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Interview Synthesis

Checked
product-on-purpose·v1.0.0·other·Apache-2.0

<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->

Install on your platform

Showing OpenClaw.

  1. 1

    Run this in your terminal

    terminal
    $ 

What we know about this skill

Publisher

product-on-purpose

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned product-on-purpose/pm-skills at 1cef1a9eae.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
6 files, 600 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill synthesizes interview transcripts to identify patterns and insights related to user needs, motivations, and pain points. It analyzes qualitative data from customer interviews, extracting key themes and summarizing findings in a structured format. The output helps product teams understand users better and inform product decisions based on direct feedback.

When to use it

  • Early-stage product exploration: Quickly digest multiple user interviews to identify initial problem areas for a new product or feature.
  • Usability testing analysis: Analyze interview transcripts from usability tests to pinpoint friction points in the user experience.
  • Customer feedback review: Summarize recurring themes and sentiments expressed across numerous customer interviews.
  • Competitive research: Synthesize interview data gathered about competitor products to understand user perceptions and unmet needs.

Key capabilities

  • Theme extraction: Identifies recurring topics and patterns within interview transcripts.
  • Sentiment analysis: Determines the emotional tone (positive, negative, neutral) expressed by users.
  • Summary generation: Creates concise summaries of key findings from the interviews.
  • Pattern identification: Highlights connections between different user responses and behaviors.

Example prompts

  • "Synthesize these interview transcripts and identify the top 3 pain points related to [specific task]."
  • "Analyze these customer interviews for recurring themes about their experience with [product name]."
  • "Summarize the key motivations expressed by users in these interviews regarding [feature area]."

Tips & gotchas

The quality of the synthesis depends heavily on the clarity and completeness of the interview transcripts. Ensure transcripts are accurately transcribed and include sufficient context for accurate analysis.