paw-ps-research-to-brief

Convert discovery, market, and audience research into a structured product brief with traceability.

85|12|Updated Apr 2, 2026
One-click install
npx skills add https://github.com/pawbytes/skill-suites --skill paw-ps-research-to-brief
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: paw-ps-research-to-brief
Source: https://github.com/pawbytes/skill-suites/tree/main/src/prodig/paw-ps-research-to-brief
Command: npx skills add https://github.com/pawbytes/skill-suites --skill paw-ps-research-to-brief

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Converts scattered discovery, market intelligence, and audience insights into a structured product brief to accelerate decision-making and alignment.

Core Features & Use Cases

  • Automated Synthesis: Aggregates product-context, market intelligence, and audience insights into a single brief with traceability.
  • Stage-based Workflow: Outlines Stage 1 Gather Inputs through Stage 4 Preserve Signals, with clear gating and recommendations.
  • Use Case: Ideal for startups validating new product concepts or teams ensuring research is translated into actionable requirements.

Quick Start

Prompt your AI to convert discovery, market, and audience research into a structured product brief with stage-by-stage traceability.

Frequently Asked Questions about paw-ps-research-to-brief

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I turn scattered discovery research into a structured product brief?

To turn scattered discovery research into a structured product brief, aggregate market intelligence and audience insights, then synthesize them into a decision-ready document with traceability to source materials.

What is the best way to maintain traceability from market intelligence to product decisions?

Maintaining traceability from market intelligence to product decisions requires preserving source signals and appending notes to a product-decisions file, ensuring every requirement links back to its original discovery context.

How do you validate completeness when synthesizing audience insights into a product brief?

Validating completeness when synthesizing audience insights involves checking gathered inputs against required product-context fields before synthesis, ensuring no critical discovery signals are missing from the final brief.

Can I use this stage-based workflow to create a product brief for a new startup concept?

Yes, this stage-based workflow is ideal for startups validating new product concepts, as it gathers inputs, validates completeness, synthesizes the brief, and preserves signals to translate research into actionable requirements.

What files are generated when converting discovery context into a decision-ready brief?

Converting discovery context generates a product-brief.md for the main draft, a signal-notes.md for preserved signals, and an appended product-decisions.md to record sources and decisions clearly.