Testing & QA. Analytics

QA Intelligence Dashboard for Engineering Leaders

Real-time coverage trends, AI anomaly detection, flaky test tracking, and defect escape rate analysis, all in one dashboard with weekly digest reports.

QA Dashboard
84%
Coverage
+3% this week
2
Flaky Tests
-5 this week
0.8%
Defect Escape
-0.2% this week
Updated in real time · Weekly report sent Mondays
Real-time
Coverage trends
AI
Anomaly detection
Weekly
Reports
100%
Pipeline visibility

Overview

What is QA analytics?

Most teams know their test pass rate. Few know their defect escape rate, which tests are consistently flaky, or whether coverage is trending up or down. QA analytics aggregates data from every test run, CI pipeline, and defect tracker to give engineering leaders a clear picture of quality health, with AI that surfaces anomalies and predicts where the next production bug is most likely to come from.

What's included

Coverage trend tracking

Track test coverage by service, team, and file over time. Visualise how coverage changes with each sprint and identify areas of persistent gap.

Flaky test detection

Automatically identify tests that pass and fail intermittently. Flaky tests are quarantined and owners are notified with root cause candidates.

Defect escape rate

Track bugs that reach production versus bugs caught in testing to measure how effectively your QA process is protecting users.

AI anomaly detection

AI monitors test result patterns and alerts when an unusual spike in failures, coverage drops, or flake rates is detected.

Team-level reporting

Break down coverage, defects, and flake rates by team, service, and author, making it easy to direct QA investment where it's most needed.

Weekly digest reports

Automated weekly summaries delivered to Slack or email give engineering leads a clear snapshot of quality without logging into a dashboard.

How it works

From setup to production

01

Connect

Integrate with your CI pipeline, test framework, and issue tracker. Data collection begins immediately with no instrumentation changes.

02

Baseline

AI analyses historical test data to establish baselines for coverage, flake rates, and cycle times for each service.

03

Monitor

The live dashboard updates after every CI run. Anomalies trigger Slack or email alerts within minutes of detection.

04

Report

Weekly digests are sent to configured recipients every Monday with trend summaries, top anomalies, and recommended actions.

01

Connect

Integrate with your CI pipeline, test framework, and issue tracker. Data collection begins immediately with no instrumentation changes.

02

Baseline

AI analyses historical test data to establish baselines for coverage, flake rates, and cycle times for each service.

03

Monitor

The live dashboard updates after every CI run. Anomalies trigger Slack or email alerts within minutes of detection.

04

Report

Weekly digests are sent to configured recipients every Monday with trend summaries, top anomalies, and recommended actions.

FAQ

Common questions

Related

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