How to Log Voice AI Calls to Google Sheets: Complete Setup Guide

You don't need a CRM to track your voice AI calls. Google Sheets works surprisingly well—especially for small teams, MVPs, and use cases where simplicity beats complexity.

This guide shows you how to set up automatic call logging from Edesy's voice AI to Google Sheets in under 10 minutes.

Why Google Sheets?

Common objections to CRMs:

• "We're a 5-person team. Salesforce is overkill."
• "Our budget doesn't include $150/user/month for CRM."
• "We just need to track calls, not manage a sales pipeline."

Google Sheets advantages:

• Free (with a Google account)
• Everyone knows how to use it
• Share with read-only links—no per-seat licenses
• Build charts and reports with pivot tables
• Integrate with anything via Zapier or Apps Script

What Data Gets Logged

Every call automatically captures:

Plus any custom fields you extract:

• Customer name
• Email address
• Order number
• Appointment date/time
• Issue description
• Product interest
• Budget range

Step 1: Prepare Your Spreadsheet

Create a new Google Sheet with headers for the data you want to capture:

| Timestamp | Phone | Name | Email | Duration | Outcome | Transcript | Notes |
|-----------|-------|------|-------|----------|---------|------------|-------|

Pro tip: Add data validation to the Outcome column:

1. Select the column
2. Data → Data validation
3. Add your outcome options: "Appointment Booked", "Callback Requested", "Not Interested", etc.

Step 2: Connect Google Sheets to Edesy

1. Go to your Edesy dashboard → Integrations
2. Click Connect Google Sheets
3. Authorize with your Google account
4. Select your spreadsheet from the dropdown

The OAuth flow ensures secure access without sharing passwords.

Step 3: Map Fields to Columns

Tell Edesy which call data goes to which column:

Step 4: Configure Extraction

To capture custom fields like name and email, configure your agent to extract them:

{
  "extractionFields": [
    {
      "name": "customer_name",
      "description": "The customer's full name",
      "type": "string"
    },
    {
      "name": "email",
      "description": "Customer's email address if provided",
      "type": "string"
    },
    {
      "name": "appointment_date",
      "description": "Date of the booked appointment",
      "type": "date"
    }
  ]
}

The AI automatically extracts these from the conversation and logs them to your sheet.

Step 5: Test the Integration

1. Make a test call to your agent
2. Provide some sample data ("My name is John, email is [email protected]")
3. Check your spreadsheet—a new row should appear within seconds

Real-World Examples

Example 1: Lead Qualification Sheet

Headers:

| Date | Phone | Name | Company | Budget | Timeline | Decision Maker | Score | Follow-up |

Agent extraction config:

{
  "extractionFields": [
    {"name": "company", "description": "Company name"},
    {"name": "budget", "description": "Budget range mentioned"},
    {"name": "timeline", "description": "When they need the solution"},
    {"name": "decision_maker", "description": "Is this person the decision maker?", "type": "boolean"}
  ]
}

Result: Every qualified lead appears with BANT data. Filter by "Decision Maker = TRUE" and "Budget > $10K" to prioritize follow-ups.

Example 2: Appointment Booking Log

Headers:

| Date | Patient Phone | Patient Name | Appointment Date | Appointment Time | Service | Confirmed |

Agent extraction config:

{
  "extractionFields": [
    {"name": "patient_name", "description": "Patient's name"},
    {"name": "appointment_date", "description": "Booked appointment date", "type": "date"},
    {"name": "appointment_time", "description": "Booked appointment time"},
    {"name": "service", "description": "Type of service/consultation"}
  ]
}

Result: Front desk reviews the sheet each morning. All voice bookings are there alongside online bookings.

Example 3: Collection Call Tracker

Headers:

| Date | Customer Phone | Amount Due | Promise to Pay | Payment Date | Notes |

Agent extraction config:

{
  "extractionFields": [
    {"name": "amount_due", "description": "Outstanding amount discussed"},
    {"name": "promise_to_pay", "description": "Did customer commit to pay?", "type": "boolean"},
    {"name": "payment_date", "description": "When customer will pay", "type": "date"}
  ]
}

Result: Finance team tracks collection effectiveness. Filter by "Promise to Pay = TRUE" for expected receivables.

Advanced: Triggering Actions from Sheets

Google Sheets can trigger actions when new rows are added:

Send Email Notification

Use Google Apps Script:

function onNewRow(e) {
  const range = e.range;
  const sheet = range.getSheet();

  if (sheet.getName() === 'Leads' && range.getColumn() === 1) {
    const row = range.getRow();
    const name = sheet.getRange(row, 3).getValue();
    const outcome = sheet.getRange(row, 6).getValue();

    if (outcome === 'Hot Lead') {
      MailApp.sendEmail({
        to: '[email protected]',
        subject: `Hot Lead: ${name}`,
        body: `New hot lead from voice AI. Check row ${row} in the Leads sheet.`
      });
    }
  }
}

Update Another System via Zapier

1. Create a Zap: "New Row in Google Sheets"
2. Filter: Outcome = "Appointment Booked"
3. Action: Create Calendar Event / Send SMS Confirmation / Update CRM

Handling Scale

Google Sheets works well up to:

• ~50,000 rows (then performance degrades)
• ~100 calls per day (real-time logging)

For higher volumes:

1. Archive monthly: Move old data to a new sheet
2. Use BigQuery: Google Sheets can push data to BigQuery for analytics
3. Upgrade to CRM: When you outgrow Sheets, export to HubSpot/Salesforce

Common Issues

Data not appearing?

1. Check OAuth is still connected (tokens expire)
2. Verify column mapping matches your sheet structure
3. Check for sheet name changes (if you renamed the sheet)

Duplicate rows?

1. Enable idempotency in webhook settings
2. Add a Call ID column and use it for deduplication

Slow updates?

1. Google Sheets API has rate limits
2. For high volume, batch updates every 30 seconds instead of real-time

Conclusion

Google Sheets + Voice AI is a powerful combination for teams that:

• Don't want CRM complexity
• Need fast, free setup
• Want data accessible to everyone
• Plan to build custom reports

Start with Sheets. Migrate to a CRM when you've validated the use case and have budget.

Ready to log voice AI calls to Google Sheets? Connect your Edesy agent in 2 minutes.