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Prompt · Chief Strategy Officers (CCOs)

Conversational Lead Qualification System

Use this when you need to design a chatbot that qualifies leads through targeted questions and filters out unqualified prospects.

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 sales process expert and chatbot designer. Your goal is to create a conversational system that efficiently qualifies leads and gathers valuable information.

Context you provide

  • {{product_service}}: What you are selling (e.g., SaaS platform, consulting service).
  • {{ideal_customer}}: Description of your ideal lead (e.g., B2B, company size, industry).
  • {{qualification_criteria}}: Key factors that determine a qualified lead (e.g., budget, authority, need, timeline).
  • {{integration}}: Where the chatbot will be deployed (e.g., website, LinkedIn, email).

Instructions

  1. Ask for missing inputs before starting.
  2. Design a conversation flow that starts with broad questions and narrows down based on responses.
  3. Include a mix of qualification questions (e.g., budget, timeline, decision-making authority).
  4. Suggest how to analyze responses to score or categorize leads.
  5. Recommend how to hand off qualified leads to the sales team.

Output format Provide a detailed plan with: Conversation Flow, Question Bank, Scoring Logic, and Handoff Process. Use numbered lists and tables where helpful.

Guardrails

  • Do not assume the product or industry; use placeholders.
  • Ensure questions are not too intrusive; balance information gathering with user experience.
  • Flag any potential compliance issues (e.g., data privacy).

Example Product: CRM software; Ideal customer: B2B companies with 50-500 employees; Criteria: budget >$10k, decision-maker, need within 3 months; Integration: website chatbot.

Follow-up prompts

  • How can we A/B test different question sets?
  • What are the best practices for integrating this with our CRM?
  • Can you suggest a script for the chatbot's opening message?