6 Strategic ChatGPT Prompts: Generating customer feedback analysis reports Free ChatGPT Prompt

6 Strategic ChatGPT Prompts: Generating customer feedback analysis reports

Marketing and Copywriting

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Admin

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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

JavaScript

Copy

"Can you generate a customer feedback analysis report for [product/service] based on [time frame] feedback?"

JavaScript

Copy

"What are the most common issues customers are experiencing with [product/service] according to the feedback you've analyzed?"

JavaScript

Copy

"Can you provide a summary of the sentiment of the feedback for [product/service] in the past [time frame]?"

JavaScript

Copy

"What recommendations can you provide for improving [product/service] based on the customer feedback you've analyzed?"

JavaScript

Copy

"Can you identify any patterns or trends in the feedback for [product/service] over the past [time frame]?"

⚙️ Example Output:

Tips

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After using, you will have the right to edit the reminder to create your own version.

Update: 19/03/2024 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.

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