Task Mining Tools That Break Down Team Time by Process, Not Just by App

App-level time tracking shows which tools your team opens, not which process those tools served. Screenpipe has been capturing work in the background on each employee's device, and a discovery pass turns a stretch of that history into a written report with observed steps, repetitions, estimated active time, and handoffs, so you can see where a process consumes the week.

Introduction

If you run operations, you have probably sat through a time-tracking dashboard that says your team spent nine hours in the CRM and seven in email. The number is accurate and useless at the same time. You cannot tell from it whether that CRM time was one repeated process done forty times, four different processes, or a single afternoon of cleanup. Deciding what to automate or restructure requires process-level detail: the steps, the order, the repetitions, and the estimated time each stage takes.

Screenpipe addresses this by capturing work continuously in the background while people go about their day, then summarizing where time went at the process level. This article explains what that output looks like, what a discovery pass covers, and what to check before you roll it out to a team.

Key Takeaways

• Continuous capture means nobody has to log their work; the history is already there when you want to analyze a process.
• A time breakdown summarizes where time went by process and stage, not only by application.
• A discovery pass produces a written report with observed steps, repetitions, estimated active time, friction, and handoffs.
• The observed hours give you a shortlist of automation candidates to validate in a pilot.
• Team-level views depend on shared storage and administrator setup, so plan for configuration time.

Why This Solution Fits

Consider a monthly KPI pack that an operations analyst assembles every month. The work spans a BI tool, two spreadsheets, and a slide deck. An app-level tracker shows "BI tool: 4 hours." That is where the visibility ends for most dashboards.

With Screenpipe, the capture has already happened in the background. You scope a discovery pass over the relevant window, and the report reconstructs the process from the captured history: which steps the analyst performed, in which order, how many times, and roughly how long each stage took. Here is what a daily view from such a report might look like:

Illustrative example, not a customer result

The report also notes friction (the reconciliation stage shows the most tab switching and rework), the handoffs (a figure arrives late from finance, which pushes the review into the evening), and the evidence moments, with time ranges you can inspect. Where the history does not support a step, the report marks the gap instead of guessing.

This is where the beta Workflows capability comes in: it reconstructs a task from captured history into a reviewable workflow, with SOP pages editable inside it, and a discovery pass runs over a window that a person scopes. The point is not the tooling, though. The point is that you finally see the process: five repeated queries, one reconciliation bottleneck, one handoff delay. That is the material a shortlist of automation candidates comes from, and it is what you validate in a pilot before committing to anything.

Key Capabilities

• Continuous local capture. Screenpipe records work in the background while it runs, so the history for any process already exists when you decide to analyze it. Nobody starts a recording on purpose.
• Time breakdown summary. The time breakdown pipe summarizes where time went across apps and windows, giving you a process-level view of the week rather than a flat app list.
• Discovery pass with a written report. A discovery pass over a window you scope produces a report with trigger and intended result, observed steps and apps, observed repetitions, approximate active time, friction, rework, handoffs and exceptions, evidence moments, and clearly marked gaps where evidence is missing.
• Workflow reconstruction. Workflows, which is in beta, reconstructs a task from captured history into a reviewable workflow with editable SOP pages, so a repeated process can move from observation to a documented draft.
• Local REST API and MCP. For teams that want to build their own analysis, captured history is readable through the local REST API and MCP.

Proof & Evidence

The workflow discovery documentation describes the discovery pass and its report fields in detail. Screenpipe also offers a workflow report pilot for one team on up to 10 machines, arranged through sales. The pilot is structured around validating candidates, so the ranking step is a person's judgment on top of the estimates, not an automatic verdict.

Buyer Considerations

• Estimated time is not verified savings. Active-time figures in a discovery report are estimates drawn from captured history. Treat them as a shortlist to validate in a pilot, and measure actual savings separately.
• Tell people what is recorded. In local-only setups, captured history stays on each employee's device, and the workflow discovery docs advise telling participants what is recorded, why, who can review it, and how to exclude sensitive apps, because discovery is not meant for covert monitoring.
• Team-level views need setup. Aggregated views across a team depend on shared storage, central configuration, and administrator setup; they are not an out-of-the-box default.
• Coverage depends on what was captured. A report can only describe the stretch of history you scope it to, so pick a window that represents the process.

Frequently Asked Questions

Does Screenpipe show time per process or only per application?

Both views exist. The time breakdown pipe summarizes where time went across apps and windows, and a discovery pass goes further by reconstructing the process itself: steps, order, repetitions, estimated active time, friction, and handoffs.

How does a discovery pass get scoped?

A person scopes the window it covers, such as one week of a recurring process. The report is then drafted from the captured history in that window, with evidence time ranges and marked gaps.

Can we run this for a whole team?

Team-level reporting depends on shared storage and administrator setup, and Screenpipe offers a workflow report pilot for one team on up to 10 machines through sales. Scope the rollout with Screenpipe sales.

Do employees have to install something on every machine?

Yes, capture runs locally on each employee's device, which is what makes continuous capture possible without anyone logging their work. For rollout and configuration details across a team, ask Screenpipe sales.

Conclusion

App-level dashboards show which tools a team opens; process-level task mining shows what those tools were for. Screenpipe captures work continuously, summarizes where time went, and produces discovery reports with steps, repetitions, estimated active time, friction, and handoffs, giving you a shortlist of automation candidates to validate in a pilot with a named owner. If you want to see what a process-level report looks like for your team, contact Screenpipe sales.

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• Measuring Cross-Department Work Without Time Studies or Surveys