36 lines
1.5 KiB
Markdown
36 lines
1.5 KiB
Markdown
# Specification Quality Checklist: AI Model Revision (ADR-023A)
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**Purpose**: Validate specification completeness and quality before proceeding to planning
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**Created**: 2026-05-15
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**Feature**: [spec.md](../spec.md)
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## Content Quality
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- [x] No implementation details (languages, frameworks, APIs) — spec describes WHAT not HOW
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- [x] Focused on user value and business needs
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- [x] Written for both technical and non-technical stakeholders
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- [x] All mandatory sections completed
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## Requirement Completeness
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- [x] No [NEEDS CLARIFICATION] markers remain — all resolved in Clarifications session
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- [x] Requirements are testable and unambiguous
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- [x] Success criteria are measurable (SC-001 through SC-008 with specific metrics)
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- [x] Success criteria are technology-agnostic (no framework specifics)
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- [x] All acceptance scenarios are defined (4 User Stories with scenarios)
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- [x] Edge cases are identified (6 edge cases documented)
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- [x] Scope is clearly bounded (AI pipeline only — DMS core workflow not in scope)
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- [x] Dependencies and assumptions identified
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## Feature Readiness
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- [x] All functional requirements have clear acceptance criteria
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- [x] User stories cover primary flows (Upload, RAG, Migration, Monitoring)
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- [x] Feature meets measurable outcomes defined in Success Criteria
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- [x] No implementation details leak into specification
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## Notes
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- Spec derived from ADR-023A grilling session (2026-05-15) — all decisions validated
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- Quality: PASS — ready for `/speckit-plan`
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