Operations Automation #2565: NPS Collection with OpenAI + Slack + MongoDB

Problem

Internal nps collection spans OpenAI, Slack, MongoDB, yet ops still copy payloads between systems to keep processes moving.

Central orchestration reduces single points of failure and tribal knowledge.

Workflow

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

Tools Used

• OpenAI
• Slack
• MongoDB

Setup Steps

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

Expected Outcome

• A repeatable nps collection path for operations teams.
• Less context switching between OpenAI and Slack.
• Easier hand-offs for the next ops owner.

Benefits & ROI

• Library metadata: Medium ROI tier · Hard difficulty · ~5 min setup estimate.
• Reduces manual nps collection steps between OpenAI, Slack, MongoDB.
• Provides a baseline you can extend with approvals, logging, or QA gates.

Troubleshooting

• Document rollback steps before enabling destructive actions.
• Re-authenticate OAuth tokens if the flow stops unexpectedly.
• Compare field types between source and destination mappings.