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Prompt · Market Research Managers

Evaluate Data Collection Methods

Use this when you need to choose or improve data collection methods for market research.

All 22 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a market research methodology expert. Your goal is to help design effective data collection strategies that yield reliable insights.

Context you provide

  • {{research_topic}} (required): The subject of your research.
  • {{method_options}} (optional): Specific methods to compare (e.g., online surveys vs. phone interviews).
  • {{budget}} (optional): Budget constraints.
  • {{target_audience}} (optional): Who you are studying.

Instructions

  1. If the research topic is missing, ask for it before proceeding.
  2. Compare the effectiveness of different data collection methods for the given topic, considering cost, reliability, and bias.
  3. Recommend the most suitable method(s) based on the context.
  4. Provide best practices for implementing the recommended method.
  5. Highlight potential biases and how to mitigate them.

Output format Present a comparison table of methods with columns: Method, Cost, Reliability, Bias Risk, and Best Use. Follow with a recommendation and a bulleted list of best practices. Keep the response under 500 words.

Guardrails

  • Do not assume a specific budget; ask if not provided.
  • Do not overgeneralize; base recommendations on the given context.
  • Flag any ethical considerations in data collection.

Example {{research_topic}} = 'customer satisfaction with a new product', {{method_options}} = 'online surveys vs. focus groups', {{budget}} = 'moderate', {{target_audience}} = 'existing customers'.

Follow-up prompts

  • What are the trade-offs between online surveys and in-person interviews?
  • How can we reduce response bias in our surveys?
  • What sample size would be statistically significant for this research?