Using AI Launch Analysis
Understand how Qualflare automatically generates AI-powered risk assessments for each test launch, including executive summaries, failing areas, and recommendations.
AI Launch Analysis
After each test launch, Qualflare automatically generates an AI analysis of the results. The analysis identifies risk areas, summarizes what failed, and provides actionable recommendations — saving time on post-run triage.
Where to Find It
AI Launch Analysis appears on the Launch Detail page as a card below the results summary. It is generated automatically — no manual action required.
Reading the Analysis
When analysis is complete, the card shows four sections:
Executive Summary
A brief, plain-language summary of the launch results. Includes a risk level badge:
- 🟢 Low — few or no issues, acceptable results
- 🟡 Medium — some failures worth investigating
- 🟠 High — significant failures requiring attention
- 🔴 Critical — major failures blocking progress
Risk Assessment
An explanation of why the risk level was assigned. Details the patterns and failure types that informed the assessment.
Failing Areas
A list of areas or suites with failures, each showing:
- Area name
- Failure count
- Impact level indicator
Recommendations
A numbered list of specific, actionable next steps based on the analysis.
Analysis States
| State | What it Means |
|---|---|
| Pending | Analysis is being generated. Refresh the page in a few moments. |
| Completed | Analysis is ready to read. |
| Failed | Analysis could not be generated. Try re-running the launch. |
| Skipped | Monthly AI credit quota was reached. Upgrade your plan or wait for quota reset. |
Plan Requirements
AI Launch Analysis requires Core plan or above. On the Starter plan, the analysis card shows an upgrade prompt.
See Also
Using the Quo Agent
Learn how to use Quo, Qualflare's AI assistant, to analyze test coverage, generate test cases, create test steps, and answer questions about your testing.
Using Failure Clusters
Use Qualflare's AI-powered failure clustering to group similar test failures, identify root causes, and reduce time spent triaging repeated errors.