unified-research-synthesizer

Name: unified-research-synthesizer
Availability: InStock
Author: cole

Merge multi-source research into an evidence-traced strategic brief for marketing workflows.

13|5|Updated Mar 20, 2026

Search Tags:#research #copywriting #synthesize #briefing #audience-insights #unified-research #mechanism-ideation

Ready to run

npx skills add https://github.com/coleschaffer/dtc-copywriting-skills --skill unified-research-synthesizer-coleschaffer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: unified-research-synthesizer
Source: https://github.com/coleschaffer/dtc-copywriting-skills/tree/main/skills/unified-research-synthesizer
Command: npx skills add https://github.com/coleschaffer/dtc-copywriting-skills --skill unified-research-synthesizer-coleschaffer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Consolidates fragmented research inputs into a single, defensible Unified Research Document that serves as the one source of truth for all copy decisions across RMBC workflows.

Core Features & Use Cases

Multi-source synthesis: Merges product descriptions, competitor data, ingredient research, and customer feedback into a structured, evidence-traced brief.
Strategic outputs: Produces ICP profiling, pain/desire matrices, competitive gap maps, ranked proof arsenals, mechanism candidates, and tactical copy recommendations.
Use case: Prepare a copy-ready brief for a DTC supplement launch by feeding product claims, clinical studies, competitor ads, and customer testimonials to guide mechanism ideation and ad creative.

Quick Start

Synthesize my product_description, target_audience, ingredient_research, competitor_data, and customer_feedback into a Unified Research Document that includes ICP profile, pain/desire matrix, ranked proof points, mechanism candidates, and strategic copy recommendations.

Frequently Asked Questions about unified-research-synthesizer

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

FAQPage Schema

How do I synthesize multi-source research into a single copy-ready brief for direct-response marketing?▼

To synthesize multi-source research into a copy-ready brief, merge product descriptions, target audience data, competitor analysis, and customer feedback into one structured document containing ICP profiles, pain/desire matrices, and ranked proof arsenals for strategic copy decisions.

What is a Unified Research Document and when do I need one for RMBC workflows?▼

A Unified Research Document is a defensible, single source of truth consolidating fragmented research inputs for RMBC workflows. You need it when preparing direct-response ad creative, ensuring all copy decisions trace back to evidence like ingredient research and customer testimonials.

How do I create an ICP profile and pain/desire matrix from scattered product and competitor data?▼

Creating an ICP profile and pain/desire matrix involves merging product claims, competitor ads, and customer feedback into an evidence-traced strategic brief. This process identifies your target audience's core desires and maps them against competitive landscape gaps.

Can I use customer feedback and ingredient research to guide mechanism ideation for a DTC supplement launch?▼

Yes, you can use customer feedback and ingredient research to guide mechanism ideation for a DTC supplement launch. Synthesizing these inputs produces ranked proof points and mechanism candidates that directly inform your strategic copy recommendations.

What's the best way to consolidate competitor data and customer testimonials into an evidence-traced strategic brief?▼

The best way to consolidate competitor data and customer testimonials into an evidence-traced brief is through multi-source synthesis. This approach produces a ranked proof arsenal and competitive gap maps, assigning explicit confidence levels to each strategic recommendation.