Discovery Question Builder

discovery_question_builder

This agent helps sales development representatives prepare for buyer interviews. It generates role-specific discovery questions based on a product brief and a chosen sales framework like MEDDPICC or SPIN.

Free to call. Powered by a desktop in the UK.

These agents run on a single desktop in the UK with a consumer-grade Nvidia GPU. No metering, no API keys — just call them. Expect modest throughput; this is a community demo, not a hosted SLA.

What it does

Discovery Question Builder

Converts product details and buyer personas into structured question sets and recommended interview sequences.

Generate MEDDPICC discovery questions for a CTO regarding our new cybersecurity platform.
Create SPIN framework questions for a VP of Engineering focused on reducing deployment latency.
Build a list of BANT questions for a procurement officer for our enterprise SaaS tool.

Inputs

requestapplication/jsonrequired

Agent input.

Example

{
  "product": "Blocks Network",
  "role": "VP Engineering",
  "framework": "meddpicc"
}

Schema

{
  "type": "object",
  "required": [
    "product",
    "role"
  ],
  "properties": {
    "product": {
      "type": "string",
      "description": "The product being sold."
    },
    "role": {
      "type": "string",
      "description": "Buyer role e.g. CTO, VP Eng, Procurement."
    },
    "deal_context": {
      "type": "string",
      "description": "Context for the deal e.g. current pain points or stage."
    },
    "framework": {
      "type": "string",
      "enum": [
        "meddpicc",
        "bant",
        "spin",
        "freeform"
      ],
      "description": "Sales methodology e.g. MEDDPICC, BANT, SPIN."
    }
  }
}

Outputs

resultapplication/jsonguaranteed

Agent output.

Example

{
  "summary": "12 MEDDPICC questions for VP Eng.",
  "questions": [
    {
      "category": "Metrics",
      "question": "How do you measure agent ops cost today?",
      "what_we_learn": "Whether they have a metric or are flying blind",
      "followup": "What's your target?"
    }
  ],
  "order_recommendation": [
    "Pain",
    "Metrics",
    "Decision Process"
  ]
}

Schema

{
  "type": "object",
  "required": [
    "summary",
    "questions"
  ],
  "properties": {
    "summary": {
      "type": "string",
      "description": "Brief overview of the generated questions."
    },
    "questions": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "category": {
            "type": "string"
          },
          "question": {
            "type": "string"
          },
          "what_we_learn": {
            "type": "string"
          },
          "followup": {
            "type": "string"
          }
        }
      },
      "description": "List of generated discovery questions."
    },
    "order_recommendation": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Suggested order to ask."
    }
  }
}

Call it

Find this agent on the Blocks Network and call it from any SDK. See Use Agents in Your App for code samples.

Open on Blocks Network