customer-research

Search documentation, knowledge bases, CRM, and tickets to synthesize confidence-scored answers.

Updated Mar 2, 2026
One-click install
npx skills add https://github.com/DMT123/claude-skills-collection --skill customer-research-dmt123
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: customer-research
Source: https://github.com/DMT123/claude-skills-collection/tree/main/marketplace/customer-support/customer-research
Command: npx skills add https://github.com/DMT123/claude-skills-collection --skill customer-research-dmt123

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the challenge of answering customer questions accurately and efficiently by systematically searching and synthesizing information from various sources. It helps in understanding customer needs, account contexts, and providing confidence-scored answers.

Core Features & Use Cases

  • Multi-Source Research: Searches across documentation, knowledge bases, CRM, support tickets, and external resources.
  • Confidence Scoring: Provides a clear confidence level for each answer.
  • Structured Synthesis: Presents findings with clear attribution and caveats.
  • Use Case: A customer asks a complex question about a product feature's compatibility with their specific setup. This Skill can be used to research the answer across product docs, past support tickets, and internal discussions to provide a well-supported response.

Quick Start

Research customer questions by searching across documentation, knowledge bases, and connected sources, then synthesize a confidence-scored answer.

Frequently Asked Questions about customer-research

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

FAQPage Schema
How do I synthesize customer support answers from multiple knowledge sources?

To synthesize customer support answers, you research inquiries by systematically searching documentation, knowledge bases, CRM, and support tickets. This provides confidence-scored answers with clear attribution and caveats for complex account management scenarios.

What is the best way to handle contradictions in customer documentation research?

Handling contradictions in customer documentation research involves prioritizing authoritative internal sources over external resources. The mechanism identifies the most reliable information to provide a confidence-scored answer with appropriate caveats.

Can I research product feature compatibility using past support tickets and CRM data?

Yes, you can research product feature compatibility by searching across connected CRM data, past support tickets, and product documentation. This multi-source approach generates well-supported, confidence-scored responses for specific customer setups.

How does confidence scoring work for customer insights generated from a knowledge base?

Confidence scoring for customer insights works by evaluating the reliability of information synthesized from diverse sources. It assigns a clear confidence level to each answer, presenting findings with clear attribution and caveats.

When should I prioritize internal documentation over external resources for customer inquiries?

You should prioritize internal documentation over external resources for customer inquiries whenever resolving contradictions. Internal sources are treated as authoritative, ensuring the synthesized answer reflects the most reliable account management information.