# Specification Quality Checklist: LLM Dataset Orchestration

**Purpose**: Validate specification completeness and quality before proceeding to planning  
**Created**: 2026-03-16  
**Feature**: [spec.md](../spec.md)

## Content Quality

- [x] No implementation details (languages, frameworks, APIs)
- [x] Focused on user value and business needs
- [x] Written for non-technical stakeholders
- [x] All mandatory sections completed

## UX Consistency

- [x] Functional requirements fully support the 'Happy Path' in ux_reference.md
- [x] Error handling requirements match the 'Error Experience' in ux_reference.md
- [x] No requirements contradict the defined User Persona or Context

## Requirement Completeness

- [x] No [NEEDS CLARIFICATION] markers remain
- [x] Requirements are testable and unambiguous
- [x] Success criteria are measurable
- [x] Success criteria are technology-agnostic (no implementation details)
- [x] All acceptance scenarios are defined
- [x] Edge cases are identified
- [x] Scope is clearly bounded
- [x] Dependencies and assumptions identified

## Feature Readiness

- [x] All functional requirements have clear acceptance criteria
- [x] User scenarios cover primary flows
- [x] Feature meets measurable outcomes defined in Success Criteria
- [x] No implementation details leak into specification

## Notes

- Validation completed against [spec.md](../spec.md) and [ux_reference.md](../ux_reference.md).
- Automatic documentation, guided clarification, and Superset-derived dataset execution are all represented as independently testable user journeys.
- Error recovery is aligned between the UX reference and the functional requirements, especially for partial filter import, missing run-time values, and conflicting metadata.
- The specification is ready for the next phase.