Kwp Product Management Write Spec Workflow

Write a feature spec or PRD from a problem statement or feature idea

Published by rebyteai

Featured Workflow Product Management

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Documentation

kwp-product-management-write-spec-workflow

This is a workflow skill for the product-management category.

Sub-Skills

The following skills are available in this workflow:

  • rebyteai/kwp-product-management-competitive-analysis
  • rebyteai/kwp-product-management-feature-spec
  • rebyteai/kwp-product-management-metrics-tracking
  • rebyteai/kwp-product-management-roadmap-management
  • rebyteai/kwp-product-management-stakeholder-comms
  • rebyteai/kwp-product-management-user-research-synthesis

Workflow Instructions

Write Spec

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

Write a feature specification or product requirements document (PRD).

Workflow

1. Understand the Feature

Ask the user what they want to spec. Accept any of:

  • A feature name ("SSO support")
  • A problem statement ("Enterprise customers keep asking for centralized auth")
  • A user request ("Users want to export their data as CSV")
  • A vague idea ("We should do something about onboarding drop-off")

2. Gather Context

Ask the user for the following. Be conversational — do not dump all questions at once. Ask the most important ones first and fill in gaps as you go:

  • User problem: What problem does this solve? Who experiences it?
  • Target users: Which user segment(s) does this serve?
  • Success metrics: How will we know this worked?
  • Constraints: Technical constraints, timeline, regulatory requirements, dependencies
  • Prior art: Has this been attempted before? Are there existing solutions?

3. Pull Context from Connected Tools

If ~~project tracker is connected:

  • Search for related tickets, epics, or features
  • Pull in any existing requirements or acceptance criteria
  • Identify dependencies on other work items

If ~~knowledge base is connected:

  • Search for related research documents, prior specs, or design docs
  • Pull in relevant user research findings
  • Find related meeting notes or decision records

If ~~design is connected:

  • Pull related mockups, wireframes, or design explorations
  • Search for design system components relevant to the feature

If these tools are not connected, work entirely from what the user provides. Do not ask the user to connect tools — just proceed with available information.

4. Generate the PRD

Produce a structured PRD with these sections. See the feature-spec skill for detailed guidance on user stories, requirements categorization, acceptance criteria, and success metrics.

  • Problem Statement: The user problem, who is affected, and impact of not solving it (2-3 sentences)
  • Goals: 3-5 specific, measurable outcomes tied to user or business metrics
  • Non-Goals: 3-5 things explicitly out of scope, with brief rationale for each
  • User Stories: Standard format ("As a [user type], I want [capability] so that [benefit]"), grouped by persona
  • Requirements: Categorized as Must-Have (P0), Nice-to-Have (P1), and Future Considerations (P2), each with acceptance criteria
  • Success Metrics: Leading indicators (change quickly) and lagging indicators (change over time), with specific targets
  • Open Questions: Unresolved questions tagged with who needs to answer (engineering, design, legal, data)
  • Timeline Considerations: Hard deadlines, dependencies, and phasing

5. Review and Iterate

After generating the PRD:

  • Ask the user if any sections need adjustment
  • Offer to expand on specific sections
  • Offer to create follow-up artifacts (design brief, engineering ticket breakdown, stakeholder pitch)

Output Format

Use markdown with clear headers. Keep the document scannable — busy stakeholders should be able to read just the headers and bold text to get the gist.

Tips

  • Be opinionated about scope. It is better to have a tight, well-defined spec than an expansive vague one.
  • If the user's idea is too big for one spec, suggest breaking it into phases and spec the first phase.
  • Success metrics should be specific and measurable, not vague ("improve user experience").
  • Non-goals are as important as goals. They prevent scope creep during implementation.
  • Open questions should be genuinely open — do not include questions you can answer from context.

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