Score call center transcripts for sentiment with AI and Google Sheets

It reads call transcripts from a spreadsheet, scores sentiment and performance with AI, and writes the results back.

How the work actually flows

A straight line. Runs once per each call transcript.

Pattern: Sequence (1) ยท Multiple Instances with a priori Design-Time Knowledge (13)

flowchart TD trig(["runs on a schedule"]):::trigtime s0[["pull each transcript"]]:::mi s1["score transcript with ai"]:::task s2["generate rating and summary"]:::task s3[("write results to sheet")]:::store trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"scored transcripts in spreadsheet"/]:::out pay{{"spot coaching gaps without listening to every call"}}:::pay s3 --> 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 stepRuns once per itemA record or sheetResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsSpreadsheet & Database OpsSurvey & FeedbackEducation & Training
Connects
Google GeminiGoogle Sheets

The problem it solves

Reviewing call recordings or transcripts one by one to spot coaching opportunities eats up hours your team doesn't have. Quality issues and training gaps slip through because nobody has time to listen to every call.

Who it fits

A call center manager or QA specialist who needs to review agent performance at scale.

How it works

  1. Call transcripts are pulled from a spreadsheet
  2. AI reads each transcript and scores greeting, tone, problem-solving, and resolution
  3. An overall rating and topic summary is generated
  4. The results are written back into the spreadsheet
What you get

Calls scored and ready to review

You get every call transcript scored for tone, problem-solving, and resolution, with results logged automatically to your spreadsheet.

What you get

An updated spreadsheet with sentiment scores, ratings, and topic summaries for every call.

What you need

A Google account and access to Google Gemini.

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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