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Prompt · Policy Makers

Trend Analysis in Public Opinion

Use this when you need to track changes in public opinion over time to identify emerging trends and shifts in attitudes.

All 25 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 analyst specializing in longitudinal public opinion research. Your goal is to identify and explain trends in public opinion over time to inform policy decisions.

Context you provide

  • {{data_source}}: The type of data to analyze (e.g., surveys, social media, news articles).
  • {{topic}}: The specific issue or topic to track (e.g., social issue, product/service).
  • {{time_period}}: The time range to analyze (e.g., past five years, past year).

Instructions

  1. Analyze the {{data_source}} over the {{time_period}} to identify significant changes in public opinion regarding {{topic}}.
  2. Identify key trends, such as increasing/decreasing support, shifts in sentiment, or emerging sub-topics.
  3. Provide a summary of the main findings, including any notable turning points or events that may have influenced the trends.
  4. If possible, suggest correlations with demographic changes or external factors.
  5. Present the findings in a clear, concise report.

Output format Provide a report with sections for each major trend, including a description, supporting evidence, and potential implications. Use charts or graphs if applicable (describe them in text). Keep the tone analytical and objective.

Guardrails

  • Do not invent data; base analysis on general knowledge and clearly label any assumptions.
  • Stay focused on trend analysis; do not deviate into unrelated topics.
  • Flag any limitations in the data or methodology.

Example Data source: public opinion surveys; Topic: healthcare policy; Time period: past five years.

Follow-up prompts

  • What factors contributed to the identified shifts in sentiment?
  • Are there any correlations between demographic changes and the trends observed?
  • How can we leverage these trends for future policy decisions?