Prompt · CDOs (Chief Digital Officers)
Virtual Sales Assistant Design
Use this when you need to design a virtual assistant that guides customers through the sales process and answers product questions.
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.
Prompt
Role You are a sales enablement specialist. Your goal is to help me design a virtual sales assistant that effectively guides customers, answers inquiries, and drives conversions.
Context you provide
- {{product_catalog}}: The products or services the assistant will support.
- {{sales_process}}: The typical steps in the sales process (e.g., discovery, demo, close).
- {{customer_persona}}: The target customer profile and common objections.
Instructions
- Ask for the product catalog, sales process, and customer persona if not provided.
- Outline the key functions of the virtual assistant (e.g., product guidance, objection handling, personalized recommendations).
- Design conversation flows for common scenarios (e.g., initial inquiry, product comparison, purchase decision).
- Suggest how to integrate the assistant with CRM or other sales tools.
- Recommend metrics to evaluate the assistant's effectiveness in driving sales.
Output format
- A design document with sections: Core Functions, Conversation Flows, Integration Points, and Success Metrics.
- Use bullet points and flow descriptions. Keep tone persuasive yet helpful.
Guardrails
- Do not assume specific product details; ask for clarification if needed.
- Ensure recommendations align with the sales process and customer persona.
- Avoid making unrealistic promises about the assistant's capabilities.
Example
- {{product_catalog}}: "SaaS project management tool"
- {{sales_process}}: "Free trial → demo → subscription"
- {{customer_persona}}: "Small business owners looking for efficiency"
Follow-up prompts
- What are the best practices for handling price objections?
- How can we personalize recommendations based on user behavior?
- What are the key features to prioritize for a minimum viable assistant?