How to Build Momentum for Task Mining with Change Management Best Practices

Introduction

Task mining provides an accurate picture of how work actually happens in an organization, not the version written into a five-year-old SOP or the version an employee recalls when asked to detail their process. Task mining works by recording desktop activity as an individual works, every click, keystroke, and application switch, so you can see the real steps behind a process instead of guessing at them.

Because task mining requires recording how a person works, it’s very important to build strong trust and relationships before launching your project. The goal of any task mining effort should be to make end users feel empowered about the findings.

Some employees already know where their process breaks down. They've built workarounds for it for years. What they haven't had is proof, and that's what changes when the data comes back.

Building that level of trust requires:

• Acknowledging the surveillance concern before your team does
• Explaining exactly what gets recorded, and what doesn't
• Championing the data as proof of the work employees already do
• Communicating with your team before, during, and after recording starts
• Running an initial pilot that turns skeptics into advocates

This guide covers how to get genuine buy for task mining, explain what actually happens during recording, and turn early skeptics into advocates.

1. The real objection is trust, not surveillance

The concern is real, and it deserves a real answer, not a dismissal. Asking someone to have their screen recorded taps into a legitimate fear: that the data will be used to judge them, rank them against their teammates, or build a case for cutting their role. Employees who've lived through a poorly handled monitoring program somewhere else have every reason to expect the worst here too.

The honest answer is that task mining looks at processes, not people. The goal isn't finding out who's the fastest at data entry. It's finding out how to reduce repetitive, monotonous, and inefficient work.

Task mining also exists for a reason worth naming: the usual way to learn how work gets done, sitting with someone and asking them to walk through their process, has a built-in flaw. People act differently when they know they're being watched over their shoulder by a person. 

As Doug Thomson, ClearBank's Director of Engineering, put it: "A watched pot never boils. People being watched will do things by the book, and when people are watched they're less likely to do shortcuts that they know, even if it improves the process." Recording removes that audience effect and captures what people actually do, at a scale no interview schedule could match.

When this comes up directly, three things are worth saying plainly:

• What it's for: understanding how the process works, not scoring the person doing it
• What changes because of it: broken workflows get redesigned and repetitive, manual work gets removed
• Why recording beats the alternative: it captures real behavior, not the version an employee recalls when asked to detail their process, or the version people perform when they’re watched over the shoulder

None of this makes the person doing the work any less essential. Recording shows what happens, click by click. It doesn't explain why someone built a workaround around a broken step, or which exceptions never made it into the SOP. That context still lives in the SME's head, and the strongest projects treat recording and that context as two halves of the same picture, not a replacement for it.

2. The mechanics that build trust

Once you've made it clear that this is about process, not people, the next question your team will ask is some version of: what exactly happens when the recorder is running? Providing full transparency is a great way to build trust.

A Mimica task mining project is time-bound and limited to the scope of the project, not an always-on monitoring program. Personally identifiable information (PII) — the type of personal data that can be used to identify a specific person — gets anonymized by default, so what ends up in a report is a process step, not a name attached to it. 

Additionally, employees control the recorder directly. They can pause it at any time – when they step away from work-related tasks or need to handle something personal – and nothing gets captured during that time. 

Before recording starts have an open discussion with your team about:

• How the recording period is scoped, and when it ends
• What gets anonymized, and what a leader can and can't see in the output
• How an employee can pause or stop the recorder themselves
• Who receives the results
• How the findings are reviewed with them after the project, so their context shapes the output before anyone sees it

Those mechanics help alleviate surveillance concerns while bringing the main concern — process improvement — to the forefront.

3. Treat resistance as information, not an obstacle

Pushback after you've done all of this isn't a sign you've failed. It's helpful feedback. Every objection points to something specific: a gap in what you've explained, a bad experience with a different tool, or a fear you haven't addressed yet. Shutting the conversation down loses that information. Asking one more question usually surfaces it.

Match the resistance to its cause before responding:

• If the objection is about scope, point back to the specific commitments on what's recorded, anonymized, and shared
• If it's about a past bad experience, ask what went wrong there and name explicitly how this is different
• If it's about job security, address it directly rather than talking around it: task mining finds inefficient work it doesn’t single out individuals

A good method for building a groundswell of support, while being able to quickly incorporate feedback and suggestions, is to run a small pilot project first.

4. Find your internal champions through a small pilot

Skip the temptation to automate the biggest, most tangled process first. Start small enough to prove the value quickly, and let the results encourage your champions.

Cantor Fitzgerald took exactly this approach: a focused, one-week pilot on a single team's receivable process, before committing to anything larger. The output was detailed enough that the executive team could see, in one meeting, exactly how the work was actually getting done, gaps a spreadsheet report never would have caught. That one pilot is what turned a skeptical evaluation into a program that expanded to dozens of automation projects within six months.

Design the first pilot around these constraints:

• Pick one team and one well-defined process, not a cross-functional workflow
• Set a fixed, short window so the pilot has a clear end date and a clear readout
• Involve the team's own manager in reviewing results, so they can vouch for what it found
• Sit down with the SME before the readout, so the exceptions and workarounds only they'd know about are already folded into the story
• Publicize the outcome inside the function before pitching the next team

Once results start coming back from that pilot, they become the strongest argument for scaling further, and the argument gets personal fast.

5. This is evidence of employee value, not a performance review

That pilot produces something besides a business case: real process maps that employees can see for the first time. For someone who's spent years mastering a role nobody outside their team fully understands, seeing that work laid out in detail can be the first time anyone's actually seen everything they do. 

At McKesson, employees who'd quietly handled complex, high-volume finance work for years watched their own process maps come back and recognized just how much they were juggling. Brandy Hulsey, the company's VP of Enterprise Accounts Payable and Reverse Logistics, put it simply: "They say, 'Look at me. I do a lot of things. I told you I was really good at my job.'"

That reaction shows up because the data doesn't teach Brandy's team anything new about their own jobs. They already knew the work was complicated; they'd been living it for years. What the process map does is put a number on it for the first time.

Make that reframe real, not just a nice idea:

• Share process maps back with the employees who generated them before anyone else sees the findings
• Ask the SME to walk through the why behind what the data flagged, the workarounds and exceptions they’ve been using
• Name the specific tasks the mapping surfaced that leadership didn't know existed
• Tie any resulting change, a redesigned step, a removed task, back to the work that revealed it
• Let employees speak to their own results in team meetings, in their own words

That reaction is worth more than a nice anecdote. It's an early signal of what compounds once the rollout scales past a single pilot.

6. The payoff compounds

None of this pays off in the abstract. It pays off in specific, compounding ways once trust is established and the rollout expands past the first pilot:

• McKesson: surfacing a gap in how one internal tool was actually being used freed up a quarter of the team's time for higher-value work
• Cantor Fitzgerald: one contained pilot grew into 55 automation projects within six months, run largely without outside consultants
• ClearBank: small, incremental fixes compounded into meaningful FTE savings within a few years, exactly the outcome its crawl, walk, run approach was designed to produce

None of these started as a mandate handed down from leadership. Each started as a pilot small enough to prove itself, then grew because the people closest to the work backed it.

7. Buy-in is a sequence, not a one-time event

Build trust with transparency before launching a project. Explain the mechanics until nobody has to ask. Treat pushback as a map of what's still unclear. Prove the case with a pilot small enough to succeed on its own. Then let the people who lived through it tell the next team what actually happened.

The employees on the other side of that recorder aren't looking for permission to trust you. They're looking for proof that the work they've been doing quietly, for years, finally has someone paying attention to it for the right reasons.

They're also the reason the initiative works at all. The data can flag a bottleneck, but it can't explain why the workaround exists or what happens when the exception hits. Only the person who's done the job for years can fill in that gap, which makes them a partner in the project, not just its subject.

Task mining was created to help improve processes, not micromanage employees. The end goal is to eliminate manual, repetitive work so that people can focus on the parts of the job that matter most — while improving efficiency across the entire organization.

Are you ready to start your task mining project and unlock the best versions of your employees, processes, and entire organization? Book a demo with Mimica today. Book a demo with Mimica today.