AI Workflows Automation #4968: NPS Collection with Zendesk + Slack + JotForm

Problem

Model output from Zendesk is only useful when nps collection results land reliably in Slack with trace logs.

The flow below documents that production path.

Workflow

Event in Zendesk → validate payload → update Slack → log outcome for review.

Tools Used

• Zendesk
• Slack
• JotForm

Setup Steps

1. Connect Zendesk and Slack with scoped API permissions.
2. Configure the nps collection entry condition (Hard difficulty in this library entry).
3. Set field transforms and default values between tools.
4. Add a dead-letter or retry path for failed runs.
5. Validate with sample data before go-live.

Expected Outcome

• nps collection runs without manual copy-paste between Zendesk, Slack, JotForm.
• Status updates stay aligned across the connected tools.
• Failures surface in one place instead of silent drift.

Benefits & ROI

• Ranked as Low ROI in our template dataset for AI Workflows.
• Typical implementation complexity: Hard.
• Frees ops time from repetitive nps collection tasks in this stack.

Troubleshooting

• Log model inputs/outputs for traceability; never send secrets to LLM nodes.
• Add human review for low-confidence classifications.
• Cap token usage and set timeouts on inference steps.