Turn every customer survey into a clear action plan

AI reads each survey response, scores satisfaction, and flags urgent complaints so your team knows what to fix first.

How the work actually flows

It branches. Exactly one path is taken.

Pattern: Exclusive Choice (4) · Simple Merge (5)

flowchart TD trig>"survey response submitted"]:::trig s0["Satisfaction score calculated"]:::task s1["Feedback analyzed by AI"]:::svc s2[("Saved to database")]:::store trig --> s0 s0 --> s1 gx{"× is feedback urgent"}:::gate s1 --> gx p00["Alert created"]:::task gx -->|"Urgent negative feedback"| p00 p10["No alert needed"]:::task gx -->|"Normal feedback"| p10 jn{"○ continue to save"}:::gate p00 --> jn p10 --> jn jn --> s2 out[/"Scored feedback with urgent alerts"/]:::out pay{{"Angry customers caught immediately"}}:::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 onlyPaths rejoinResultPayoff
Build size
Advanced

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

Business functions
Spreadsheet & Database OpsReporting & AnalyticsAPI & Webhook IntegrationSurvey & Feedback
Connects
OpenAISupabase
Featured in

The problem it solves

You send out customer satisfaction surveys, but reading through every response to spot the real problems takes hours you do not have. Meanwhile an angry customer's feedback can sit unnoticed for days while their frustration grows.

Who it fits

Customer experience, support, or product teams that collect satisfaction or CSAT surveys.

How it works

  1. A new survey response comes in
  2. The system calculates a satisfaction score and urgency level
  3. AI reads the feedback for sentiment, key themes, and specific pain points
  4. If the feedback is urgent or negative, an alert is created right away
  5. Everything is saved to a database for reporting
What you get

Urgent complaints flagged for your team to fix

You get every customer survey scored for satisfaction and urgency, with the specific pain points your team needs to fix first.

What you get

A scored, categorized analysis of each survey plus instant alerts on urgent complaints.

What you need

An OpenAI API key and a Supabase database.

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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