Analyze meeting sentiment automatically and track it in Google Sheets

Reads meeting transcripts with AI and logs team sentiment, engagement, and morale risk straight into a spreadsheet.

How the work actually flows

It branches. Exactly one path is taken.

Pattern: Sequence (1) · Exclusive Choice (4)

flowchart TD trig>"meeting transcript submitted"]:::trig s0["validate required fields"]:::task s1["analyze sentiment with ai"]:::svc s2["format and timestamp results"]:::task trig --> s0 s0 --> s1 s1 --> s2 gx{"× does meeting record exist"}:::gate s2 --> gx p00["create sheet record"]:::task gx -->|"new meeting"| p00 p10["update sheet record"]:::task gx -->|"existing meeting"| p10 jn{"○ record saved"}:::gate p00 --> jn p10 --> jn jn --> out out[/"sentiment logged in spreadsheet"/]:::out pay{{"hr spots morale risks early"}}:::pay 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 serviceOne path onlyPaths rejoinResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsEmail AutomationMessaging & NotificationsSpreadsheet & Database OpsReporting & AnalyticsSurvey & FeedbackScheduling & Calendar
Connects
Azure OpenAIGoogle SheetsSlackGmail

The problem it solves

You want to know how your team is really feeling after meetings, but reading through transcripts and guessing at morale takes time nobody has. Warning signs like disengagement or frustration can slip by until they turn into bigger problems like turnover.

Who it fits

HR, people operations, and managers who want to track team morale and engagement over time.

How it works

  1. Meeting transcript data is sent into the system
  2. The system checks that all required details are present
  3. AI analyzes the transcript for sentiment, engagement, and morale risk
  4. The results are cleaned up and given a timestamp
  5. The meeting record is created or updated in a spreadsheet automatically
What you get

Morale shifts you spot before they escalate

Your meeting transcripts are automatically analyzed for sentiment and engagement and logged for your team to review.

What you get

A structured, up-to-date spreadsheet record of team sentiment and morale for every meeting.

What you need

An Azure OpenAI account and a Google Sheets 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