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.