# Specification Quality Checklist: LLM Table Translation Service

**Purpose**: Validate specification completeness and quality before proceeding to planning  
**Created**: 2026-05-08  
**Updated**: 2026-05-08 (post-review)  
**Feature**: [spec.md](../spec.md)

## Content Quality

- [x] No implementation details (languages, frameworks, APIs) leak into spec.md
- [x] Focused on user value and business needs — translation workflow, dictionary management, scheduling for operational stakeholders
- [x] Written for non-technical stakeholders — uses business terminology throughout
- [x] All mandatory sections completed (User Scenarios, Clarifications, Requirements, Key Entities, Success Criteria, Assumptions, Access Control Matrix)

## UX Consistency

- [x] Functional requirements fully support all flows in ux_reference.md (Flows A–G, updated for Superset API execution)
- [x] Error handling requirements match all 'Error Experience' scenarios (A–I) in ux_reference.md
- [x] No requirements contradict the defined User Persona or Context
- [x] UX principles (preview gates manual runs, traceability, graceful degradation, cost awareness) are reflected in functional requirements
- [x] INSERT execution via Superset API is consistent across spec, UX, quickstart, and contracts

## Requirement Completeness

- [x] No [NEEDS CLARIFICATION] markers remain — all post-review ambiguities resolved in Clarifications sessions
- [x] Requirements are testable and unambiguous — each FR describes a specific, verifiable behavior
- [x] Success criteria are measurable — 15 SC items include specific percentages, time bounds, or coverage targets
- [x] Success criteria are technology-agnostic (no implementation details)
- [x] All acceptance scenarios are defined — 7 user stories with 41 total acceptance scenarios
- [x] Edge cases are identified — 19 edge cases covering NULL values, missing tables, large datasets, concurrency, LLM failures, composite keys, dictionary duplicates, schedule overlaps, retention gap, Superset API errors, SQL injection
- [x] Scope is clearly bounded — covers configuration, preview quality gate, execution via Superset API, history, dictionary management, feedback loop, and scheduling; dialect-aware SQL generation (PostgreSQL/Greenplum, ClickHouse)
- [x] Dependencies and assumptions identified — 22 assumptions

## Feature Readiness

- [x] All functional requirements have clear acceptance criteria (mapped to user story acceptance scenarios)
- [x] User scenarios cover primary flows: Configuration (P1) → Preview Quality Gate + Dictionary (P2) → Superset API Execution + Feedback + Scheduling (P3) → Audit (P4)
- [x] Feature meets measurable outcomes defined in Success Criteria
- [x] No implementation details leak into specification
- [x] Feature aligns with existing ss-tools architecture patterns (plugin system, Superset integration, LLM provider, scheduler, notification, RBAC)
- [x] Contradictions resolved: FR-023 (snapshot isolation), dictionary conflict model (overwrite/keep existing), preview model (quality gate), auto-insert for scheduled runs (after first successful manual run)
- [x] New entities added: TranslationBatch, TranslationPreviewSession, TranslationPreviewRecord, MetricSnapshot
- [x] Event model expanded: nullable run_id, terminal states (succeeded/partial/failed/cancelled/skipped), pre-run events
- [x] Access control matrix defined with ownership constraints
- [x] Dialect-aware SQL generation declared (PostgreSQL/Greenplum + ClickHouse, detected from Superset connection)
- [x] Retention gap resolved: MetricSnapshot persistence before event pruning

## Notes

- Post-review session resolved 3 critical contradictions and 10+ medium gaps.
- FR count: 49 | SC count: 15 | Key entities: 10 | Edge cases: 19
- Preview model clarified as quality gate (not row-level approval for all rows).
- INSERT execution standardized on Superset `/api/v1/sqllab/execute/` API.
- All manual copy/paste SQL Lab references removed from spec, UX, quickstart, and contracts.
- Specification is ready for the next phase (`/speckit.plan` re-validation or `/speckit.implement`).