brainstorm

To turn ambiguous software requirements into a concrete MVP, you need collaborative requirements discovery that seeds a living PRD, proposes approaches with trade-offs, and iterates via single-question Q&A to converge on an implementation plan.

Evaluating multiple technical approaches for a new feature requires research-first decision support that inspects your repo and ecosystem conventions to produce 2-3 concrete implementation paths with mapped pros and cons.

Creating a PRD for a complex software task with unclear scope involves immediately seeding a living document with goals, known facts, assumptions, open questions, and acceptance criteria to preserve ideas from the start.

Yes, you can scope a CLI command or automation feature when requirements are multifaceted by driving a structured Q&A convergence loop that records ADR-lite decisions, decomposes subtasks, and outputs a small-PR implementation plan.

You need structured requirements discovery for a software project when requirements are ambiguous, multiple implementation paths exist, or technical trade-offs must be evaluated before prototyping to reduce future rework.

A limitation of using Q&A convergence for technical decision-making is that it processes one question per message, meaning highly complex or deeply nested dependencies may require extended iterative sessions to fully converge on an MVP.