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.