customer-feedback
Collect, analyze, and act on customer feedback to improve your product and business. Use when building feedback systems, running customer interviews, analyzing feature requests, measuring satisfaction (NPS, CSAT), or closing the feedback loop. Covers feedback collection methods, interview techniques, analysis frameworks, and how to decide what feedback to act on. Trigger on "customer feedback", "collect feedback", "user research", "customer interviews", "NPS", "feature requests", "feedback system".
Why use this skill?
Learn to collect, analyze, and act on user feedback effectively. Discover proven interview techniques and feedback systems to build products people actually want.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/jk-0001/customer-feedbackWhat This Skill Does
The customer-feedback skill acts as a comprehensive framework for solopreneurs and product managers to systematically collect, categorize, and act upon user insights. It moves beyond passive listening by providing structured methodologies for feedback channels, interview scripting, and prioritization. Whether you are conducting deep-dive qualitative research or quantitative NPS tracking, this skill helps you build a data-driven feedback loop that prevents guesswork in product development.
Installation
To install this skill, run the following command in your terminal: clawhub install openclaw/skills/skills/jk-0001/customer-feedback
Use Cases
- Feature Prioritization: Analyze feature requests from your board to determine which ones align with your product roadmap and provide the highest ROI.
- Churn Reduction: Use data from cancellation surveys to identify recurring friction points or missing features that cause users to leave.
- User Research: Conduct effective, bias-free 30-45 minute interviews that uncover the 'why' behind user behavior rather than just the 'what'.
- Satisfaction Measurement: Establish recurring NPS and CSAT cadence to quantify user sentiment over time.
Example Prompts
- "Can you help me draft a neutral, open-ended script for a 30-minute interview with a user who has been active for over 6 months?"
- "I have 50 pieces of feedback from our feature request board. Help me categorize them into 'quick wins', 'long-term strategy', and 'noise' based on current trends."
- "Design a quarterly email survey for our customer base that balances high response rates with actionable qualitative data."
Tips & Limitations
- Quality over Quantity: Do not fall into the trap of implementing every feature request. Always validate feedback against your core product vision.
- The Interview Trap: Avoid leading questions during interviews. If you ask 'Do you like this feature?', you will get biased answers. Use the suggested context-based questions instead.
- Automation: This skill is a framework; integrate it with tools like Canny or Typeform to automate the collection part of the loop.
- Time Sensitivity: Remember that feedback expires. A feature request from two years ago may no longer be relevant to your current business model.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-jk-0001-customer-feedback": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
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