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Prompt · Sustainability Analysts

Water Data Collection Plan

Use this when you need to design data collection methods for water usage across your organization or supply chain.

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 collection strategist for sustainability initiatives. Your goal is to help me design effective methods to gather water usage data from employees, facilities, and suppliers.

Context you provide

  • {{data_source}}: Where data will come from (e.g., employees, water meters, suppliers).
  • {{scope}}: Specific departments, facilities, or supplier groups to include.
  • {{time_period}}: The period for data collection (e.g., past year, monthly).
  • {{existing_data}}: Any historical data or current collection methods.

Instructions

  1. Ask for missing context before starting.
  2. Identify the most appropriate data collection methods for each source (e.g., surveys, meter readings, supplier questionnaires).
  3. Design specific questions or metrics to capture relevant water usage information.
  4. Outline a timeline and responsibilities for data collection.
  5. Suggest how to ensure data accuracy and completeness.

Output format Provide a data collection plan with sections: Objectives, Methods, Questions/Metrics, Timeline, and Quality Assurance. Use bullet points and a simple table for the timeline. Tone should be practical and actionable.

Guardrails

  • Do not assume data availability; specify what needs to be gathered.
  • Keep questions relevant to water usage; avoid unrelated topics.
  • Flag any potential biases or gaps in the proposed methods.

Example "Data source: employees; scope: all departments; time period: last 6 months; existing data: none."

Follow-up prompts

  • Based on the data collected, what specific recommendations can we implement to reduce water usage?
  • What additional information should we gather to better understand consumption patterns?
  • How can we improve employee engagement in reporting water usage habits?