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What Is Task Mining? A Definition, How It Works, and Task Mining vs. Process Mining
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Key Takeaways
- Task mining captures, groups, reconstructs, and analyzes how desktop-level work is performed. Desktop-level work includes clicks, data entries, and sequence of app usage that occur between event logs.
- Task mining software works with data in the following framework: activities are captured → grouped into tasks → sequenced to show the real workflow → analyzed for friction and variation.
- Task mining is not process mining, but they complement each other. Process mining maps how work flows end-to-end across systems, while task mining zooms into the individual tasks happening in between.
Between system logs, a lot of work happens. Users switch between applications, focus on a static page, and click buttons across different UIs. These desktop-level steps are “tasks” that happen before a system log ever records an output or event. How you map, analyze, and interpret those tasks is task mining. Read on to get clarity on process mining vs task mining and how task mining software works.
What Is Task Mining?
Task mining is the practice of capturing desktop-level steps in a process in order to reconstruct the detailed reality of how work gets done from start to finish. These include the verifiable mouse movements, user-interface clicks, and sequence of applications that process mining misses.
The purpose of task mining is to map and comprehend the detailed reality of how a process reaches completion, often with two end goals: to improve the process architecture and provide data for AI automation. Task mining reveals how long a task takes, how people transition between tools, and details the minute steps taken before a task reaches a system of record. To deeply understand what task mining is we can break it down into four clear steps.
How Task Mining Works
Task mining tools follow a similar four-step framework, regardless of vendor.
- Capture desktop interaction data. The tool records interaction-level activity on a device as people complete their work. Examples include: which applications are open, what actions are taken, and in what sequence.
- Group actions into tasks. Individual actions are clustered into recognizable tasks (for example, "process an invoice" or "update a customer record"), rather than left as a raw stream of clicks.
- Reconstruct the real flow. Those tasks are sequenced to show the actual path work takes from start to finish. This reality is often messier, and more revealing, than the official process, which exists only in documentation manuals.
- Analyze for friction and variation. The reconstructed flow is analyzed to spot bottlenecks, repeated manual work, and inconsistencies between how different people or teams complete the same task.
Process Mining vs. Task Mining
Process mining and task mining both aim to show how work progresses, but they draw on different data and operate at different levels of detail. Process mining takes a macro look across systems, while task mining looks at individual tasks that happen in between an event log output.
For many organizations, it’s not a question of process mining vs. task mining. Neither approach replaces the other. Process mining is strong at showing you where a process breaks down across systems and teams; task mining is strong at showing you what's happening in the gaps. Task mining particularly helps uncover the manual, repetitive desktop work that never generates a system log entry in the first place.
One common use case for both disciplines in in the insurance industry, where process data is critical to reducing claims leakage at each step in a complex process involving multiple handoffs.
Note: Sitting above both process mining and task mining is a third discipline, process intelligence. Platforms like Insightful that deliver process intelligence offer combined benefits of both, though process intelligence uses a different mechanism (deterministic desktop telemetry). Process intelligence software is designed to turn data about how work actually happens into a live, analyzable view of a process that produces actionable steps. Learn more about process intelligence here.
Task Mining Software and Tools: What to Look For
The top evaluation criteria to consider when purchasing task mining software include privacy model, deployment, and integrations. Task mining tools are rarely a standalone application. Ensuring your tool of choice works with existing systems, platforms, and cultural expectations around privacy is essential.
Start by comparing task mining software across these 3 criteria.
- Privacy model: Does the tool operate at the process level (i.e., grouping and analyzing task patterns) or does it capture and store individual keystrokes and personal data?
- Deployment effort: Some tools require significant IT lift to roll out across an organization; others are designed to deploy with minimal setup.
- Integrations: Since task mining is most valuable alongside a broader view of process and workflow data, check how well a given tool integrates with any process mining, project management, and reporting tools you already use.
Is Task Mining the Same as Employee Monitoring?
No, task mining and employee monitoring are built around different mechanisms and different levels of data. Employee monitoring is used by organizations to see employee activity in real time, automatically surface attendance data, and spot drops in utilization and output.
Task mining groups and analyzes patterns in how tasks get completed based on granular desktop-level inputs.
Again, a process intelligence approach generally sits above both. At Insightful, employee monitoring data and precision task-level data are combined into one platform. Insightful’s Workflow Optimization uses these data streams to map processes end-to-end, while tracing bottlenecks back to the exact ticket, case, or claim that caused them. And it does so without invasive keystroke logging or PII capture.
Conclusion
Task mining gives you the ground-level truth of how work actually gets done: the app-switching and manual steps that never make it into a system log. Paired with process mining’s end-to-end view, it’s able to close the gap between how work should flow and how it really flows. Together, they turn scattered desktop activity into decision-ready process intelligence.
Interested in what your team’s real processes look like once they’re mapped? Request access to Insightful’s Workflow Optimization today.
Frequently Asked Questions
What is task mining?
Task mining is the practice of capturing how people carry out work on a desktop device to reconstruct the real, task-level process. It fills in detail that system-log-based approaches like process mining can't capture on their own. Task mining covers all the work that gets done across applications before an event log is captured.
What is the difference between process mining and task mining?
Process mining reconstructs process flows from system logs, showing how work moves across systems and handoffs. Task mining captures desktop-level interaction data to show how a specific task gets done, step by step. The two are complementary: process mining shows the big picture, task mining shows the detail inside it.
What is task mining software?
Task mining software is a tool that captures desktop interaction data, groups it into recognizable tasks, and analyzes the resulting flow for friction, variation, and inefficiency. Tools vary in their data source, privacy model, deployment effort, and integrations, all of which are worth evaluating before adoption. Organizations often use task mining software in tandem with process mining software. Meanwhile, process intelligence software sits above either category, and combines benefits of both.
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