discover-interview-synthesis

discover-interview-synthesis is a skill for Claude Code from product-on-purpose/pm-skills. It costs 69 tokens per session (1,083 once invoked), scanned A, original, Apache-2.0.

A structured summary of several user research interviews, customer calls, or usability sessions. It groups repeated observations into insights and connects them to user needs and recommendations.

In plain words
What is it for?
Use it after interviews or usability testing to brief stakeholders, guide product decisions, and prepare for defining the problem or planning ideas.
Why use it?
It prevents research from becoming a pile of disconnected quotes and helps teams see patterns across different people.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the pm-skills plugin — 69 skills, 11 commands, 6 agents, 2 hooks shipped together

Good fit Use it after interviews or usability testing to brief stakeholders, guide product decisions, and prepare for defining the problem or planning ideas.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/product-on-purpose/pm-skills/discover-interview-synthesis
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add product-on-purpose/pm-skills --skill discover-interview-synthesis
Clone the repo
git clone --depth 1 https://github.com/product-on-purpose/pm-skills

Made for: Claude Code.

Or install pm-skills, the plugin that ships this one along with the rest of its 69 skills, 11 commands, 6 agents, 2 hooks.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for discover-interview-synthesis

README.md
[![agentmods](https://agentmods.dev/badge/skills/product-on-purpose/pm-skills/discover-interview-synthesis/github.svg)](https://agentmods.dev/skills/product-on-purpose/pm-skills/discover-interview-synthesis)
Your own site
<a href="https://agentmods.dev/skills/product-on-purpose/pm-skills/discover-interview-synthesis"><img src="https://agentmods.dev/badge/skills/product-on-purpose/pm-skills/discover-interview-synthesis/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for discover-interview-synthesis

Your own site · 80×15
<a href="https://agentmods.dev/skills/product-on-purpose/pm-skills/discover-interview-synthesis"><img src="https://agentmods.dev/badge/skills/product-on-purpose/pm-skills/discover-interview-synthesis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,083 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 15 Sept 2026
  • Snyk pass 15 Sept 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00069 $0.01083
Opus 5.5 $0.00028 $0.00433
Sonnet 5.5 $0.00014 $0.00217
Haiku 4.5 $0.00007 $0.00108

Measured 2mo ago against content hash 2b7918327a11, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

discover-interview-synthesis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/discover-interview-synthesis/SKILL.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Interview Synthesis

An interview synthesis transforms raw user research data into structured insights that drive product decisions. Rather than simply listing what participants said, a good synthesis identifies patterns across conversations, connects observations to underlying user needs, and translates findings into actionable recommendations.

When to Use

  • After completing a round of user interviews (typically 5+ participants)
  • Following customer discovery calls or sales feedback sessions
  • After usability testing sessions to consolidate observations
  • When stakeholders need a summary of research findings
  • Before ideation sessions to ground the team in user reality

When NOT to Use

  • You are summarizing one internal meeting for its attendees -> use foundation-meeting-recap
  • You need patterns across multiple meetings over time -> use foundation-meeting-synthesize
  • Your data is survey responses rather than interviews -> use measure-survey-analysis
  • The findings are synthesized and you are ready to frame the problem -> use define-problem-statement
  • You have synthesized findings and want to map them onto a customer's journey across stages and touchpoints -> use discover-journey-map

Instructions

When asked to synthesize interview findings, follow these steps:

  1. Gather the Raw Material Collect all interview notes, transcripts, or recordings. Ensure you have data from at least 3 participants to identify meaningful patterns. Note the research objective and methodology used.

  2. Create Participant Profiles Document each participant with relevant context: their role, segment, tenure, and any notable characteristics. This helps readers assess the representativeness of findings.

  3. Identify Recurring Themes Read through all notes and tag observations by topic. Look for themes that appear across multiple participants (ideally 3+). Distinguish between frequently mentioned topics and one-off comments.

Read the full file on GitHub · 93 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 93 lines · 69 tokens per session scan A 2b7918327a11

Subscribe to this mod's changes

discover-interview-synthesis is a skill published in the GitHub repository product-on-purpose/pm-skills (769 stars, last pushed 2d ago), licensed Apache-2.0. It adds 69 tokens to every session and 1,083 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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