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.