ai-customer-analysis

Analyze customer transcripts into quote-backed insights with contradictions and decisions.

Updated Feb 15, 2026
One-click install
npx skills add https://github.com/ricable/mcai --skill ai-customer-analysis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-customer-analysis
Source: https://github.com/ricable/mcai/tree/main/.agents/skills/ai-customer-analysis
Command: npx skills add https://github.com/ricable/mcai --skill ai-customer-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill turns messy customer interviews, survey responses, and transcript data into decision-ready insights while reducing hallucinations, cherry-picking, and vague conclusions.

Core Features & Use Cases

  • Verified qualitative analysis: Ground every finding in exact customer wording instead of paraphrases.
  • Contradiction detection: Surface customers who disagree so opposing signals are not averaged away.
  • Actionable product decisions: Convert customer evidence into specific recommendations or explicit non-actions.
  • Use case: A product manager can feed in interview transcripts and get a structured set of insights with quotes, participant references, segments, contradictions, and decisions.

Quick Start

Use the ai-customer-analysis skill to analyze the attached customer transcripts and return verified insights with exact quotes, timestamps, contradictions, and product decisions.

Frequently Asked Questions about ai-customer-analysis

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

FAQPage Schema
How do I analyze customer interview transcripts without hallucinated insights?

To analyze customer interview transcripts without hallucinated insights, use a verification pass that enforces exact-word quoting, participant attribution, and timestamped evidence to prevent fabricated or generic conclusions.

What is the best way to surface contradictions in qualitative research data?

Surfacing contradictions in qualitative research data requires a contradiction detection mechanism that identifies disagreeing participants and explicit counterexamples, ensuring opposing signals are not averaged away during analysis.

How do I turn survey responses into product decisions?

Turn survey responses into product decisions by processing qualitative feedback into decision-ready summaries with quote-backed findings, segmentation, and specific recommendations or explicit non-actions.

Can I use this for qualitative research workflows with unstructured interview notes?

Yes, this handles unstructured interview notes and survey responses by applying a verification pass to extract structured, decision-ready insights with exact customer wording and participant attribution.

Why does my customer analysis output vague or generic conclusions?

Customer analysis produces vague or generic conclusions when lacking a verification pass that enforces exact-word quoting and explicit counterexamples, which grounds findings in specific customer evidence instead of paraphrases.