Edit Pending
This Use Case has not been finalized.
Deliver·Production & Documentation·Automation·Developing·DEL-089
Requirements Refinement
Value hypothesis
Implementation starts with documentation that has been made more internally consistent, and hardened against misreading, reducing rework and drift between spec and what's shipped.
Quality · Risk Reduction
A draft requirements document is assessed by an LLM for pre-implementation review. The document (comprising user stories, acceptance criteria, functional specifications, and design intent notes) is checked for gaps, ambiguities, conflicting constraints, and language that could be interpreted differently by engineering and design teams. Issues are flagged for proposed refinements, which the designer resolves against product intent, accepting what sharpens the spec, correcting drift, and rejecting language that should stay deliberately open. This revision creates a document optimized for internal coherence and intelligibility, which then goes into implementation.
Risks in application
Shallow Solutions
The LLM generates confident refinements for ambiguities it cannot distinguish from deliberate openness: a requirement written as "the system handles unsupported file types gracefully" gets rewritten into three specific behaviours the model considers plausible, and the resulting crispness reads as improvement. Engineering builds against the refined version, and the flexibility the original wording preserved for a decision the team hadn't yet made is quietly closed off.
Black Box Rationale
Requirements refinements arrive as edits without traceable reasoning: an ambiguous clause becomes specific, but the basis for the chosen specification is not shown, and the team cannot tell whether the change reflects user research, technical constraint, or LLM convention.
Expertise that differentiates
Business Framing
A requirements document encodes more than explicit constraints: deliberately open clauses that preserve flexibility for later trade-offs, negotiated truces between competing priorities, and context every original reader understood from being in the conversation. An LLM reads only the document and reframes strategic ambiguities as errors to correct. The practitioner judges which ambiguity is sloppy drafting and which is deliberate.
AI Fluency that assures
Task Delegation
A draft requirements document is assessed by an LLM for pre-implementation review.
Product Description
The document (comprising user stories, acceptance criteria, functional specifications, and design intent notes) is checked for gaps, ambiguities, conflicting constraints, and language that could be interpreted differently by engineering and design teams.
Deployment Diligence
A requirements document encodes more than explicit constraints: deliberately open clauses that preserve flexibility for later trade-offs, negotiated truces between competing priorities, and context every original reader understood from being in the conversation. An LLM reads only the document and reframes strategic ambiguities as errors to correct. The practitioner judges which ambiguity is sloppy drafting and which is deliberate.
Accepting what sharpens the spec, correcting drift, and rejecting language that should stay deliberately open.
Possible Indicators
Error / defect rate
Number of requirements defects (ambiguities, gaps, contradictions, misaligned non-functional requirements) caught and corrected in the refinement pass before implementation begins, versus baseline rate of equivalent defects reaching engineering as questions or rework.
Error prevention rate
Share of potential specification-interpretation errors prevented by pre-implementation refinement, measured as defects closed before they become rework versus defects that still reach implementation despite the refinement pass.