How Story Quality Analysis Works
Enter a Jira story key and the engine runs a 4-stage pipeline in real time: Fetch the story from Jira → Analyse it against the INVEST framework (Independent, Negotiable, Valuable, Estimable, Small, Testable) → AI Rewrite the description to fix weaknesses → Generate Acceptance Criteria to fill gaps. Each stage streams results progressively so you see insights as they arrive. The final report includes a health score, dimension-level critique with root-cause analysis, a before/after description comparison, and a full acceptance criteria table — all downloadable as PDF.
INVEST
QA Readiness
INVEST Health
Strengths
Issues
AI Assessment & Rewrite
Critical Missing Elements
Improvements Applied
Summary
Before
After
Description
Before
After
Score Comparison
Root Cause
Fix
Applied in Rewrite
Quality Issues
No issues found
Missing Scenarios
Suggested AC
Testable Elements
None identified
Vague Phrases
None detected
Test Scope Estimate
Acceptance Criteria
| # | Source | Given | When | Then | Type | Priority | |
|---|---|---|---|---|---|---|---|
Jira ACs shown for reference (not selectable).
Risk & Readiness
Mitigations:
Sprint Risk Flags
Persona
Detected:
Clarity:
Scope
Complexity:
Top Risks
Recommended Test Focus
Story Split Suggestion
Why should this story be split?
Split Signals Detected
Proposed Sub-Stories
These are suggestions only — no Jira issues are created.
Restricted Action
Push to Jira is currently restricted. Use Copy Report to copy and paste manually.