Product Managers thrive on clarity. But when it comes to understanding application errors and trends, Rollbar’s rich occurrence data can sometimes feel overwhelming.
With AI by Zapier + Google Sheets, you can turn this into a completely automated reporting pipeline—one that generates weekly reports of Rollbar occurrences, organizes them in Sheets, and arms PMs with insights they can use to guide roadmap decisions, reduce risk, and improve user experience.
Step-by-Step Workflow
First Step: Set Up Rollbar to Send Webhooks into Zapier
Configure Rollbar to send webhook notifications on every occurrence.
In Zapier:
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Create a new Zap
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Use “Catch Raw Hook” from Webhooks by Zapier
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Copy the unique webhook URL
In Rollbar:
- Project settings → Notifications → Webhooks → add the URL
- Configure which environments and levels should trigger the webhook (e.g., error, critical)
You now have a live stream of Rollbar occurrences flowing into your Zap.
Second Step: Use AI by Zapier to Transform Error Data into Insight
Raw error payloads can be intimidating—stack traces, timestamps, request data, fingerprints, etc. AI by Zapier lets you turn that raw text into something much more useful:
Examples of AI prompts for your Zap:
“Summarize this error in one sentence a PM can understand.”
“Categorize this occurrence as: User-Facing, Backend, Infrastructure, External Service, or Unknown.”
“Extract these fields if present: error message, root cause, suspected component, user impact.”
“Group this error into a logical theme (e.g., Login Errors, Payment Failures, API Timeouts).”
This step will largely depend on what data you want included in the report.
Third Step: Append Each Processed Error to Google Sheets
In the final step, Zapier sends the AI-enriched data into Google Sheets.
You now have a continuously growing error intelligence system—without writing a line of code.
In Google Sheets, you can use:
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Pivot tables
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Group by error theme, category, or component.
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Queries
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Charts
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Visualize spikes, regressions, or patterns.
Why Product Managers Love This Setup
No more digging into logs or asking engineers what’s breaking. PMs get a weekly snapshot showing:
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What errors happened and how often
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Which areas of the product are most affected
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Whether issues are improving or worsening over time
This automation gives PMs self-service access to contextualized error data.
Weekly reports in Sheets can be:
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Shared directly with leadership
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Included in sprint reviews
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Used to justify resourcing decisions
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Turned into dashboards for visibility across the company
Implementing this workflow is fast, requires no engineering work, and gives PMs get a shareable view into product health.