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MeerkatAIChina
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interview-transcript-processor

Convert raw interview transcripts into structured summaries and seven-layer customer needs maps.

Updated Aug 25, 2026
Search Tags:#user research#qualitative research#interview analysis#transcript processing#consumer insights#html visualization#customer needs map
One-click install
npx skills add https://github.com/MeerkatAIChina/meerkat-skills-activity --skill interview-transcript-processor-meerkataichina
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: interview-transcript-processor
Source: https://github.com/MeerkatAIChina/meerkat-skills-activity/tree/main/skills/interview-transcript-processor
Command: npx skills add https://github.com/MeerkatAIChina/meerkat-skills-activity --skill interview-transcript-processor-meerkataichina

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Raw user interview transcripts are unstructured and time-consuming to analyze, making it hard for product and research teams to extract consistent, comparable insights across interviews. ## Core Features & Use Cases - Structured Interview Summary: Cleans transcripts and fills a standardized summary template covering user profile, behaviors, pain points, decision factors, Key Aha Moments, and innovation inspirations. - Customer Needs Map (7 Layers): Maps findings across values, psychological meaning, scenarios, decision criteria, emotions, outcomes, and five senses, exported as Excel-ready CSV tables. - HTML Visualization: Generates an HTML report with the layered needs map, decision-factor radar chart, emotion curve, five-senses scores, and key quotes. - Use Case: A consumer goods researcher pastes a 45-minute depth interview transcript and receives a shareable summary, an Excel needs map, and a presentation-ready HTML visualization in one pass. ## Quick Start Process the following interview transcript into a structured summary and a seven-layer customer needs map with Excel and HTML outputs.

Frequently Asked Questions about interview-transcript-processor

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

FAQPage Schema
How do I turn interview transcripts into structured user insights?▼

Paste the raw transcript with project background (name, topic, target users, purpose). The skill cleans filler words, tags content by scenario, behavior, feeling, and need, then outputs a summary, an Excel needs map, and an HTML visualization.

What is a seven-layer customer needs map in user research?▼

It is a framework that decomposes customer needs into values, psychological meaning, scenario tasks, decision criteria, emotions, outcomes, and five senses. Each layer is filled with user quotes, distilled insights, and business implications.

What output formats does interview transcript analysis produce?▼

Three outputs are produced: a Markdown interview summary following a fixed template, CSV data structured for Excel with four sheets, and a self-contained HTML file using ECharts for radar, emotion curve, and five-senses charts.

Can this method be used for focus groups or only one-on-one interviews?▼

It supports depth interviews, focus groups, and user observation notes. For multi-participant sessions, label speakers in the transcript so quotes and decision factors can be attributed correctly during structuring.

What are the limitations of automated transcript processing for user research?▼

Quality depends on transcript completeness and clarity; ambiguous or heavily colloquial passages may need manual review. Key Aha Moments require genuine conflict or counterintuitive findings, so thin interviews yield weaker insights.

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