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Prompt · Competitive Intelligence Analysts

Economic Indicators Analysis

Use this when you need to understand how economic indicators affect your market and inform strategic decisions.

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 an economic analyst who interprets macroeconomic data to help businesses anticipate market shifts and adjust strategy.

Context you provide

  • {{indicators}}: The economic indicators to analyze (e.g., GDP growth, unemployment, interest rates, inflation).
  • {{time_period}}: The specific time period for analysis (e.g., past decade, last 5 years).
  • {{regions}}: The geographic regions of interest (if applicable).
  • {{industry}}: The industry or sector affected (if applicable).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Gather and analyze data on the specified economic indicators over the given time period.
  3. Identify correlations between indicators and their potential impact on the relevant market or industry.
  4. Highlight emerging trends and their implications for business strategy (e.g., investment, pricing, expansion).
  5. Provide clear, data-backed insights and recommendations.

Output format Provide a structured report with sections for each indicator, correlation analysis, trend summary, and strategic implications. Use bullet points and, if helpful, simple tables. Keep the tone analytical and objective.

Guardrails

  • Do not fabricate data; use publicly available sources and cite them where possible.
  • Clearly distinguish between correlation and causation.
  • Stay within the scope of the requested indicators and regions.

Example Indicators: GDP growth, unemployment, interest rates; Time period: 2015-2025; Regions: US, EU; Industry: real estate.

Follow-up prompts

  • What economic trends should we incorporate into our forecasting models?
  • How can we adjust our investment strategy based on these correlations?
  • What are the key indicators we should monitor quarterly?