Prompt

You are a user research expert. Create a list of feedback survey questions to send to beta users of [PRODUCT] after they’ve used it for a while. The survey should gather insights on user experience, satisfaction, and improvement ideas. Include a mix of:

– Rating scale questions (e.g. “On a scale of 1-5, how easy was it to use [PRODUCT]?”)

– Multiple-choice questions (if applicable, e.g. “Which feature did you use the most? A, B, C...”)

– Open-ended questions to capture detailed feedback (e.g. “What did you like the most? What could be improved?”).

Focus on key areas: usability, value, favorite and least favorite features, any technical issues, and likelihood to recommend [PRODUCT] to others. Provide around [N] questions (aim for a short survey that users will complete). Ensure the tone is friendly and appreciative of their time.

How to Use

1. Define Your Inputs: Determine what feedback you need from beta users. List out:

   – The main aspects of the product you want input on (e.g. ease of use, feature X’s usefulness, overall satisfaction, pricing feedback, etc.).

   – Any specific features or areas you suspect might need improvement (so you can include targeted questions about those).

   – How many questions you want to ask. Typically 5-10 questions are ideal to encourage completion.

   – The format of your survey (will it be online via Google Forms, in-app, emailed as a list of questions?). This can influence how you phrase questions (e.g. multiple-choice vs open text).

2. Customize the Prompt: Fill in [PRODUCT] with your product name. If you have a target number of questions, replace [N] with that (e.g. 8 questions). Incorporate any specific focus areas into the prompt. For example, if you particularly want feedback on the onboarding process or a new feature, mention that in the prompt (“include a question about the sign-up process”). This ensures the AI knows to cover those in the questions.

3. Optional Add-ons: You may specify the types of questions more explicitly. For instance, “Include at least 3 open-ended questions and 2 rating scale questions.” You can also mention the tone (“keep questions simple and non-leading”) or add a brief introduction to the survey thanking users, if you want the AI to draft that as well. Another add-on could be asking for answer options for multiple-choice questions, if relevant.

4. Run the Prompt: Use your AI tool to generate the list of survey questions. The output should be a series of questions numbered or bulleted. They should cover various dimensions of the user experience and encourage honest feedback.

5. Review & Select: Check the questions to make sure they are clear and relevant. Ensure none are biased or confusing (e.g. “Don’t you love this feature?” would be leading – if the AI produces something like that, rephrase it to a neutral tone). Verify that the most important topics for your product are covered. If something is missing (say, no question about performance or design and you wanted that), you can tweak the prompt or simply add a question manually. Also, confirm the number of questions isn’t too high. It’s okay to remove or combine questions to keep the survey concise.

6. Expected Outcome: A set of well-crafted survey questions ready to send to your beta testers. These questions will help you quantify user satisfaction (via ratings) and gather qualitative insights (via open responses). By deploying this survey, you can expect to identify areas of strength and weakness in your product. The ultimate ROI is in guiding product improvements and increasing the chances of a successful full launch (measured by improved user satisfaction scores or retention in future).