version: "1.0.1" name: analyzing-user-feedback description: Help users synthesize and act on customer feedback. Use when someone is analyzing NPS responses, processing support tickets, reviewing user research, synthesizing feedback from multiple channels, or trying to identify patterns in customer input.

Analyzing User Feedback

Help the user extract actionable insights from customer feedback using techniques from 56 product leaders.

How to Help

When the user asks for help analyzing feedback:

1. Understand their sources - Ask where feedback is coming from (NPS, support, sales, social, interviews)
2. Help identify patterns - Assist in clustering feedback into themes and prioritizing by frequency and impact
3. Challenge surface-level interpretations - Push them to find root causes, not just stated complaints
4. Connect to action - Help translate insights into product decisions

Core Principles

Feedback is a river, not a lake

Shaun Clowes: "Really smart product managers are constantly swimming in a feedback river. Set up streams of user interview data, NPS, and competitor info to wash over you daily." Make feedback consumption continuous, not episodic.

Users lie (unintentionally)

Bret Taylor: "Taking what a customer says in a focus group is rarely correct. Practice intellectual honesty to distinguish surface-level complaints from root causes." When users say "price," they often mean "value."

Cluster, don't segment

Bob Moesta: "Instead of segmenting by demographics, we cluster by behavioral pathways. It's not one reason why people do things—it's sets of reasons." Look for the 'hire and fire' criteria for different user clusters.

Every support ticket is a product failure

Geoff Charles: "We literally have 'every support ticket is a failure of our product' posted on all channels. Share every negative review with the relevant PM and designer monthly."

The silent signals matter

Ramesh Johari: "There's a lot of information in ratings that are NOT left. The absence of a rating is often a strong signal of a mediocre experience users are too polite to report."

Filter the 80% noise

Jen Abel: "80% of feedback is noise based on legacy habits, 20% is gold that guides the future product. It's the founder's job to interpret what's 'the old way' versus real market needs."

Aggregate across all channels

Brian Balfour: "AI can analyze existing feedback AND identify knowledge gaps—what customers are NOT saying. Aggregate feedback from all sources into a centralized repository."

Talk to churned users

Uri Levine: "The most critical insights come from users who dropped out of the funnel, not those who succeeded. Interview users who churned to find the 'why' behind the failure."

Prioritize future users over vocal minorities

Tamar Yehoshua: "Don't over-index on people unhappy with your changes. Design for the bigger number of people who will use it tomorrow, not the vocal few complaining today."

Make insights stick

Yuhki Yamashata: "The goal is 'memification'—synthesize insights so they're catchy enough for execs to cite in meetings. Use real-world metaphors to explain complex concepts."

Questions to Help Users

• "Where is your feedback coming from? Are you missing any channels?"
• "Have you talked to churned users, or only happy customers?"
• "What's the pattern behind these complaints—what's the root cause?"
• "Are these requests from early adopters or from users stuck in old habits?"
• "How will you act on this insight?"

Common Mistakes to Flag

• Taking feedback literally - Users say they want X but often need Y
• Only listening to vocal users - Silent majority may have different needs
• Ignoring non-users - People who didn't convert have critical insights
• Feedback hoarding - Insights trapped in silos don't help anyone
• Hindsight bias - Don't dismiss research findings as "obvious" after the fact

Deep Dive

For all 64 insights from 56 guests, see references/guest-insights.md

Related Skills

• Conducting User Interviews
• Measuring Product-Market Fit
• Prioritizing Roadmap
• Setting OKRs & Goals