kwp-customer-support-customer-research

Synthesize customer inquiry data from documentation, CRM records, and communication channels.

7|5|Updated May 7, 2026
One-click install
npx skills add https://github.com/14790897/MiQi --skill kwp-customer-support-customer-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kwp-customer-support-customer-research
Source: https://github.com/14790897/MiQi/tree/main/miqi/skills/kwp/customer-support/customer-research
Command: npx skills add https://github.com/14790897/MiQi --skill kwp-customer-support-customer-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the challenge of fragmented information by aggregating data from internal documentation, CRM records, and communication channels to provide a unified, high-confidence answer to customer inquiries.

Core Features & Use Cases

  • Multi-Source Synthesis: Cross-references internal knowledge bases, support tickets, and team communications to ensure accuracy.
  • Confidence Scoring: Provides a clear confidence level for every answer, helping agents decide whether to escalate or respond directly.
  • Knowledge Capture: Facilitates the creation of new FAQ or runbook entries based on research findings to prevent duplicate work.

Quick Start

Use the kwp-customer-support-customer-research skill to investigate the reported SSO login issue for Acme Corp by checking all available internal sources.

Frequently Asked Questions about kwp-customer-support-customer-research

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

FAQPage Schema
How do I synthesize customer support data from multiple sources like CRM and internal docs?

Multi-source synthesis aggregates internal documentation, CRM records, and team communication channels to provide a unified, high-confidence answer to customer inquiries. Cross-referencing these sources ensures support agents receive accurate and evidence-based context.

How does confidence scoring work for customer support research?

Confidence scoring evaluates synthesized research findings from connected knowledge bases and support platforms, assigning a clear confidence level to every generated answer. This clear metric helps support agents decide whether to escalate an issue or respond directly.

Can I use this skill to investigate issues using existing support tickets and team communications?

Yes, the skill performs multi-source research by cross-referencing internal knowledge bases, support tickets, and team communications to investigate issues. It retrieves account context and topic data to deliver evidence-based responses with clear attribution.

What internal tools and knowledge bases are required for customer research synthesis?

This skill requires access to connected knowledge bases, support platforms, and communication tools to ensure high-confidence information delivery. These dependencies are necessary to aggregate fragmented data and provide evidence-based responses with clear attribution.

How do I create new FAQ or runbook entries from customer support research findings?

Knowledge capture facilitates creating new FAQ or runbook entries directly from multi-source research findings. This prevents duplicate work by documenting synthesized customer insights and issue investigation results into accessible internal documentation.

What is the best way to retrieve account context for a customer support inquiry?

The best way to retrieve account context is performing multi-source research that synthesizes CRM records and team communication channels. This approach provides evidence-based responses with clear attribution, ensuring high-confidence information delivery for support agents.