Customer Success Automation #1766: NPS Collection with Typeform + Airtable + OpenAI

Problem

CS teams track nps collection across Typeform, Airtable, OpenAI, but manual updates mean health scores and account notes drift out of date.

This workflow keeps customer records consistent after each lifecycle event.

Workflow

Typeform trigger → transform/map fields → Airtable action → optional alert via OpenAI.

Tools Used

• Typeform
• Airtable
• OpenAI

Setup Steps

1. Create credentials for Typeform, Airtable, OpenAI in your orchestration platform.
2. Define the nps collection trigger in Typeform.
3. Map required fields from Typeform to Airtable.
4. Add error handling appropriate for a Hard workflow.
5. Run a test payload, then enable production execution (~13 min typical setup in our dataset).

Expected Outcome

• A repeatable nps collection path for customer success teams.
• Less context switching between Typeform and Airtable.
• Easier hand-offs for the next ops owner.

Benefits & ROI

• Library metadata: Medium ROI tier · Hard difficulty · ~13 min setup estimate.
• Reduces manual nps collection steps between Typeform, Airtable, OpenAI.
• Provides a baseline you can extend with approvals, logging, or QA gates.

Variations

• Batch non-urgent nps collection runs on a schedule instead of realtime.
• Archive raw payloads to a datastore for audit.

Troubleshooting

• Pause the workflow before rotating API keys, then resume after credentials update.
• Map account IDs consistently across CS tools.
• Verify health-score or NPS fields accept automated updates.