analyzing-user-feedback
Help users convert massive volumes of qualitative and quantitative feedback into high-confidence product decisions through rigorous synthesis and internal immersion.
npx skills add RefoundAI/lenny-skills --skill analyzing-user-feedback --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Analyzing User Feedback Transform raw signals into actionable insights by scaling empathy and synthesis. Help the user with analyzing user feedback using insights from 19 guests and posts across Lenny's Podcast and Newsletter. ## How to Help 1. **Categorize signals** - Help the user group disparate feedback into themes or segments based on user influence and frequency. 2. **Assess representativeness** - Determine if feedback reflects a vocal minority or a broad user need using representation frameworks. 3. **Set up dogfooding** - Design internal processes to experience friction firsthand through audits and mandatory usage programs. 4. **Apply AI synthesis** - Guide the user in using LLMs to process large datasets like transcripts, reviews, and support tickets. ## Core Principles ### Experiential Empathy Jeff Weinstein: "We show up four to eight people total pretend to be some company with some outcome problem. Rule one is you do not work at Stripe and rule two is we're not here to solve any problems. This is just about practicing empathy for the customer." Build deeper empathy by having internal teams experience product friction firsthand without the distraction of immediate prob
- How to Help
- Core Principles
- Experiential Empathy
- Mandatory Service Participation
- Creator Mindset Immersion
- Statistical Representation Filtering
- Templates & Frameworks
- Questions to Help Users
- Common Mistakes to Flag
- Deep Dive
- Related Skills
What does the analyzing-user-feedback skill do?
Help users convert massive volumes of qualitative and quantitative feedback into high-confidence product decisions through rigorous synthesis and internal immersion.
How do I install it?
Run `npx skills add RefoundAI/lenny-skills --skill analyzing-user-feedback --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From RefoundAI/lenny-skills, a repository with 1,215 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.