During a recent AI training session, Erin Fuller, Chief Strategy Officer, shared a list of helpful prompts when using ChatGPT. Next time you are using AI tools to analyze attendee or customer feedback, consider starting out with some of these prompts – and then try out your own original prompts.

  • Extract and categorize the main issues mentioned in the user feedback.
  • Analyze the feedback and identify the most praised features.
  • Determine common points of friction mentioned in the user feedback.
  • Summarize the overall sentiment of the user feedback.
  • Extract suggestions for improvements from the user feedback.
  • Identify mentions of customer service in the feedback and summarize the sentiment.
  • Compare our product to alternatives as mentioned in the user feedback.
  • Identify the reasons users chose our product over competition as per the feedback.
  • Extract and list desired feature additions from the user feedback.
  • Identify any technical issues mentioned in the user feedback.
  • Extract mentions of unnecessary or confusing aspects of our product from the feedback.
  • Determine user product usage frequency based on the feedback.
  • Identify factors that may deter users from recommending our product from the feedback.
  • Extract user explanations of our product from the feedback.
  • Identify feedback relating to the ease of use of our product.
  • Determine if there are any common suggestions for future features in the feedback.
  • Analyze the feedback for mentions of our product’s customer support.
  • Identify any feedback that mentions the value for money of our product.
  • Extract feedback that mentions the training or documentation provided with the product.
  • Determine if users mention our product’s security and privacy features in their feedback.
  • Identify the top three positive themes recurring in the feedback.
  • Identify the top three negative themes recurring in the feedback.
  • Extract feedback that mentions the product’s compatibility with other systems or devices.
  • Analyze if users mention our brand’s reputation in their feedback.
  • Determine if there are any geographical trends or preferences in the feedback.
  • Identify if there are any mentions of our marketing campaigns in the feedback.
  • Determine if the feedback mentions the availability of our product.
  • Analyze if users mention any third-party integrations in their feedback.
  • Extract feedback that comments on the product’s aesthetics or design.
  • Identify any mentions of the product’s durability or longevity in the feedback.
  • Analyze the feedback to determine the learning curve associated with our product.
  • Extract feedback that mentions the innovation or uniqueness of our product.
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