Features
Everything in reqQA.AI
The full operational surface of the platform as it ships in v0.5 (Early Access). No coming-soon asterisks; no marketing fog.
Specification analysis & generation
Mission statement analysis
Quality-gated requirements generation. No high-severity issues escape the gate.
11-step requirement analysis
Full sweep or content-aware Quick Scan. Granular supersession on re-analysis.
7-step DeFOSPAM story analysis
Readiness assessment, severity-categorised issues, stakeholder questions.
Feature identification & curation
AI proposes implementable features; analysts split, merge or reject.
STORYTELLER story generation
Gherkin scenarios with concrete test data, validated syntax, tagged on creation.
Issue synthesis
Direct edits, placeholders and advisories. Word-level diffs and collision detection.
Convergence tracking
Issue counts across analysis runs. See whether the spec is settling — or stalling.
Cleanup tools (Unscrambler)
Capitalisation, grammar and structural passes. Preview, accept selectively.
Glossary management
Auto term discovery, AI-drafted definitions, cross-artefact term indexing.
Scenario tag glossary
Five categories — purpose, characteristics, data conditions, risk, strategy.
Release management & handover loop
Release scoping
Define a release as a named collection of stories — pinned to chosen revisions.
Scope/plan lifecycle separation
4-state scope machine + 7-state plan machine. Multiple build attempts per release.
As-scoped & as-built snapshots
Immutable JSON capture of release content at handover and at acceptance.
Advisory quality gate
Coverage, open critical issues and story staleness — checked before handover.
Builder feedback workflow
Builders raise feedback mid-build. Flows into standard issue management.
Build plan storage
Versioned 8-section plans with approval gate. Markdown-rendered, audit-retained.
Backlog & supporting capabilities
Analyst backlog
First-class capture of design gaps, future ideas, deferred defects. Source-tagged.
Requirement hierarchy & templates
Drag-and-drop tree, custom templates, recommended-analyses defaults.
Version history & audit trail
Character- and word-level diffs between any two versions.
Personas
Per-application persona management feeding analysis and generation.
Notifications & job queue
Background jobs with progress tracking and direct links to results.
Training application catalogue
Pre-built apps with clean and defect-seeded modes for evaluation.
Multi-organisation support
Belong to many orgs; one-click switch updates the entire workspace context.
CSV requirements import
Column auto-detection, template assignment, AI grouping and consolidation.