Build a Custom QA Dashboard Using AI in Minutes
Turn a plain-English description of your QA Dashboard into a production-ready build, from design to deployment, in minutes. No code needed.
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Emergent Key Features for Building a QA Dashboard
Test results joined to builds and defects, so quality trends and release readiness are visible in one place.
Trends across Builds
Pass rates and durations are tracked over many builds rather than reported per run, which distinguishes a real regression from a single bad execution.
Flaky Test Identification
Tests that pass and fail inconsistently are ranked, targeting the unreliability that erodes trust in an entire suite.
Escape Rate Measurement
Defects found in production are compared against those caught in testing, which is the only honest measure of whether testing is working.
Coverage of Changed Code
Test coverage is reported against what actually changed in a release, rather than as a total that stays comfortably high.
Defect Concentration by Component
Issues are grouped by area, revealing the modules that generate disproportionate defects and deserve refactoring attention.
Explicit Readiness Criteria
Release conditions are listed with status, so a go decision is a checked list rather than a judgement call under time pressure.
QA Dashboard Use Cases You Can Build in Minutes

Tell a Regression from a Bad Run
Tests executed, passed, failed and skipped per suite and build, pass rate trend over thirty builds, execution duration and its trend, tests failing repeatedly and the suites with the longest runtime for their coverage.
window.awbMockup = { testExecution: "Build a QA dashboard showing tests executed, passed, failed and skipped per suite and per build, pass rate trend over the last 30 builds, execution duration and its trend, tests failing repeatedly across builds, and the suites with the longest runtime relative to their coverage value.", defectManagement: "Build a defect dashboard showing open defects by severity, component and age, defects found per release against defects fixed, escape rate as issues found in production against those caught in testing, reopened defect rate, average time to resolve by severity, and defect concentration by component.", testAutomationCoverage: "Build a test automation dashboard showing automated against manual test counts by area, code coverage by module against target, features with no automated coverage, automation added per sprint, flaky tests ranked by inconsistency, and the manual test cases consuming the most regression effort.", releaseReadiness: "Build a release readiness dashboard showing each release criterion with current status, blocking defects outstanding by severity, regression suite result on the release candidate, test coverage of changed code in this release, environments verified, and an overall readiness signal with the specific items still outstanding."};

Measure What Escapes into Production
Open defects by severity, component and age, defects found per release against fixed, escape rate as issues found in production against caught in testing, reopened defect rate and defect concentration by component.
window.awbMockup = { testExecution: "Build a QA dashboard showing tests executed, passed, failed and skipped per suite and per build, pass rate trend over the last 30 builds, execution duration and its trend, tests failing repeatedly across builds, and the suites with the longest runtime relative to their coverage value.", defectManagement: "Build a defect dashboard showing open defects by severity, component and age, defects found per release against defects fixed, escape rate as issues found in production against those caught in testing, reopened defect rate, average time to resolve by severity, and defect concentration by component.", testAutomationCoverage: "Build a test automation dashboard showing automated against manual test counts by area, code coverage by module against target, features with no automated coverage, automation added per sprint, flaky tests ranked by inconsistency, and the manual test cases consuming the most regression effort.", releaseReadiness: "Build a release readiness dashboard showing each release criterion with current status, blocking defects outstanding by severity, regression suite result on the release candidate, test coverage of changed code in this release, environments verified, and an overall readiness signal with the specific items still outstanding."};

Cover What Changed, Not the Whole Project
Automated against manual test counts by area, code coverage by module against target, features with no automated coverage, automation added per sprint, flaky tests ranked by inconsistency and manual regression effort.
window.awbMockup = { testExecution: "Build a QA dashboard showing tests executed, passed, failed and skipped per suite and per build, pass rate trend over the last 30 builds, execution duration and its trend, tests failing repeatedly across builds, and the suites with the longest runtime relative to their coverage value.", defectManagement: "Build a defect dashboard showing open defects by severity, component and age, defects found per release against defects fixed, escape rate as issues found in production against those caught in testing, reopened defect rate, average time to resolve by severity, and defect concentration by component.", testAutomationCoverage: "Build a test automation dashboard showing automated against manual test counts by area, code coverage by module against target, features with no automated coverage, automation added per sprint, flaky tests ranked by inconsistency, and the manual test cases consuming the most regression effort.", releaseReadiness: "Build a release readiness dashboard showing each release criterion with current status, blocking defects outstanding by severity, regression suite result on the release candidate, test coverage of changed code in this release, environments verified, and an overall readiness signal with the specific items still outstanding."};

Make the Go Decision a Checked List
Each release criterion with current status, blocking defects by severity, regression result on the release candidate, coverage of changed code, environments verified and an overall readiness signal with what remains outstanding.
Make the Go Decision a Checked List
Each release criterion with current status, blocking defects by severity, regression result on the release candidate, coverage of changed code, environments verified and an overall readiness signal with what remains outstanding.
Build a custom QA dashboard in 4 simple steps
See test results, defect trends and release readiness in one view, so a go decision is based on evidence rather than on whether the suite finished running.
Start with test pass rate by suite, automation coverage, defects by severity and age, flaky test count, and the criteria a release must meet. Emergent builds around your definition of ready rather than a generic testing report.
Link your continuous integration pipeline, test reporting, issue tracker and code coverage output. Emergent joins test results to the builds and defects they relate to, so a failure is traceable to a change.
Ask to add a suite, alter a coverage target, change what blocks a release or add an environment check, and the readiness view rebuilds around your current definition of ready.
Publish one link used in release decisions, where QA sees suite detail, engineering sees failures by area and product sees readiness. The go decision happens on shared evidence.
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