customer-research

Identify customer questions, gather sources, and generate confidence-scored answers.

14|3|Updated Jan 19, 2026
One-click install
npx skills add https://github.com/kevinlin/cowork-z --skill customer-research-kevinlin
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: customer-research
Source: https://github.com/kevinlin/cowork-z/tree/main/src-tauri/resources/skill-templates/support-customer-research
Command: npx skills add https://github.com/kevinlin/cowork-z --skill customer-research-kevinlin

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Researchers and customer-facing teams spend hours cross-referencing docs, tickets, and knowledge sources to answer customer questions. This skill streamlines that process by centralizing multi-source research and delivering a confidence-scored answer.

Core Features & Use Cases

  • Multi-source question analysis: identifies the customer's question and aggregates evidence from official docs, CRM data, and internal communications.
  • Evidence synthesis with confidence scoring: combines findings across sources and assigns a clear confidence level.
  • Use Case: Customer success inquiries, product feedback clarifications, and account context research.

Quick Start

Summarize a customer question with supporting sources from docs, tickets, and knowledge bases.

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 insights across multiple sources like docs and CRM records?▼

To synthesize customer insights across multiple sources, the skill identifies the customer question and applies a tiered source approach. It gathers official docs, CRM data, and team communications to corroborate findings and return a structured synthesis.

What is the best way to cross-reference customer tickets and knowledge bases for product feedback clarifications?▼

Cross-referencing customer tickets and knowledge bases is best handled by centralizing multi-source research. The skill aggregates evidence to deliver a confidence-scored answer for product feedback clarifications and account context research.

How does confidence scoring work for customer research answers derived from internal communications and external references?▼

Confidence scoring works by combining findings across various sources and assigning a clear confidence level. The skill evaluates official docs, CRM records, and external references to corroborate the evidence supporting the final answer.

Can I use this approach for customer success inquiries without manually checking each knowledge source?▼

Yes, you can use this approach for customer success inquiries without manual checks. The skill automates cross-referencing across docs, tickets, and knowledge bases, returning a structured synthesis with direct answers and recommended next steps.

What components are included in the structured synthesis returned for customer research?▼

The structured synthesis returned for customer research includes a direct answer, confidence level, supporting evidence, caveats, and recommended next steps. This format ensures researchers receive comprehensive, actionable context.