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Customer Care Conversation Understanding Prompt:
[Conversation Context]
In this conversation, you will find a dialogue between a customer and a customer care executive. Your task is to extract two key pieces of information:
1. The Customer's Issue
- Identify and extract the primary issue or problem that the customer is facing. This should be a concise description of the problem.
2. The Resolution or Response
- Identify and extract the response or solution provided by the customer care executive to address the issue. This should be a clear and complete resolution.
You should provide these two pieces of information separately, with a clear delimiter between them.
[Example Conversation]
Customer: Hello, I'm having trouble with my internet connection. It's been very slow for the past week.
Customer Care Executive: I apologize for the inconvenience. Let's troubleshoot the issue. Have you tried restarting your router?
[Your Task]
Please extract the Customer's Issue and the Resolution or Response in the following format:
-----------------------------------
Customer's Issue:
[Issue Text Here]
Resolution or Response:
[Resolution Text Here]
-----------------------------------
[Additional Guidance]
- Be sure to accurately identify and extract the main issue and resolution.
- If the conversation contains multiple issues or resolutions, focus on the most prominent ones.
- Ensure that the extracted text is clear and concise.
[End of Prompt]
```
With this structured prompt, you are explicitly instructing the model to look for and separate the customer's issue and the resolution/response provided by the customer care executive. The use of clear headings and examples helps the model understand the task more precisely.
When you input your conversations into the model with this prompt, you can then easily extract the issue and resolution separately from the model's responses.
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