This Langflow flow implements a structured PRD drafting pipeline.

It begins by ingesting raw notes (meeting transcripts, bullet points, brainstorm text, or mixed sources) and optionally takes additional context such as the target audience, constraints, business goals, and existing product behavior. Normalization components clean the input, remove duplication, and preserve important details such as decisions, assumptions, and action items.

An extraction stage identifies key PRD entities: problem statement, user personas, goals and non-goals, functional requirements, constraints, dependencies, risks, and open questions. The flow can also derive user stories and acceptance criteria, ensuring requirements are testable and clear.

A PRD assembly stage formats the extracted entities into a consistent document structure. This includes sections like background, goals, scope, requirements, UX notes, analytics/metrics, rollout plan, and validation criteria.

Finally, structured output components generate the PRD in a predictable format (Markdown/JSON/text), making it easy to paste into Notion, Confluence, Jira tickets, or an internal docs system. The workflow can be iterated by re-running with feedback, producing improved drafts without losing consistency.

The flow can be extended to fit your team’s PRD standard and tooling. Add integrations to automatically publish drafts into Notion/Confluence, create Jira epics and tickets from extracted requirements, and route sections to stakeholders for review. You can store prior PRDs and writing conventions in a vector store to match your house style and terminology. For higher rigor, add validation checks (e.g., every requirement must have acceptance criteria, metrics must be defined, and scope must be explicit), plus a revision loop that incorporates reviewer feedback and produces a v2 draft. Advanced setups can include a "requirements-to-test" generator that produces QA test cases from acceptance criteria and a "release plan" generator for rollout, comms, and monitoring.