Analyze NPS feedback with AI and alert your team automatically

Reads every NPS survey response with AI, scores sentiment and urgency, and alerts your team when a customer needs attention.

How the work actually flows

It branches. Exactly one path is taken.

Pattern: Exclusive Choice (4)

flowchart TD trig>"new survey response received"]:::trig s0["score sentiment and urgency"]:::svc s1["classify response type"]:::task s2[("store feedback record")]:::store trig --> s0 s0 --> s1 gx{"× is feedback urgent"}:::gate s1 --> gx p00["send slack alert"]:::task gx -->|"urgent detractor feedback"| p00 p10["log for later review"]:::task gx -->|"routine feedback"| p10 p00 --> s2 p10 --> s2 out[/"scored and categorized feedback record"/]:::out pay{{"never miss an unhappy customer"}}:::pay s2 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceA record or sheetOne path onlyResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
Email AutomationMessaging & NotificationsSpreadsheet & Database OpsAPI & Webhook IntegrationSurvey & Feedback
Connects
OpenAISupabaseSlack

The problem it solves

You collect NPS scores but comments pile up unread, so real complaints and praise get buried in a spreadsheet. By the time someone notices an unhappy customer, the moment to save the relationship has passed.

Who it fits

Customer success and product teams at SaaS or subscription businesses tracking customer satisfaction.

How it works

  1. A new NPS survey response comes in
  2. AI reads the comment and scores sentiment, key themes, and urgency
  3. The response is classified as a Promoter, Passive, or Detractor
  4. High-priority feedback is stored and an alert is sent to Slack so the right team can follow up
What you get

At-risk customers flagged before they churn

You get every NPS response scored for sentiment and urgency with your team alerted the moment one needs attention.

What you get

A scored, categorized feedback record and an instant alert for any response that needs urgent attention.

What you need

An OpenAI account, a Supabase database, and a Slack workspace.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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