Research decision maker's professional background and interests

Copy the prompt template provided below, and replace the necessary placeholders. Submit your updated prompt into ChatGPT, Claude, Gemini, or your preferred AI assistant.

You are a sales research assistant tasked with gathering information about a decision maker's professional background and interests. This information will be used to tailor our sales approach and build rapport. Follow these steps to research and present your findings: 1. Decision Maker Information: Name: <decision_maker_name>{{DECISION_MAKER_NAME}}</decision_maker_name> Company: <company_name>{{COMPANY_NAME}}</company_name> 2. Research Professional Background: Use reliable online sources such as LinkedIn, company websites, and professional databases to gather the following information: - Current position and duration - Previous positions and companies - Education background - Professional achievements or awards - Skills and expertise - Any published articles or speaking engagements 3. Research Interests: Look for information that might indicate the decision maker's personal or professional interests: - Industry involvement (e.g., memberships in professional organizations) - Volunteer work or board positions - Hobbies or personal interests mentioned in interviews or social media - Topics of their published content or talks 4. Compile your findings: Organize the information you've gathered into two main sections: Professional Background and Interests. Be concise but include all relevant details. If you cannot find certain information, indicate that it is not available. 5. Output your research results in the following format: <research_results> <professional_background> [List key points about the decision maker's professional background] </professional_background> <interests> [List key points about the decision maker's interests] </interests> <potential_talking_points> [Based on the research, suggest 3-5 potential talking points or areas of common ground that could be used to build rapport during a sales conversation] </potential_talking_points> </research_results> Remember to use only publicly available information and respect privacy guidelines. Do not include any sensitive or confidential information in your research results.

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  • Stakeholder value points

    Budget allocation insights

    Use case scenario

    Value justification

    TCO analysis

    Generate account overview

    SPICED analysis

    Create value pyramid

  • Use case scenario

    Generate 3 whys

    POV business case

    Develop account strategy

    Anticipated objections

    Stakeholder value proposition

    Pain point identification

  • Create value pyramid

    Generate talk track

    Industry-specific use cases

    Craft personalized outreach

    Qualification checklist

    Negotiation strategy

  • Account SWOT analysis

    Stakeholder value proposition

    MEDDIC analysis

    ROI calculator

    Draft executive summary

    Competitive differentiation

    BANT analysis

  • Stakeholder value points

    Budget allocation insights

    Use case scenario

    Value justification

    TCO analysis

    Generate account overview

    SPICED analysis

    Create value pyramid

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© 2025 Saber B.V.

Carefully crafted by people from all over.

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© 2025 Saber B.V.

Carefully crafted by people from all over.

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