Reporting Overview

An overview of the dashboards, reports, and analytics that ContextQA provides to help QA teams, developers, and engineering managers understand test health at every level.

Who is this for? QA managers, engineering managers, and VPs who need clear visibility into test health, pass rates, flakiness trends, and release readiness — without manual spreadsheet tracking.

ContextQA centralizes all test quality data into a set of dashboards and reports so every stakeholder has the right view of what is happening across the test suite. From a real-time execution feed to AI-generated quality observations, the reporting layer surfaces the information you need without requiring manual spreadsheet tracking or log diving.

ContextQA analytics dashboard showing test execution metrics, date range filters, test plan selector, execution trend chart, and test success rate panel

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Who uses reporting in ContextQA?

Role	Primary concern	Recommended starting point
QA engineer	Did my last run pass? What failed and why?	Execution Dashboard → test run detail
QA manager	What is our overall pass rate, flakiness, and coverage trend?	Dashboard → Execution Dashboard → Coverage tab
Developer	Which specific step failed, what did the UI look like, and what is the fix suggestion?	Test result detail page → Failure Analysis
Engineering manager / executive	Are we shipping with confidence? How is quality trending across sprints?	Dashboard → Insight tab → RBT tab

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What is available

Main Dashboard

The Dashboard (accessible from the left sidebar) is your command center. It shows:

• Total test case volume split by web, mobile, and API

• Daily activity trend comparing AI-driven actions (auto-heal, root cause analysis) versus human interventions

• A daily bar chart breaking down cases created, reviewed, executed, root-cause-identified, and auto-healed

Use the date range picker to scope all widgets to a sprint or release window. Toggle between line and bar chart modes on the activity trend widget.

Execution Dashboard

The Execution Dashboard gives a live and historical view of every test run. Key panels include:

• Run-level summary: total executed, passed, failed, aborted, and success rate versus previous period

• Execution trend graph: daily pass/fail/aborted counts over time

• Test distribution widget: environment breakdown (web, mobile, API)

• Consistently failing test cases: a ranked list with root cause and failure count per case

Coverage Dashboard

The Coverage tab inside the Execution Dashboard shows which application modules have test coverage and which do not. Each module card lists positive, negative, and ad-hoc scenarios and flags unresolved issues with a red badge.

Insight and Risk-Based Testing

The Insight tab surfaces test health and readiness blockers — missing test data, broken prerequisites — with priority, source, and status for each blocker. The RBT (Risk-Based Testing) tab provides a heatmap matrix mapping test cases and defects against business priority and usage frequency so you can direct effort toward the highest-risk areas.

Test Result Detail Pages

Each individual test execution has a detail page showing step-by-step pass/fail results, screenshots, video replay, and downloadable Playwright trace files. See Test Results for a full walkthrough.

Failure Analysis

The failure analysis view provides AI-generated root cause explanations, fix suggestions, and flaky test detection. Failures can be pushed directly to Jira or Azure DevOps. See Failure Analysis.

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Navigating to reports

All reporting surfaces are reachable from the left sidebar:

• Dashboard — top-level platform summary

• Execution Dashboard — run history and per-run detail

• Reports — detailed pass/fail reports with screenshots, video, and step logs

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In this section

• Test Results — understanding execution result pages

• Analytics Dashboard — dashboards, trends, and AI insights

• Failure Analysis — root cause analysis, flakiness, and bug tracker integration

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Execution Evidence

The following recording is from a live ContextQA execution of the analytics dashboard:

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FAQs

How do I scope dashboard data to a specific sprint or date range?

Use the date range picker at the top-right of the Dashboard page to filter all widgets to a specific window. You can select a preset (last 7 days, last 30 days) or define a custom range.

Can I export test results for stakeholder reporting?

Yes. See Exporting Reports for instructions on downloading results as PDF or CSV, and for sharing report links with stakeholders who don't have a ContextQA login.

Where do I see which tests are consistently flaky?

The Execution Dashboard's Consistently failing test cases panel ranks tests by failure count. The Failure Analysis view provides AI-generated root cause explanations and flaky test detection across your suite.

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