Specification Quality Checklist: Structured Data Field Mapping and Ingestion¶
Purpose: Validate specification completeness and quality before proceeding to planning Created: 2025-12-18 Updated: 2025-12-18 (post-clarification) Feature: spec.md
Content Quality¶
- No implementation details (languages, frameworks, APIs)
- Focused on user value and business needs
- Written for non-technical stakeholders
- All mandatory sections completed
Requirement Completeness¶
- No [NEEDS CLARIFICATION] markers remain
- Requirements are testable and unambiguous
- Success criteria are measurable
- Success criteria are technology-agnostic (no implementation details)
- All acceptance scenarios are defined
- Edge cases are identified
- Scope is clearly bounded
- Dependencies and assumptions identified
Feature Readiness¶
- All functional requirements have clear acceptance criteria
- User scenarios cover primary flows
- Feature meets measurable outcomes defined in Success Criteria
- No implementation details leak into specification
Clarification Session Summary¶
Session: 2025-12-18
Questions Asked: 3
Decisions Made:
1. Record identification: Require explicit id_field parameter
2. Field weights: Removed from scope (simplification)
3. Metadata defaults: Include all fields when metadata_fields not specified
Notes¶
- All items pass validation
- Spec is ready for implementation planning
- This feature builds upon US 6.1.1 (Unstructured Vector Ingestion and Search) and shares the same vector database persistence infrastructure
- Database source integration (US3) is intentionally lower priority as file-based sources cover most use cases
- Field weights feature intentionally deferred to reduce initial complexity