AI Insights & Analytics

AI Insights & Analytics — your app URL is all you need

AI Insight analyzes real user sessions, maps every flow, finds the gaps, and generates production-ready test cases automatically. No prompts. No manual design. From URL to test cases in under 10 minutes.

Test cases from real behaviorCoverage gap detectionNo prompts needed
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AI Insight Detailslive
Environment AI InsightsURL app.yoursaas.com/ai-insightsPeriod Jun 2025 – Jan 2026
Activities Analyzed
19
User activities captured
Pages Analyzed
198
Total pages visited
Test Cases Repository
366
Available for matching
Gaps Identified
166
166 in current
Recommendations
19
21% match
Test Case 1Verify End-to-End Navigation Across Major Application Modules
Gap Analysis 4 gaps
The new test case now includes all identified gaps and improvements.
End-to-end navigation across modulespositive
Run & Execution on test case 2393major
Label filters applied & view refreshedpositive
Variables tab → Settings → Pluginsmajor
Trusted by leading engineering & QA teams
SkillibriumHalightQualiZealCoforge
Definition

What is AI Insights & Analytics?

AI Insights & Analytics is a ContextQA capability that turns real user-session data into automated test cases. From a single application URL it maps the flows your users actually take, compares them to your existing tests, detects coverage gaps, and auto-generates the missing cases — in under 10 minutes, with no prompts and no manual test design.

The problem

Your tests cover your plan. Not your users.

Manual test design covers the paths you imagined. Real users take paths you never wrote down — and that is exactly where defects hide.

Test design by assumption

Suites are written from specs and personas — a snapshot of how the team thinks the product is used.

  • Misses real navigation paths
  • Edge cases written by hand, slowly
  • Goes stale as the product changes
Coverage from real behavior

AI Insight learns from the sessions users actually run, so coverage tracks reality instead of assumptions.

  • Tests the flows users really take
  • Surfaces gaps you didn't know existed
  • Refreshes as behavior evolves
How it works

From URL to test cases in 5 steps

One input starts the whole pipeline. Every step after the URL is automated.

1

Provide your app URL

Point AI Insight at your live application. That is the only input it needs.

2

Analyze real sessions

It studies anonymized user-interaction patterns across real traffic.

3

Map every flow

Sessions become a map of the journeys users actually complete.

4

Detect coverage gaps

Mapped flows are compared with your existing tests to find what is missing.

5

Generate the missing tests

Production-ready cases are auto-generated for every uncovered flow.

The difference

Not prompts. Not recordings. Real user intelligence.

Most test generation starts from what someone describes or records. AI Insight starts from what every user actually did.

Prompt-based

Guesses from a description

You describe a flow and a model writes a test for it. Coverage is only as good as the prompt — it never sees the paths you forgot to mention.

Assumption-driven
Record & replay

Captures one path at a time

Recorders replay the single journey someone clicked through. Useful, but it covers one path per recording and breaks when the UI shifts.

One path at a time
ContextQA AI Insight

Learns from every real session

AI Insight models how all users move through your app, prioritizes by real usage, and generates the cases you are missing — automatically.

Behavior-driven
Capabilities

What AI Insight does for your QA team

Four capabilities that replace hours of manual analysis and test design.

Home → Pricing → Checkout
Search → Product → Cart
Mapping journeys

User journey mapping

Every real session becomes a clear map of the journeys users complete, ranked by how many people take them.

See web automation
Cover the checkout flow
Include the edge cases
Generating tests

Auto test-case generation

Each uncovered flow becomes a production-ready test case, written and structured for you — no manual authoring.

Export as code
36 real flows mapped
Which have no test?
Scanning coverage

Coverage gap detection

AI Insight compares mapped flows to your suite and highlights exactly which real journeys have no test behind them.

Pair with root-cause analysis
Run on a schedule
Surface new flows
Discovering flows

Continuous discovery

Run AI Insight on a schedule and it keeps finding new flows, surfacing fresh gaps and generating tests as your product evolves.

Run it in CI/CD
Who it's for

Built for every team that cares about quality

QA & test engineers

Stop hand-writing edge cases. Get a prioritized backlog of real, missing tests and spend your time on the hard ones.

Developers

Ship with confidence that the flows users depend on are covered — before the release, not after the incident.

Product & QA leaders

See real coverage against real usage, and know exactly where the risk sits across every release.

Best moments

When AI Insight makes the biggest impact

Right after launch

New traffic reveals how people really use the product. AI Insight turns that first wave of sessions into coverage fast.

Before a release

Validate that the flows users actually rely on are covered, so the riskiest paths are tested before you ship.

Legacy apps with no tests

Inherited an app with thin coverage? Point AI Insight at the URL and build a real suite from how it is used today.

Always-on discovery

As behavior shifts, scheduled runs keep finding new flows and generating the tests to match — no babysitting.

Fits your stack

Plugs into your stack

CI/CD, project management, cloud platforms, AI agents — ContextQA connects to the tools you already use.

Browse all integrations
FAQ

Frequently asked questions

What is AI Insights & Analytics in ContextQA?
AI Insights & Analytics turns real user-session data into automated test cases. From a single application URL it maps the flows users actually take, compares them to your existing tests, detects coverage gaps, and auto-generates the missing cases in under 10 minutes.
How is it different from prompt-based test generation?
Prompt-based tools generate tests from a description of what you think users do. AI Insight generates tests from what users actually do, learned from real session data, so coverage reflects real behavior instead of assumptions.
What input does it need to start?
Only your application URL. AI Insight analyzes real user sessions on that application, maps the flows, and generates test cases — no prompts and no manual test design required to begin.
How long does it take to get test cases?
AI Insight goes from URL to generated test cases in under 10 minutes for a typical application. Larger applications with more flows take longer, but the process is fully automated end to end.
Does it work with my existing test suite?
Yes. AI Insight compares discovered user flows against your existing tests, so it only generates the cases you are missing instead of duplicating coverage you already have.
What user data does it access?
AI Insight analyzes anonymized user-interaction patterns and flows on your application to model how users navigate. It uses behavior data to map journeys and detect gaps, not to identify individual users.
How are the generated test cases prioritized?
By real usage. The flows the most users take are covered first, so your highest-traffic paths get tested before rarely used edge cases.
Can it run continuously?
Yes. AI Insight can run on a schedule to keep discovering new user flows as your product changes, surfacing fresh coverage gaps and generating new test cases as behavior evolves.

Your app URL is all you need

See AI Insight map your real user flows and generate the tests you're missing — in minutes, not months.

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