AutoGineer
Generated banner for Summarize Interview
Generated logo for Summarize Interview

Summarize Interview

Pawel HurynCommunityCreated by Pawel Huryn

  • Skill
  • Content generator
  • Business and productivity
  • MIT
  • No issues found
Download ZIP

From the author

Summarize a customer interview transcript into a structured template with JTBD, satisfaction signals, and action items. Use when processing interview recordings or transcripts, synthesizing discovery interviews, or creating interview summaries.
— the description by Pawel Huryn

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill streamlines the product discovery process by converting raw interview transcripts into a standardized, easy-to-read markdown summary. It focuses on extracting core customer needs, identifying current pain points, and documenting actionable follow-up tasks, ensuring that qualitative research is organized and accessible for product teams.

What it does

  • Parses interview transcripts from text, PDF, or audio sources.
  • Extracts Jobs to Be Done (JTBD) and desired outcomes.
  • Categorizes user satisfaction levels regarding current solutions.
  • Identifies key insights and notable quotes from the conversation.
  • Generates a structured summary template with clear action items.
  • Saves the final summary as a markdown document.

When to use it

  • After conducting customer discovery or user research interviews.
  • When you need to synthesize qualitative feedback for product development.
  • When organizing interview notes for team review or documentation.
  • To track follow-up tasks derived from customer conversations.

Advantages

  • Ensures consistent documentation across all customer interviews.
  • Simplifies complex transcripts into actionable product insights.
  • Facilitates better team alignment on customer needs and pain points.
  • Saves time by automating the extraction of key research data.

Usage examples

“Summarize the attached interview transcript for our new mobile app project.”
The agent reads the transcript and generates a markdown file containing the participant background, current solution analysis, JTBD, insights, and a list of action items.
“Process this pasted interview text and extract the action items for the product team.”
The agent analyzes the text and produces a structured summary highlighting the specific tasks, owners, and deadlines identified during the interview.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/phuryn/summarize-interview/download

  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip summarize-interview.zip -d .agents/skills

Documentation by Pawel Huryn

Summarize Customer Interview

Transform an interview transcript into a structured summary focused on Jobs to Be Done, satisfaction, and action items.

Context

You are summarizing a customer interview for the product discovery of $ARGUMENTS.

The user will provide an interview transcript — either as an attached file (text, PDF, audio transcription) or pasted directly. Read any attached files first.

Instructions

  1. Read the full transcript carefully before summarizing.

  2. Fill in the summary template below. Use "-" if information is unavailable. Replace numeric values with qualitative descriptions if needed (e.g., "not satisfied").

  3. Use clear, simple language — a primary school graduate should be able to understand the summary.

Output Template
**Date**: [Date and time of the interview]
**Participants**: [Full names and roles]
**Background**: [Background information about the customer]

**Current Solution**: [What solution they currently use]

**What They Like About Current Solution**:
- [Job to be done, desired outcome, importance, and satisfaction level]

**Problems With Current Solution**:
- [Job to be done, desired outcome, importance, and satisfaction level]

**Key Insights**:
- [Unexpected findings or notable quotes]

**Action Items**:
- [Date, Owner, Action — e.g., "2025-01-15, Paweł Huryn, Follow up with customer about pricing"]

Save the summary as a markdown document in the user's workspace.

Further Reading

Files

SKILL.md

Summarize Customer Interview

Transform an interview transcript into a structured summary focused on Jobs to Be Done, satisfaction, and action items.

Context

You are summarizing a customer interview for the product discovery of $ARGUMENTS.

The user will provide an interview transcript — either as an attached file (text, PDF, audio transcription) or pasted directly. Read any attached files first.

Instructions

  1. Read the full transcript carefully before summarizing.

  2. Fill in the summary template below. Use "-" if information is unavailable. Replace numeric values with qualitative descriptions if needed (e.g., "not satisfied").

  3. Use clear, simple language — a primary school graduate should be able to understand the summary.

Output Template
**Date**: [Date and time of the interview]
**Participants**: [Full names and roles]
**Background**: [Background information about the customer]

**Current Solution**: [What solution they currently use]

**What They Like About Current Solution**:
- [Job to be done, desired outcome, importance, and satisfaction level]

**Problems With Current Solution**:
- [Job to be done, desired outcome, importance, and satisfaction level]

**Key Insights**:
- [Unexpected findings or notable quotes]

**Action Items**:
- [Date, Owner, Action — e.g., "2025-01-15, Paweł Huryn, Follow up with customer about pricing"]

Save the summary as a markdown document in the user's workspace.

Further Reading

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Security

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Created by
Pawel Huryn
Publisher
Pawel Huryn (Community)
Source
phuryn/pm-skills · pm-product-discovery/skills/summarize-interview · commit 2a12295
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

AutoGineer is not affiliated with or endorsed by Pawel Huryn.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download summarize-interview.zip