Create a Data Collection Schema
🧾 How to Create a Data Collection Schema in VoiceB.ai
VoiceB.ai lets you collect structured data from users during calls, making it easy to capture key information like names, addresses, product preferences, and more. Here’s how to set up your own Data Collection Schema — and how it integrates with your CRM or webhook.
✅ Step-by-Step: Creating a New Schema
Go to "New Schema"
Click the + New Schema button to start a new data set.
Give it a Name and Description
Example:
Name:
Basic personal data
Description:
Default data collection for Telco customers, includes name, phone, email, etc.
Add as Many Fields as You Need For each field, enter the following:
Field name – e.g.,
email
Format – e.g.,
text
,number
,date
Description – what the field is for (e.g.,
Customer email address
)Example – e.g.,
[email protected]
Click the Arrow (⬆️) to Add the Field
You can repeat this process and add unlimited fields before saving.
Click Save
Once saved, the schema is locked and cannot be edited. But don’t worry — if you need changes, just create a new schema.

📌 Using the Schema
Once your schema is created, you can assign it to any AI Agent:
Go to the agent’s configuration screen
Select the desired schema under Data Collection
This tells the agent what to collect during each conversation

🔗 Integration & Post-Call Automation
If you're using CRM integrations (like HubSpot or Salesforce):
Your data fields will appear in the mapping section, ready to sync automatically.
If you're using webhooks:
You’ll receive all collected data, plus:
Post-call transcript
Summary
And every data field collected
This ensures you get the full picture from every conversation — structured, synced, and ready to use.
Need help structuring complex data? Reach out to our team — we’ll help you build the right schema for your flow.
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