Schema Library

NPS Follow-up Call output schema

NPS Follow-up Call output schema: JSON fields, CSV headers, validation rules, and integration notes for structured AI phone call outcomes.

Browse schemas

JSON schema

{
  "outcome": "NPS follow-up call outcome",
  "fields": [
    {
      "description": "caller name captured during the call.",
      "name": "caller_name",
      "required": true,
      "type": "text"
    },
    {
      "description": "phone number from caller id captured during the call.",
      "name": "phone_number_from_caller_id",
      "required": true,
      "type": "text"
    },
    {
      "description": "nps score captured during the call.",
      "name": "nps_score",
      "required": true,
      "type": "number"
    },
    {
      "description": "reason captured during the call.",
      "name": "reason",
      "required": true,
      "type": "text"
    },
    {
      "description": "customer segment captured during the call.",
      "name": "customer_segment",
      "required": true,
      "type": "text"
    },
    {
      "description": "follow up requested captured during the call.",
      "name": "follow_up_requested",
      "required": false,
      "type": "text"
    },
    {
      "description": "recommended action captured during the call.",
      "name": "recommended_action",
      "required": false,
      "type": "text"
    }
  ]
}

CSV headers

caller_name,phone_number_from_caller_id,nps_score,reason,customer_segment,follow_up_requested,recommended_action

Validation rules

  • Required fields should be asked directly
  • Dates and times should include timezone when relevant
  • Urgency and handoff fields should use a controlled vocabulary
  • Unknown values should be saved as unknown, not invented

Structured output schema

{
  "outcome": "NPS Follow-up Call output schema outcome",
  "fields": [
    {
      "description": "caller name captured during the call.",
      "name": "caller_name",
      "required": true,
      "type": "text"
    },
    {
      "description": "phone number from caller id captured during the call.",
      "name": "phone_number_from_caller_id",
      "required": true,
      "type": "text"
    },
    {
      "description": "nps score captured during the call.",
      "name": "nps_score",
      "required": true,
      "type": "number"
    },
    {
      "description": "reason captured during the call.",
      "name": "reason",
      "required": true,
      "type": "text"
    },
    {
      "description": "customer segment captured during the call.",
      "name": "customer_segment",
      "required": true,
      "type": "text"
    },
    {
      "description": "follow up requested captured during the call.",
      "name": "follow_up_requested",
      "required": false,
      "type": "text"
    },
    {
      "description": "recommended action captured during the call.",
      "name": "recommended_action",
      "required": false,
      "type": "text"
    }
  ]
}

Quality gate

  • Unique workflow artifact on the page
  • Visible script, checklist, or question set
  • Human handoff rules for sensitive calls
  • Product CTA that creates a real Call App
  • Internal links to related templates and compliance pages

How to use this resource

Build the first version

Use the page as a launch brief, not a finished policy document. Copy the prompt into the builder, keep the workflow limited to one caller intent, and test whether the first two questions collect enough context for a useful owner follow-up.

Review the output

Before publishing, check that the saved outcome has useful fields for the team: caller name, phone number from caller id, nps score. Remove fields that are not needed, and route regulated, urgent, or ambiguous calls to a person instead of forcing automation.

Measure quality

Track whether callers finish the flow, whether owners understand the summary, and whether handoff rules trigger at the right time. A useful Call App should reduce missed context, not just answer the phone with a longer script.

Improve the page

When this workflow starts getting impressions or demo calls, add real examples from the use case: a better transcript, a refined schema, integration notes, and clearer exclusions for cases the AI phone workflow should not handle.

FAQ

Who should use NPS Follow-up Call output schema?

NPS Follow-up Call output schema is for teams that want a callable workflow instead of a static page or loose voicemail. It is most useful when callers need to explain context out loud and the team needs a repeatable result with caller name, phone number from caller id, nps score.

What should I customize before launching it?

Start with the json schema, then edit the opening disclosure, required questions, handoff rules, and owner notification. Keep the first version narrow: one caller goal, one output schema, and one clear next action after the call.

How does this connect back to CallURL?

The page is written as a practical starting point for a real Call App. Use the visible prompt, schema, examples, and related workflow links to create a working phone flow, then test it with routine, incomplete, and sensitive caller scenarios.

What makes this page different from a generic AI phone agent page?

This resource is centered on a specific workflow artifact, not broad product copy. It includes concrete fields, handoff rules, related templates, and a demo entry point so a visitor can judge whether nps follow-up call output schema fits their use case.

Related pages

Create this Call App

Use the prompt, schema, handoff rules, and examples on this page as the starting point for a working CallURL Call App.