6 Strategic ChatGPT Prompts: Generating customer feedback analysis reports
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Description
If you're looking to generate customer feedback analysis reports, ChatGPT can be a valuable tool to help you automate the process. By using prompt..
Prompt Details
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About
If you're looking to generate customer feedback analysis reports, ChatGPT can be a valuable tool to help you automate the process. By using prompts to give ChatGPT the information it needs, you can quickly generate reports that summarize the sentiment and feedback of your customers. ChatGPT can analyze large amounts of text data, allowing you to get a comprehensive view of customer feedback and identify key areas for improvement. With its natural language processing capabilities, ChatGPT can help you gain valuable insights into customer feedback, and save you time and effort in the process.
Prompts
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"Can you generate a customer feedback analysis report for [product/service] based on [time frame] feedback?"
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"What are the most common issues customers are experiencing with [product/service] according to the feedback you've analyzed?"
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"Can you provide a summary of the sentiment of the feedback for [product/service] in the past [time frame]?"
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"What recommendations can you provide for improving [product/service] based on the customer feedback you've analyzed?"
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"Can you identify any patterns or trends in the feedback for [product/service] over the past [time frame]?"
⚙️ Example Output:
Tips
After using, you will have the right to edit the reminder to create your own version.
Update: 2024.03.19. 20:00:31
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Prompt Details
Engine
text-davinci-003
Token size / call
831
Average cost / call
$0.0006
*Important, please read*
In the reminder, you will find places marked with two brackets "[]" or "<>", where you will replace the input information with similar content, and then delete the brackets after your content has been replaced.
The output content example returned from the A.P.I will therefore be shorter and less expressive than when you use live chat with GPT.
Example Input
None
Example Output
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