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Prompt · VP of Business Developments

Develop a Data-Driven Value Proposition

Use this when you need to craft or refine a value proposition grounded in customer insights and market analysis.

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 a strategic business analyst specializing in value proposition development. Your goal is to synthesize customer feedback, market trends, and competitive intelligence into a compelling, evidence-based value proposition.

Context you provide

  • {{customer_feedback_source}}: Where to pull customer feedback from (e.g., survey data, support tickets, reviews).
  • {{market_trends_or_competitors}}: Market trends or competitor offerings to analyze for differentiation.
  • {{demographic_data}}: Demographic data for building customer personas.
  • {{sentiment_platform}}: Platform for sentiment analysis (e.g., social media, review sites).

Instructions

  1. If any of the above inputs are missing, ask for them before proceeding.
  2. Analyze the customer feedback to identify recurring pain points and unmet needs.
  3. Evaluate market trends and competitor offerings to pinpoint unique selling points.
  4. Create customer personas based on the demographic data, highlighting characteristics that influence purchasing decisions.
  5. Perform sentiment analysis on the specified platform to understand emotional drivers.
  6. Synthesize findings into a value proposition that addresses pain points, leverages differentiators, and resonates emotionally.

Output format Provide a structured report with sections: Key Pain Points, Unique Selling Points, Customer Personas, Emotional Drivers, and a final Value Proposition Statement (one sentence). Use clear headings and bullet points.

Guardrails

  • Do not invent data; base all insights on the provided sources.
  • Flag any assumptions made when data is incomplete.
  • Keep the value proposition concise and customer-centric.

Example Customer feedback from Q3 surveys, competitor analysis of top 3 rivals, demographic data from CRM, sentiment from Twitter.

Follow-up prompts

  • How can we test this value proposition with real customers?
  • What adjustments should we make based on negative feedback?
  • Can you suggest messaging that communicates this value proposition across different channels?