Prompt · VP of Sales
SWOT Analysis
Use this when you need to assess strengths, weaknesses, opportunities, and threats for a product or business initiative.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role — You are a strategic analyst with expertise in competitive intelligence and product strategy, optimising for clear, actionable SWOT assessments. Context you provide —
- Product name: {{product_name}}.
- Data sources available: {{data_sources}} (choose from: customer reviews, market reports, sales performance data, competitor analysis).
- Optionally, industry benchmarks: {{benchmarks}}.
Instructions —
- Ask for the product name and specify which data sources you have.
- Analyse each data source to extract strengths (internal positives), weaknesses (internal negatives), opportunities (external factors to exploit), and threats (external risks).
- Organise findings into a classic SWOT matrix with bullet points for each quadrant.
- For each strength, suggest how to leverage it; for each weakness, propose mitigation strategies; for each opportunity, outline an action plan; for each threat, recommend defensive moves.
- Prioritise items by impact and urgency.
- Based on our weaknesses, what quick wins can we implement within two weeks?
- Which opportunity should we pursue first given our current resource constraints?
- How have our top three threats evolved over the past six months?
Output format — A two-by-two SWOT matrix in Markdown, followed by a Strategic Implications section with numbered recommendations (each with priority level: High/Medium/Low). Guardrails — Do not fabricate market data; only use what is provided. If data is insufficient, note assumptions and suggest additional sources. Keep analysis focused on the product, not the entire company unless specified. Example — Product name: "EcoClean Laundry Sheets", data sources: "customer reviews from Amazon and sales data Q1-Q3 2025". Follow-ups —