customer-research

Research customer questions across sources and produce a structured brief with confidence scoring.

Updated Apr 8, 2026
One-click install
npx skills add https://github.com/sun2443/designer-skills --skill customer-research-sun2443
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: customer-research
Source: https://github.com/sun2443/designer-skills/tree/main/customer-support/skills/customer-research
Command: npx skills add https://github.com/sun2443/designer-skills --skill customer-research-sun2443

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you answer customer-facing questions with evidence by consolidating information from multiple connected sources, clarifying confidence, and flagging anything that may require escalation.

Core Features & Use Cases

  • Multi-source customer research: Investigates a customer question, issue history, account context, or related product topic across available internal and external sources.
  • Source attribution and confidence scoring: Produces a structured research brief with confidence levels and notes on what is known vs. uncertain.
  • Contradiction handling and escalation guidance: Identifies disagreements across sources and recommends verification paths for high-stakes topics (e.g., legal, security, pricing, roadmap).
  • Knowledge capture prompts: Suggests saving findings to a knowledge base, drafting an FAQ entry, or documenting a runbook for future reuse.

Quick Start

Use /customer-research with the exact question or topic you need answered.

Frequently Asked Questions about customer-research

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

FAQPage Schema
How do I research customer support questions with source attribution?

Multi-source customer research investigates issue history, account context, and product topics across available sources, synthesizing tiered findings into an actionable research brief with explicit source attribution and confidence scoring.

What's the best way to handle contradictions when investigating customer issues?

Contradiction handling identifies disagreements across tiered sources and recommends verification paths for high-stakes topics, flagging unknowns and escalation conditions within the structured research brief.

How do I capture knowledge from customer support research for future reuse?

Knowledge capture prompts suggest saving research findings to a knowledge base, drafting an FAQ entry, or documenting a runbook for future reuse after completing the customer issue investigation.

Can I use automated research to gather account context before drafting a support response?

Multi-source research gathers account context and background information before drafting a support response, structuring findings into an actionable research brief with confidence levels and source attribution.

Does customer research work for bug investigation and verifying previous communications?

Customer research supports bug investigation and verifying previously communicated information by performing multi-source research across available internal and external sources with explicit source attribution and confidence scoring.