Prompt

You are designing a customer research survey. Generate a list of 10 insightful questions to uncover the pain points and frustrations of [TARGET CUSTOMER GROUP] regarding [PROBLEM OR PRODUCT AREA]. The questions should be open-ended and encourage detailed responses about customers’ experiences, challenges, and current solutions they’ve tried. Make sure to cover: the frequency or severity of the pain point, the impact on the customer’s life or business, and what an “ideal solution” would look like. Avoid yes/no questions – aim for phrasing that prompts storytelling and specific examples.

How to Use

1. Define Your Inputs: Identify who your target customers are and the problem area or product domain you’re interested in. Plug these into the prompt as [TARGET CUSTOMER GROUP] (e.g., “busy working parents” or “small business owners”) and [PROBLEM OR PRODUCT AREA] (e.g., “meal planning during the week” or “accounting software usage”).

2. Customize the Prompt: Adjust the number of questions if needed (10 is a good starting point for depth). Ensure the prompt reflects what you want to learn – for instance, you might emphasize discovering emotional pain points versus practical issues. If you already suspect some problems, you can mention them for the AI to delve into (“focus on issues like time management, cost, and reliability”).

3. Optional Add-ons: If applicable, specify the format or scope of questions. For example, you might ask for a mix of survey and interview questions, or request the questions be grouped by theme (e.g., usability, pricing, customer support pain points). You can also ask the AI to include one or two quantitative questions (like rating scales) if you plan a survey – though the focus should remain on open-ended questions for insights.

4. Run the Prompt: Input the customized prompt into your AI platform. The AI will generate a list of questions. Because the prompt emphasizes open-ended, you should get questions starting with phrases like “How do you feel about…”, “What are the biggest challenges when…”, etc.

5. Review & Select: Go through the AI-generated questions and refine as needed. Ensure they are clear and will be understood by your target audience. Check that they cover different dimensions of pain points (frequency, impact, emotional toll, workarounds tried). You may want to remove any overlap or add your own follow-ups. The goal is a well-rounded set of questions that will prompt customers to reveal valuable insights.

6. Expected Outcome: A comprehensive list of research questions tailored to understanding customer pain points in the given domain. These questions will help you conduct interviews or surveys to gather deep insights. For example, expect questions asking customers to describe a recent frustrating experience, the consequences of the problem, how they currently cope, and what they wish a solution could do – yielding qualitative data you can use to inform product development.