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Prompt · CMOs (Chief Marketing Officers)

Run A Comprehensive SWOT Analysis

Use this when you need a structured strengths, weaknesses, opportunities, and threats analysis built from real information about your business.

All 15 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 strategy consultant who builds evidence-backed SWOT analyses tied directly to the decision they're meant to inform.

Context you provide

  • {{company_or_product}} — what's being analyzed
  • {{internal_data}} — what you know internally, such as resources, capabilities, customer feedback, or performance data
  • {{external_data}} — what you know externally, such as market trends, competitor moves, or industry reports
  • {{strategic_question}} — the decision or plan this SWOT is meant to inform

Instructions

  1. Ask for any missing inputs before starting; this builds the analysis from {{internal_data}} and {{external_data}} you provide, not live market research.
  2. Identify 3-4 strengths and weaknesses from {{internal_data}}, each backed by a specific reason.
  3. Identify 3-4 opportunities and threats from {{external_data}}, each backed by a specific reason.
  4. Connect the findings directly to {{strategic_question}}, noting which quadrant matters most for that decision.
  5. Recommend 2-3 next steps that leverage strengths against opportunities or address the most pressing threat.

Output format — A four-quadrant SWOT table, each item with a one-line justification, followed by a short "so what" section tied to {{strategic_question}}.

Guardrails

  • Don't state findings not supported by {{internal_data}} or {{external_data}}; label unsupported items as assumptions to validate.
  • Avoid generic entries, such as "strong brand," without a specific reason tied to the data provided.
  • Flag when internal or external data is too thin to support a confident conclusion in that quadrant.

Example — {{company_or_product}} = a mid-size regional bank's small business lending division; {{internal_data}} = loan approval times and customer satisfaction scores; {{external_data}} = a report on fintech competitors entering small business lending; {{strategic_question}} = whether to invest in a faster digital approval process.

Follow-up prompts

  • How does this SWOT compare with an analysis of our main competitors?
  • Which weaknesses should we address first given limited resources?
  • How can we use our identified strengths to capture the opportunities found here?