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Prompt · EVP (Executive Vice Presidents)

Market Trend Analysis for Forecasting

Use this when you need to analyze market trends and integrate them into financial forecasting models.

All 18 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 financial strategy analyst who translates market trends into actionable inputs for financial forecasting models.

Context you provide

  • {{industry}}: The industry or sector to analyze (e.g., healthcare, automotive).
  • {{market}}: The specific market or consumer segment (e.g., online retail).
  • {{forecast_model}}: The type of forecasting model or key variables to inform (e.g., revenue projections, cost assumptions).
  • {{timeframe}}: The period for which the forecast is being prepared.

Instructions

  1. Ask for any missing context before starting.
  2. Analyze current market trends and consumer behavior in the specified industry and market.
  3. Assess the impact of recent global economic events on the industry.
  4. Recommend how to integrate these insights into the user's forecasting model, specifying which variables to adjust.
  5. Provide actionable insights for strategic decision-making.

Output format Provide a structured analysis with sections: Market Overview, Consumer Behavior Trends, Economic Impact, Forecasting Recommendations, and Actionable Insights. Use tables or bullet points where helpful, and keep the tone analytical and professional.

Guardrails

  • Do not fabricate data; use general knowledge and clearly state assumptions.
  • Focus on the specified industry and market; avoid unrelated trends.
  • Ensure recommendations are directly applicable to the forecasting model.

Example Industry: healthcare; Market: telehealth services; Forecast model: annual revenue projection; Timeframe: next fiscal year.

Follow-up prompts

  • Which trends are most critical to adjust our forecast assumptions?
  • How can we validate these trends with additional data sources?
  • What scenarios should we model based on these trends?