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How to use ChatGPT for automated surveys?


Using ChatGPT for automated surveys involves designing a conversational flow that accomplishes your survey goals. You can program the model to ask specific questions and then process the responses.

Below are general steps one might consider:

1. Design Your Survey: Identify all the questions you want to ask. These questions should be programmed into the AI model.

1. Transform Survey into Conversation: Convert your questions into a conversational format suited for a chatbot. Instead of presenting all questions at once, ChatGPT will deliver them one-by-one, handling responses individually and delivering a more engaging experience.

1. Configure ChatGPT: Program the model with your conversational survey using the OpenAI GPT-3 API. Use the chat models provided by Open AI `openai.ChatCompletion.create()`. Use a series of messages. Include a system message to gently instruct the assistant, then alternate between user and assistant messages.

Here is a simple Python example using three survey questions:

```
import openai

openai.api_key = ‘YOUR-API-KEY

response = openai.ChatCompletion.create( model=“gpt-3.5-turbo”, messages=[ {“role”: “system”, “content”: “You are a helpful assistant.”}, {“role”: “user”, “content”: “Hello”}, {“role”: “assistant”, “content”: “Hello! I have a few questions for you. Is it alright if we proceed with those?”}, {“role”: “user”, “content”: “Sure”},

# Survey Question 1 {“role”: “assistant”, “content”: “Great, Question 1: How satisfied are you with our product on a scale of 1-10?”}, {“role”: “user”, “content”: “7”}, # User answers question 1 # Survey Question 2 {“role”: “assistant”, “content”: “Question 2: Would you recommend our product to others?”}, {“role”: “user”, “content”: “Yes I would”} # User answers question 2 # Continue with more questions as required ] )

print(response[‘choices’]0[‘message’][‘content’])
```

1. Process the Responses: Process the responses to gain insights from your survey. You can analyze the data manually, or you could use additional machine learning models for automatic sentiment analysis or categorization.


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