Research

Conducts evidence-based research for competitive auditing and market analysis.

28|6|Updated Apr 23, 2026
One-click install
npx skills add https://github.com/EveryInc/Marketing-OS --skill research-everyinc
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Research
Source: https://github.com/EveryInc/Marketing-OS/tree/main/marketing-science/research
Command: npx skills add https://github.com/EveryInc/Marketing-OS --skill research-everyinc

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill solves the problem of unverified or anecdotal marketing strategy by providing a rigorous, evidence-led framework for gathering and synthesizing market, customer, and competitive intelligence.

Core Features & Use Cases

  • Evidence Ledger: Maintains a structured record of claims, sources, and confidence levels to prevent bias.
  • Competitive Auditing: Provides a standardized method for auditing direct, indirect, and aspirational competitors across eight key dimensions.
  • Strategic Synthesis: Transforms raw research into actionable strategic reads, separating verified facts from hypotheses and directional signals.

Quick Start

Use the Research skill to conduct a competitive audit and build an evidence ledger for the new product positioning project.

Frequently Asked Questions about Research

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

FAQPage Schema
How do I conduct a competitive audit for product positioning?

A competitive audit for product positioning systematically evaluates direct, indirect, and aspirational competitors across eight key dimensions. It uses an evidence ledger to record claims, sources, and confidence levels, preventing bias and ensuring strategic reads are based on verified facts.

What is an evidence ledger in market research?

An evidence ledger in market research is a structured record that tracks claims, sources, and confidence levels. It separates verified facts from hypotheses and directional signals, ensuring your positioning and messaging strategy remains evidence-based rather than anecdotal.

How do I synthesize customer discovery research into actionable strategy?

Strategic synthesis transforms raw customer discovery research into actionable messaging strategy by applying a positioning matrix framework. It distinguishes verified facts from hypotheses, converting market landscape analysis into evidence-based strategic reads for decision support.

Can I use this research approach for market landscape analysis without prior data?

Market landscape analysis requires gathering raw market, customer, and competitive intelligence before synthesis. You build an evidence ledger during the research process to structure incoming data, ensuring your brand character and positioning strategy emerge from verified facts rather than assumptions.

What is the best way to prevent bias when building a messaging strategy?

The best way to prevent bias in messaging strategy is to maintain a structured evidence ledger that rigorously tracks claims, sources, and confidence levels. This evidence-led framework ensures strategic decisions rely on verified competitive audit data rather than unverified anecdotal claims.

When should I not use an evidence-based research framework?

An evidence-based research framework may not suit rapid prototyping or scenarios requiring immediate directional guesses. It demands rigorous adherence to a structured evidence ledger and competitive audit, making it less ideal when you lack the time to separate verified facts from hypotheses.