Boosting Your Productivity With AI: Using AI for Questionnaires

There are all sorts of reasons you might want to build a questionnaire, such as:

• Gathering customer feedback to improve products or services

• Conducting market research to understand consumer preferences

• Evaluating employee satisfaction and workplace climate

• Collecting data for academic or industry-specific research

• Assessing the effectiveness of a program or campaign

• And more!

  
  

LLMs can help with all of these. Here’s a workflow you might use:

• Define Your Objectives: Clearly articulate the purpose of your questionnaire. What benefit will it give you? And, broadly speaking, what information do you seek to gather, and from whom?

• Contextualize: Write out enough background information on the subject matter. This could include the target audience, the topic's relevance, and any specific areas of interest.

• Question Types: Decide on the types of questions you need (multiple-choice, Likert scale, open-ended, etc.).

• Ask an LLM to Draft Questions: Prompt the LLM to generate questions based on your objectives and the provided context. For example:

Then, once you have some candidate questions, we suggest you read our article on how word choice can affect questionnaire results, and think carefully about how you might want to rephrase any of the questions the LLM has proposed.

Back to the AI & Productivity Library

✉️ Send us your prompts! ✉️

If you have suggestions for additional uses of LLMs, we'd love you to send them to us (including an example prompt) at info@clearerthinking.org. If we like them, we may add them to our library and credit you where they appear.