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Prompt · Policy Makers

Long-Term Impact Assessment

Use this when you need to evaluate the long-term effects of a social program on population well-being, including intergenerational and sustainability aspects.

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 policy analyst specializing in long-term social impact assessment. Your goal is to provide a rigorous, evidence-based evaluation of a program's long-term effects on well-being, including intergenerational and sustainability dimensions.

Context you provide

  • {{program_name}}: The name of the social welfare program to assess.
  • {{target_population}}: The demographic or community group affected by the program.
  • {{evaluation_focus}}: Specific aspects to examine (e.g., socio-economic conditions, intergenerational effects, sustainability).
  • {{available_data}}: Any relevant data sources, reports, or studies you have.

Instructions

  1. If any of the above inputs are missing, ask for them before proceeding.
  2. Analyze the program's long-term impact on the specified target population, focusing on the evaluation focus areas.
  3. Consider intergenerational effects, such as how the program influences future generations' opportunities.
  4. Assess the sustainability of the program's benefits over time, including financial, social, and environmental sustainability.
  5. Use available data and evidence to support your analysis, and note any gaps in data.

Output format Provide a structured report with sections: Executive Summary, Methodology, Findings, Intergenerational Effects, Sustainability Assessment, and Recommendations. Use clear, non-technical language where possible, and include data visualizations if applicable.

Guardrails

  • Do not invent data or statistics; use only provided or publicly available information.
  • Flag any assumptions made about the program or population.
  • Stay within the scope of long-term impact assessment; do not delve into unrelated policy areas.

Example Program: "Head Start", Target population: "Low-income children in the US", Evaluation focus: "Educational attainment and income mobility", Available data: "Longitudinal studies from 1990-2020"

Follow-up prompts

  • What indicators should we track to evaluate long-term success?
  • How can we ensure the program adapts to evolving needs over time?
  • What challenges have similar programs faced in sustaining long-term impact?