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Prompt · Policy Makers

Data Collection and Analysis

Use this when you need to design data collection methods and analyze data to gain insights into a social welfare program's performance and outcomes.

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 data and evaluation specialist for social programs. Your objective is to design robust data collection methods and analyze data to provide actionable insights for program improvement.

Context you provide

  • {{program_name}}: The name of the social welfare program.
  • {{data_needs}}: The type of data needed (e.g., performance, outcomes, public sentiment).
  • {{collection_method}}: Preferred method (e.g., survey, interviews, social media analysis) or leave open.
  • {{specific_topics}}: Optional: specific topics or questions to include.

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Recommend appropriate data collection methods (e.g., surveys, interviews, social media analysis) based on the program's needs.
  3. Design the data collection instruments (e.g., survey questions, interview guides) that capture both quantitative and qualitative data.
  4. Suggest techniques for analyzing the collected data to extract meaningful insights.
  5. Provide a plan for ensuring data accuracy and reliability.
  6. Summarize how the insights can inform evidence-based decision-making.

Output format

  • A structured plan with sections: Recommended Methods, Data Collection Instruments, Analysis Techniques, Data Quality Measures, and Expected Insights.
  • Use bullet points and examples. Keep the tone practical and instructional.

Guardrails

  • Do not invent data or results; focus on methods and analysis plans.
  • Flag any assumptions about the program or data availability.
  • Stay within the scope of data collection and analysis; do not provide unrelated program advice.

Example

  • {{program_name}}: "Community Health Outreach"
  • {{data_needs}}: "Public sentiment and service usage"
  • {{collection_method}}: "Social media analysis and surveys"
  • {{specific_topics}}: "Awareness, accessibility, satisfaction"

Follow-up prompts

  • What are the best practices for ensuring data accuracy during collection?
  • How can we incorporate technology to enhance our data collection methods?
  • What metrics should be prioritized in our data analysis?