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12 lessons · ~3 hours

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8 min

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🔒vault.honuvibe.ai/library/real-world/customer-research-agent

Real-World ProjectUpdated 3 days ago · by Mizuho H.

Building a Customer Research Agent with Claude

A reusable workflow for synthesizing interview transcripts into actionable insights — runnable in Claude in under five minutes, with examples in English and 日本語.

12 min lessonIntermediateEN / 日本語

What you'll build

A multi-step Claude workflow that processes raw interview transcripts
Auto-tagging that surfaces themes, pain points, and implicit needs
A one-page synthesis brief, ready to share with your team
Export to Notion, Google Docs, or your team wiki

The workflow

Input

Raw interview transcripts

Extract

Themes, quotes, signals

Tag

Pain points & needs

Synthesize

One-page insights brief

The prompt

Claude · System Prompt

# Role
You are a senior product researcher analyzing customer
interviews for {{ company }}.

# Task
Given the transcript below, extract:

  1. Top 3 pain points (with verbatim quotes)
  2. Repeated themes across the conversation
  3. Implicit needs the customer didn't state directly
  4. Three follow-up questions worth asking next time

# Format
Return as structured markdown. Use blockquotes for
verbatim customer language. Tag each pain point with
a category from: [workflow, tooling, communication,
onboarding, reporting, other].

# Transcript
{{ transcript }}

Example output

Claude's response

Top pain points

01Tool switching breaks morning workflow

“I lose 20 minutes every morning just opening the same six tabs across two browsers.”

02Onboarding new team members takes too long

“We've documented things three times and people still ask the same questions in week one.”

03Friday status reports are entirely manual

“Every week I rebuild the same dashboard by hand. There has to be a better way.”

Recurring themes

Time lost to context-switching7 mentions
Documentation that doesn't get used4 mentions
Manual reporting overhead3 mentions

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