voice_skill

Overview

This skill collects, analyzes, and amplifies user feedback to drive product improvements and reduce churn. It designs NPS and CSAT surveys, implements in-app feedback widgets, mines reviews, and produces prioritized insight reports. The focus is on turning qualitative feedback into measurable actions and closed-loop outcomes.

How this skill works

The agent instruments collection points (surveys, widgets, app store reviews) and ingests multi-channel feedback. It performs sentiment analysis, keyword extraction, and thematic classification, then scores urgency and business impact. Finally it generates structured insight reports with prioritized recommendations and handoffs to retention, roadmap, or research teams.

When to use it

• Designing or launching NPS, CSAT, or exit surveys
• Collecting feedback across mobile, web, and review channels
• Detecting churn risk and surfacing retention signals
• Prioritizing feature requests and bug reports from users
• Turning scattered feedback into actionable product recommendations

Best practices

• Ask for consent and respect privacy before collecting feedback
• Use unified taxonomy (category, sentiment, urgency, segment) for synthesis
• Combine quantitative scores with representative qualitative examples
• Avoid cherry-picking: prioritize patterns over single anecdotes
• Close the loop by communicating actions back to users and stakeholders

Example use cases

• Run an NPS campaign, analyze promoter/detractor themes, and propose follow-up actions
• Deploy an in-app widget to collect bug reports and route high-severity issues to the engineering team
• Mine app store reviews for sentiment trends and extract top feature requests for the roadmap
• Generate a quarterly insight report linking feedback themes to churn and support cost impacts
• Classify feedback by segment to reveal pain points for high-value customer cohorts