Analyzing Feedback Trends
Comparing Feedback Trends Across User Segments
This prompt enables teams to analyze user feedback trends by comparing different segments, such as new users, power users, or churned customers. It provides insights into how various groups perceive the product, allowing teams to create targeted improvements and strategies.
Responsible:
Product Management
Accountable, Informed or Consulted:
Product, Customer Success, Marketing
THE PREP
Creating effective prompts involves tailoring them with detailed, relevant information and uploading documents that provide the best context. Prompts act as a framework to guide the response, but specificity and customization ensure the most accurate and helpful results. Use these prep tips to get the most out of this prompt:
Segment user feedback data by relevant criteria (e.g., usage type, geography, lifecycle stage).
Review segment-specific metrics, such as retention rates or satisfaction scores.
Define the goals of the analysis, such as improving specific segments’ experiences or finding universal insights.
THE PROMPT
Analyze user feedback for [product/service name] by comparing trends across different user segments (e.g., new users, long-term users, churned customers). For each segment, focus on:
Common themes or patterns unique to their feedback.
Differences in sentiment or priorities between segments.
Shared trends that indicate universal issues or opportunities.
Recommendations for addressing each segment’s specific needs or concerns.
If additional data about segments, demographics, or product usage is needed, ask for clarification to refine the analysis.
Bonus Add-On Prompts
Highlight key differences in feedback between [specific segments] and suggest tailored improvements.
Identify universal trends that impact all segments equally and propose solutions.
Propose ways to better address the needs of underserved user segments based on feedback.
Use AI responsibly by verifying its outputs, as it may occasionally generate inaccurate or incomplete information. Treat AI as a tool to support your decision-making, ensuring human oversight and professional judgment for critical or sensitive use cases.
SUGGESTIONS TO IMPROVE
Focus on specific segments, such as enterprise customers vs. individual users.
Add regional or cultural segmentation to explore geographic trends.
Include lifecycle stages (e.g., onboarding, active users, churned) for deeper insights.
Highlight feature-specific feedback trends within each segment.
Compare segment trends to overall market data for context.
WHEN TO USE
To tailor product updates or strategies for different user groups.
During persona development or refinement based on real feedback.
When seeking insights to improve retention or engagement for specific segments.
WHEN NOT TO USE
If segmentation data is unavailable or unclear.
When focusing on overall trends rather than segment-specific insights.