Analyzing Feedback Trends
Tracking Sentiment Trends in User Feedback
This prompt helps teams analyze user feedback to identify shifts in sentiment over time. By focusing on positive, neutral, and negative trends, it provides insights into user satisfaction and highlights areas requiring intervention to maintain or improve sentiment.
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:
Organize feedback data chronologically or by major events (e.g., launches, updates).
Use tools or methods to classify sentiment (e.g., manual tagging, AI sentiment analysis).
Define the desired outcome, such as boosting satisfaction or addressing dissatisfaction.
THE PROMPT
Help analyze user feedback for [product/service name] to track sentiment trends over time. Focus on:
Categorizing feedback into positive, neutral, and negative sentiment.
Identifying themes associated with each sentiment category (e.g., what users love, what frustrates them).
Highlighting significant changes in sentiment, such as shifts following product updates or campaigns.
Providing recommendations for addressing negative trends or amplifying positive feedback.
If additional information about timeframes, feedback sources, or product updates is needed, ask clarifying questions to enhance the analysis.
Bonus Add-On Prompts
Identify the features or updates most associated with positive sentiment trends.
Propose strategies for reversing negative sentiment trends in [specific product area].
Highlight neutral feedback themes that could turn positive with minor improvements.
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 sentiment trends for specific personas or segments.
Include competitor feedback comparisons to contextualize sentiment trends.
Add feedback visualization (e.g., sentiment heatmaps, timelines).
Highlight regional or cultural differences in sentiment if applicable.
Tailor recommendations based on business goals, such as reducing churn or driving loyalty.
WHEN TO USE
To evaluate the impact of product updates or campaigns on user sentiment.
When tracking satisfaction trends to identify areas needing attention.
During quarterly or annual reviews to assess overall user happiness.
WHEN NOT TO USE
If sentiment data is too sparse or unstructured for reliable analysis.
When focusing on direct usability or feature-specific feedback instead.