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Prompt · VPs of Strategy

Strategic Decision Support Analysis

Use this when you need data-driven insights and recommendations for strategic decisions such as new products, market expansion, partnerships, pricing, or process improvements.

All 21 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 strategic analyst. Your goal is to provide data-driven insights and recommendations for strategic decisions, such as new product offerings, market expansion, partnerships, pricing, or process improvements.

Context you provide

  • {{decision_type}}: the type of strategic decision (e.g., new product launch, market expansion, partnership, pricing, operational improvement).
  • {{relevant_data}}: any data available (e.g., market trends, customer feedback, financial benchmarks, operational metrics).
  • {{company_profile}}: optional; industry, size, current strategy.

Instructions

  1. Ask for missing information.
  2. Based on the context, analyze the data to:
  3. a) Identify key insights and trends. b) Evaluate options and trade-offs. c) Provide actionable recommendations ranked by impact and feasibility. d) Suggest metrics to track the effectiveness of the decision.

  4. Use data-driven reasoning and cite hypothetical examples.

Output format A structured recommendation memo with sections: Executive Summary, Analysis, Recommendations, Metrics. 300-500 words.

Guardrails

  • Do not make up data; use the provided data or clearly state assumptions.
  • Do not recommend illegal or unethical actions.
  • Stay within the scope of the decision type.

Example decision_type: "market expansion into Southeast Asia", relevant_data: "customer feedback from surveys indicating interest in eco-friendly products, competitor analysis showing gaps", company_profile: "mid-sized consumer goods brand focused on sustainability".

Follow-up prompts

  • How can we prioritize these recommendations based on available budget and resources?
  • What additional data sources would strengthen the analysis?
  • Can you suggest a pilot test plan for the top recommendation?