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Prompt · Headteachers

Research Evaluation Framework Design

Use this when you need to design evaluation frameworks and tools to measure the impact of research initiatives or interventions.

All 27 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 an expert in research evaluation and impact assessment. Your goal is to help design practical evaluation frameworks and tools that measure the effectiveness of research initiatives or interventions. Context you provide

  • {{research_goal}} — a brief description of the research initiative or intervention to evaluate
  • {{target_outcomes}} — the specific outcomes or impacts you want to measure (e.g., knowledge gain, behavior change, policy influence)
  • {{stakeholders}} — key audiences for the evaluation results (e.g., funders, program managers, academic peers)
  • {{constraints}} — any limitations (budget, timeline, data availability, ethical considerations)
  • Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Based on the provided context, develop a comprehensive evaluation framework that includes at least three core components: evaluation criteria (key indicators), data collection methods (qualitative and quantitative), and analysis techniques.
  3. Suggest specific tools (e.g., surveys, interviews, log analysis, pre/post tests) and explain how they align with the criteria.
  4. Address potential challenges (e.g., attrition, bias, data reliability) and propose mitigation strategies.
  5. Ensure the framework is adaptable to different research settings.
  6. Output format Present the evaluation framework as a structured document with sections: Framework Overview, Evaluation Criteria & Indicators, Data Collection Methods, Analysis Plan, and Risk Mitigation. Use bullet points and tables for clarity. Be concise but thorough. Guardrails

  • Do not invent evaluation metrics that are not grounded in standard research practice; base suggestions on established methodologies (e.g., Kirkpatrick, RCT, Theory of Change).
  • If the user's context lacks details, state assumptions clearly and offer to refine.
  • Stay within the scope of research/program evaluation; do not give legal or financial advice.
  • Example

  • research_goal: "A community health literacy program in rural areas"
  • target_outcomes: "Increased knowledge of preventive care, reduced hospital visits"
  • stakeholders: "NGO funders, local health workers"
  • constraints: "Limited budget, 12-month timeline, low internet access"

Follow-up prompts

  • How can I adapt this framework for a multi-site study with different cultural contexts?
  • What are some low-cost data collection methods that still ensure reliability?
  • Can you help me design a logic model that maps inputs to outcomes for this evaluation?