discover-interview-synthesis

Solid

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.

AI & Automation 290 stars 40 forks Updated yesterday Apache-2.0

Install

View on GitHub

Quality Score: 92/100

Stars 20%
82
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

<!-- 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 ## 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 an...

Details

Author
product-on-purpose
Repository
product-on-purpose/pm-skills
Created
5 months ago
Last Updated
yesterday
Language
JavaScript
License
Apache-2.0

Similar Skills

Semantically similar based on skill content — not just same category