Automatically score and sort customer feedback into ranked leads

New reviews in Google Sheets are analyzed by AI for sentiment and intent, scored, summarized, and organized for your team.

How the work actually flows

It branches. Every path runs; all paths must finish before it continues.

Pattern: Parallel Split (2) ยท Synchronisation (3)

flowchart TD trig[\"new review added to sheet"\]:::trigdata s0["read new review"]:::task s1[("save results to sheet")]:::store trig --> s0 gx{"+ what to analyze in review"}:::gate s0 --> gx p00["classify intent"]:::task gx -->|"classify intent"| p00 p10["detect sentiment and score"]:::task gx -->|"score sentiment"| p10 p20["write short summary"]:::task gx -->|"summarize review"| p20 jn{"+ analysis complete"}:::gate p00 --> jn p10 --> jn p20 --> jn jn --> s1 out[/"scored and summarized feedback sheet"/]:::out pay{{"faster prioritization of follow ups"}}:::pay s1 --> 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 stepA record or sheetEvery pathWaits for allResultPayoff
Build size
Standard

A mid-size build with several tools working together.

Business functions
AI Agents & Autonomous SystemsSpreadsheet & Database OpsSurvey & Feedback
Connects
Google SheetsAzure OpenAI

The problem it solves

Customer feedback piles up in a spreadsheet, and reading through every review to figure out who is happy, who is upset, and who is worth a follow-up call takes hours you do not have. Important signals get missed simply because nobody had time to read closely.

Who it fits

Sales, product, and customer success teams that collect feedback through forms and need to prioritize follow-up.

How it works

  1. A new review or feedback response is added to your Google Sheet
  2. AI reads it and classifies the intent, like praise, complaint, or suggestion
  3. AI detects the sentiment and assigns a score from 1 to 10
  4. AI writes a short summary of the review
  5. The results are saved alongside the customer's details in a new sheet
What you get

Feedback already sorted by sentiment so you know what to read first

New customer feedback arrives already tagged with sentiment and a short summary so you can quickly see what matters.

What you get

A structured spreadsheet of scored, summarized feedback, ready for reporting or CRM import.

What you need

A Google Sheets account and an Azure OpenAI account.

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

Related automations

Back to the AI Playbook