Cluster customer reviews into themes with AI

Automatically groups customer reviews by theme and has AI summarize what customers love and hate.

How the work actually flows

A straight line. Runs once per each review theme cluster.

Pattern: Sequence (1) ยท Multiple Instances with a priori Run-Time Knowledge (14)

flowchart TD trig(("company selected for analysis")):::human s0["pull in customer reviews"]:::task s1[("store reviews by similarity")]:::store s2["group reviews into themes"]:::task s3[["AI summarizes each theme"]]:::mi s4[("save insights to spreadsheet")]:::store trig --> s0 s0 --> s1 s1 --> s2 s2 -->|"one per each review theme cluster"| s3 s3 --> s4 out[/"spreadsheet of review themes and summaries"/]:::out pay{{"quickly see what customers love and hate"}}:::pay s4 --> 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
A stepRuns once per itemA personA record or sheetResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsKnowledge Base & RAGSpreadsheet & Database OpsReporting & AnalyticsWeb Scraping & Data CollectionSurvey & Feedback
Connects
QdrantOpenAIGoogle Sheets

The problem it solves

Reading through hundreds of customer reviews to spot patterns takes days, and it's easy to miss recurring complaints or praise buried in the noise. Manually tagging themes across reviews doesn't scale as feedback grows.

Who it fits

Marketers and product teams who want to understand what customers are really saying in reviews.

How it works

  1. Customer reviews are pulled in for a chosen company
  2. Reviews are stored and organized by similarity
  3. Similar reviews are automatically grouped into themes
  4. AI reads each group and summarizes the key positives and negatives
  5. The insights are saved to a spreadsheet for the team to review
What you get

A clear read on what customers love and hate

You get customer reviews organized into clear themes so you always know what people love and hate about your product.

What you get

A spreadsheet of review themes with AI-written summaries of common praise and complaints.

What you need

A Qdrant vector database account and an OpenAI API key.

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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