Skills DirectorySkills Directory
SkillsLearnSecurityCategoriesDocsCommunityBlog
Sign InSubmit Skill
Skills Directory

Security-tested agent skills for Claude, coding agents, and AI workflows.

Directory

  • Browse Skills
  • All Skills A–Z
  • Claude Skills
  • Claude Code Skills
  • Agent Skills
  • Categories
  • Authors
  • Submit a Skill

Learn

  • Learn Hub
  • Install Claude Skills
  • Write SKILL.md
  • Skills vs MCP
  • Directories Compared

Security

  • Security
  • Methodology
  • Secure Claude Skills
  • Security Badges

Company

  • About
  • Community
  • Blog
  • API Docs
  • Advertise

2026 Skills Directory. All rights reserved.

ProTermsPrivacyRefunds
Back to skills

Discover Interview Synthesis

ASecurity

Synthesizes user research interviews into actionable insights, patterns, and recommendations. Use after conducting user interviews, customer calls, or usability sessions to extract and communicate findings across participants. Distinct from foundation-meeting-recap, which summarizes one internal meeting for its attendees; this skill aggregates research conversations into evidence-backed findings.

36 stars
0 votes
0 copies
0 views
Added 9/22/2026
researchgotestinggit

Security Analysis

A100/100

Scanned 9/22/2026

Install to Claude Code

$npx -y skills add NVlabs/Skill2Env --skill discover-interview-synthesis --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Discover Interview Synthesis?

Add the live security badge to your README — it updates automatically with every re-scan.

Security grade badge for Discover Interview Synthesis
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/nvlabs-discover-interview-synthesis/badge)](https://www.skillsdirectory.com/skills/nvlabs-discover-interview-synthesis)

More formats (shields.io, HTML) on the badges page.

Download with Pro
Files
SKILL.md
---
name: discover-interview-synthesis
description: Synthesizes user research interviews into actionable insights, patterns, and recommendations. Use after conducting user interviews, customer calls, or usability sessions to extract and communicate findings across participants. Distinct from foundation-meeting-recap, which summarizes one internal meeting for its attendees; this skill aggregates research conversations into evidence-backed findings.
license: Apache-2.0
metadata:
  phase: discover
  version: "2.2.0"
  updated: 2026-07-05
  category: research
  frameworks: [triple-diamond, lean-startup, design-thinking]
  author: product-on-purpose
---
<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
# 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.

4. **Extract Meaningful Quotes**
   Capture 3-5 verbatim quotes per theme that powerfully illustrate the insight. Good quotes are specific, emotional, or particularly articulate. Always attribute quotes to participant IDs.

5. **Synthesize into Insights**
   Transform themes into insight statements. An insight goes beyond observation ("users mentioned X") to interpretation ("users need Y because of Z"). Connect what you heard to why it matters.

6. **Formulate Recommendations**
   Based on the insights, propose prioritized actions. Each recommendation should tie directly to an insight. Note confidence level based on strength of evidence.

7. **Document Limitations**
   Acknowledge what you didn't learn, sample biases, or areas needing further research. Honest limitations increase credibility.

## Output Format

Use the template in `references/TEMPLATE.md` to structure the output. A complete synthesis fills every template section: Research Overview; Key Themes; Notable Quotes; Insights; Recommendations; and Appendix.

## Quality Checklist

Before finalizing, verify:

- [ ] Themes are supported by evidence from 3+ participants
- [ ] Quotes are verbatim and attributed to participant IDs
- [ ] Insights explain "why" not just "what"
- [ ] Recommendations are specific and actionable
- [ ] Participant identities are protected (no PII)
- [ ] Limitations and biases are acknowledged

## Examples

See `references/EXAMPLE.md` for a completed example.

Attribution

NVlabsNVlabs
View sourceMore from NVlabs →
SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments (0)

No comments yet. Be the first to comment!

SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Related Skills

Competitor Analysis

This skill provides comprehensive analysis of competitor SEO and GEO strategies, revealing what's working in your market and identifying opportunities to outperform the competition.

1823 votes

Deep Research

Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 8 modes: full research, quick brief, paper review, lit-review, fact-check, three-way literature scan, Socratic guided research dialogue, and systematic review with optional meta-analysis. Covers research question formulation, Socratic mentoring, methodology design, systematic literature search, source verification, cross-source synthesis, risk of bias assessment, meta-analysis, APA 7.0 report co...

492472 votes

Paperclip Distill

Use when an operation issue is a Paperclip cursor-window, distill, or backfill — `operationType: "distill"` or `"backfill"` and the body references a Paperclip source bundle for a project or root issue. Turn raw Paperclip activity into a wiki-insightful project page, decisions log, and history note. This skill exists specifically to replace the stiff, datestamp-heavy templated output that the deterministic distiller produces.

813271 votes

Academic Pipeline

Orchestrator for the full academic research pipeline: research -> write -> integrity check -> review -> revise -> re-review -> re-revise -> final integrity check -> finalize. Coordinates deep-research, academic-paper, and academic-paper-reviewer into a seamless 10-stage workflow with mandatory, coverage-bounded integrity checks, two-stage peer review, and auditable quality-assurance artifacts. Triggers on: academic pipeline, research to paper, full paper workflow, paper pipeline, end-to-end p...

492471 votes

Exa Search

Semantic search, similar content discovery, and structured research using Exa API

304951 votes
View all in research →