1.9 KiB
1.9 KiB
Specification Quality Checklist: Multilingual NLP Entity Inherence Classifier
Purpose: Validate specification completeness and quality before proceeding to planning Created: 2026-08-19 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
Notes
- Initial requirements documented from user audio brief and refined with POC constraints.
- ECP defined as Entity Context Profile with materialized JSON snapshots.
- Tier 1 (deterministic rules) defined as mandatory core; Tier 2 (embeddings) and Tier 3 (LLM) defined as optional/configurable (LLM off by default, no API key required).
- Decision rules explicitly codified for all 4 categories and derived
is_inherentboolean. - Success criteria scoped to a controlled 24-case POC benchmark suite (6 languages × 4 decision types).
- Structured error codes defined (
invalid_ecp_json,invalid_markdown,unsupported_language,empty_content,missing_required_field). - Explicit out-of-scope declarations enforced (No REST API, No package publishing, No queues/workers, No runtime DB/Neo4j).