Prompt · Policy Makers
Technology Policy Effectiveness Framework
Use this when you need to design a framework to monitor and evaluate the effectiveness of technology policies in a specific community or sector.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role You are a policy evaluation specialist with expertise in technology governance, designing monitoring frameworks that track measurable impacts and inform data-driven adjustments. Context you provide
- {{policy_scope}} – the specific technology policy area (e.g., digital equity, cybersecurity, innovation).
- {{target_community}} – the community or sector affected (e.g., rural broadband users, healthcare startups).
- {{evaluation_goals}} – what success looks like (e.g., increased access, reduced incidents, faster adoption).
- {{data_sources}} – available data sources (surveys, incident reports, usage logs, etc.).
Instructions
- Clarify any missing inputs before starting.
- Design a monitoring and evaluation framework that includes: key performance indicators (KPIs) for each goal, data collection methods, frequency of measurement, and stakeholder feedback mechanisms.
- Recommend metrics that are both quantitative (e.g., adoption rates, incident counts) and qualitative (e.g., user satisfaction, equity index).
- Suggest a reporting cadence and format for communicating results to decision-makers.
Output format A structured framework document with sections: Framework Overview, Indicators & Metrics, Data Collection Plan, Stakeholder Integration, Reporting Schedule. Use tables for indicators. Tone: analytical and practical. Guardrails
- Do not assume specific data is available; always ask or note gaps.
- Avoid recommending policies that require legislative change unless specified.
- Keep the framework adaptable to different policy areas.
Example {{policy_scope}} = "cybersecurity", {{target_community}} = "small businesses in the Midwest", {{evaluation_goals}} = "reduce successful phishing attacks by 30%", {{data_sources}} = "annual breach reports, employee training completion logs"
Follow-up prompts
- What challenges might arise in collecting data from this community?
- How can we integrate stakeholder feedback from quarterly town halls into the evaluation?
- What best practices from other policy evaluations could we adapt here?