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Whippy Voice AI Data Parsing

Whippy Voice AI Data Parsing automatically extracts key details like names, phone numbers, and referral sources from call transcripts into structured fields. Easily customize, reorder, and edit data points to streamline follow-up and reporting.

Nico Krzyzanowski avatar
Written by Nico Krzyzanowski
Updated this week

Whippy Voice AI doesn’t just handle calls—it also extracts and organizes important details from conversations so your team can quickly review, follow up, and take action. This process is called data parsing. Instead of digging through full transcripts, you’ll see structured data points pulled directly from the call.


What Data Parsing Does

When your AI agent finishes a call, Whippy automatically parses the transcript and logs key information in the Data panel. This makes it easy to:

  • Capture caller details (name, phone, email, etc.)

  • Standardize answers to screening questions

  • Feed structured data into follow-up workflows and sequences

  • Speed up recruiter or staff review

For example, if a candidate shares their name, phone number, email, and referral source, Whippy will display those details neatly in the right-hand panel of the call analysis screen.


Types of Data Points

Whippy supports multiple types of data points depending on what you want to capture:

  • Text – Freeform responses such as names, addresses, or open-ended questions.
    Example: “Tom Smith” or “21000 Portland Street.”

  • Number – Numeric values like phone numbers, dates, or ID numbers.
    Example: “2029525179.”

  • Boolean – Yes/No responses.
    Example: “Are you legally authorized to work in the U.S.?” → TRUE=Yes/FALSE=No.

  • Selector – Multiple-choice or predefined list options.
    Example: “Preferred Contact Method: Phone Call / Text / Email.”


Modifying Data Points

You’re not locked into the defaults. You can:

  • Add new data points that matter to your business

  • Rename existing fields for clarity

  • Change a data point type (e.g., make “Referral Source” a selector with standard options instead of text)

This flexibility ensures your parsed data matches your actual workflows.


Reordering Data Points

Whippy includes a drag-and-drop editor for sequencing data points. You can rearrange fields in the order you want to see them during reviews. For example, put “Phone Number” and “Email” first if those are the most important for follow-up.


Best Practices

  • Keep it simple: Only collect the information your team actually uses.

  • Standardize where possible: Use selectors instead of free text to avoid typos or messy data.

  • Align with follow-up workflows: Make sure the order of fields matches how your recruiters or staff process leads.


Troubleshooting & FAQs

Q: Some fields aren’t being captured. What do I do?
A: Check your agent’s script. If the AI isn’t asking the right questions, data parsing won’t trigger.

Q: Can I export parsed data?
A: Yes, parsed data flows into your call logs and can be exported for reporting.

Q: Can I edit parsed data manually?
A: Absolutely. If the AI mishears, you can update the field directly in the Data panel.


With Voice AI data parsing, your team spends less time digging through transcripts and more time taking action on accurate, structured information.

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