboards alone, you'll optimize for efficiency. If you listen to your people, you'll optimize for reality.
The organizations that get this right don't choose between data and human insight. They combine them.
If you're investing in process mining right now, don't just ask what the system is telling you. Ask what it's missing. That's usually where the real work is.
#HRRealTalk
Amy Wang shares real-world insights of organizational transformation across HR, IT, finance, and shared services. With experience spanning higher education, healthcare, and automotive industries, she brings a grounded perspective to leading change in complex environments. Amy also serves as a strategic advisor on AI integration, helping organizations align technology with workforce strategy. She started using #HRRealTalk to open up more honest conversations about leadership, change, and the human side of complex systems. She writes about what actually works, lessons learned, and how to lead with both clarity and empathy.
Connect with Amy on LinkedIn: linkedin.com/in/amywang168
Amy Wang | Voice of Real Talk in HR and Organizational Transformation
