Task capture vs task mining: what should your team collect?

Task capture records how someone completes a task. Task mining analyzes captured activity to find repeated steps, variations, and possible improvements. A team may need both: a record of what happened and a review of what that record means.

Suppose an operations team handles invoice exceptions in an ERP, a spreadsheet, and email. Recording one successful case can help explain the procedure. To decide what to automate, the team also needs to understand the different exceptions, approval rules, and missing inputs.

Compare the output you need

Question	Task capture	Task mining
What are we collecting?	The steps and context of a task being performed.	Activity across relevant runs, with enough coverage to examine repetition and variation.
What should we review?	Whether the record includes the inputs, decisions, and result.	Whether a proposed pattern is supported by the captured cases.
What can we produce?	A walkthrough or a source for an SOP draft.	A workflow analysis and candidates for documentation or automation.
What remains uncertain?	Exceptions and work outside the recording.	Unobserved cases, hidden business rules, and whether automation will work reliably.

Product labels overlap. During an evaluation, ask each vendor to show the source evidence, resulting document or analysis, and the work your team must do to make it usable.

Start with a bounded workflow

Choose a task with a recognizable start and a checkable result. For an invoice exception, that might mean receiving a mismatch alert and finishing with a corrected record or an escalation to the approver. Include the applications and people involved in that handoff.

Agree which activity may be captured, who can review it, and when it should be deleted. Use demonstration data for an initial walkthrough. Mark inaccessible applications and unrecorded decisions as gaps. Time outside the capture does not establish that a person was idle or that a process had no exceptions.

Screenpipe provides screen and audio history with local search. Capture settings determine what is available. Task mining with Screenpipe uses recorded workflow evidence to support SOP drafts, workflow review, and automation planning. Hosted AI and team services have their own processing paths; confirm the deployment scope before handling sensitive work.

Review variation before choosing an automation

Collect representative examples of the normal path and the exceptions your team expects. Ask the operator why a value changed, when an approval was required, and which actions were corrections. Keep those explanations alongside the observed steps.

An automation candidate needs approved inputs, a permitted action, an expected result, and a rule for escalating unfamiliar cases. Test it in an agreed environment. A repeated sequence of clicks alone does not establish permission to run it unattended.

If the immediate need is training or a handoff, begin with a reviewed SOP from a screen recording. If you need to choose a tool, use the task-mining alternatives evaluation guide to compare the same workflow across vendors.

Keep process mining in the evaluation when logs matter

Process mining usually starts with structured events from business systems. Task-level recordings can explain work around those systems, including manual checks and conversations. Decide whether your question needs system logs, desktop evidence, or both. A desktop recording cannot establish every event in an end-to-end business process.

Talk with the Screenpipe team about the workflow and output you need. Define the review and completion criteria before expanding capture across a team.