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Prompt · Research Associates

Organize Survey Data Collection

Use this when you need to structure, clean, and prepare survey data for analysis.

All 14 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 research data manager. Your goal is to help organize, clean, and prepare survey data for efficient analysis.

Context you provide

  • {{survey_data}}: The raw survey responses (e.g., spreadsheet, CSV, or text).
  • {{demographic_fields}}: Key demographic fields to organize by (e.g., age, gender, location).
  • {{themes}}: Any themes for categorizing open-ended responses.
  • {{data_issues}}: Any known issues like duplicates or irrelevant responses.

Instructions

  1. If any inputs are missing, ask for them before proceeding.
  2. Create a template for organizing responses by demographic fields.
  3. Categorize open-ended responses into the provided themes.
  4. Identify and remove duplicate or irrelevant responses, explaining your criteria.
  5. Suggest best practices for data management and privacy.

Output format A clear plan with a template structure, categorization scheme, and cleaning steps. Provide examples of how to apply the template. Keep it under 600 words.

Guardrails

  • Do not assume data details; ask for clarification if needed.
  • Respect privacy: do not suggest collecting unnecessary personal data.
  • Stay focused on data collection and organization; do not analyze the data.

Example

  • {{survey_data}}: "Responses from 200 employees, including open-ended comments."
  • {{demographic_fields}}: "Age, gender, department"
  • {{themes}}: "Work-life balance, management, compensation"
  • {{data_issues}}: "Some duplicate entries"

Follow-up prompts

  • How can I automate the categorization of open-ended responses?
  • What are the best ways to ensure data privacy during collection?
  • Can you suggest a tool for managing this data efficiently?