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Reporting & Insights

Visibility into every action your AI teammates take

SmartBear BearQ™ provides clear, accessible reporting on what was explored, what was tested, what was found, and what needs attention.

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The challenge

Turn agent activity into release-ready insight.

More than test resultsAgentic testing creates more than test results. It creates a new stream of exploration, validation, failures, fixes, and coverage signals.Signal without the noiseBearQ turns that activity into clear, readable reporting so teams can see what was tested, what passed, what failed, what changed, and what still needs coverage — without digging through raw test output.

Reporting insights

HOW BEARQ WORKS

Clear reporting at every level of the organization.

BearQ generates reporting designed for different audiences, from detailed execution insights for practitioners to accessible summaries for leaders and stakeholders. All reports are produced automatically.

Daily summaries
A structured daily picture of what BearQ explored, what was validated, and what issues were discovered. These come complete with reasoned conclusions and recommendations for next actions.
Coverage progress snapshot Issues discovered Workflows explored Recommended next actions
Defect & issue reporting
Every issue BearQ surfaces comes with the context needed to act: the workflow, the failing step, the expected versus actual behavior, and the details that support it all.
Workflow-level failure context Reproduction detail Trend visibility across cycles
Audit & traceability
BearQ offers a complete, traceable record of what it explored, tested, and found, designed for compliance-sensitive environments.
Exploration & execution history Compliance-ready documentation Stakeholder-ready reporting

IN PRACTICE

What a QA lead's morning with BearQ looks like

  1. The QA lead opens BearQ's daily summary.
  2. BearQ explored four workflows overnight, validated 23 scenarios, and surfaced one high-priority issue in the user settings workflow.
  3. The issue report includes steps to reproduce, the exact step where the failure occurred, the expected versus actual result, and all the detailed logs to pinpoint the root cause.
  4. The rest of the summary confirms that regression validation for the prior sprint's features is complete and stable.
  5. Total time to process the summary: under ten minutes.

Frequently asked questions

Know what was tested. Know what needs attention.

Try BearQ and get clear reporting on every exploration, validation, issue, and coverage gap your AI teammates surface.

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