Automatically cluster survey responses and surface key themes

Groups open-ended survey answers by meaning and has AI summarize the common themes in each group.

How the work actually flows

A straight line. Runs once per one per theme group.

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

flowchart TD trig(("user runs survey analysis")):::human s0[("pull survey responses")]:::store s1["group answers by meaning"]:::task s2[["summarize each group's themes"]]:::mi s3[("write insights back")]:::store trig --> s0 s0 --> s1 s1 -->|"one per one per theme group"| s2 s2 --> s3 out[/"spreadsheet of summarized survey themes"/]:::out pay{{"patterns surface without reading everything"}}:::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
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 & AnalyticsSurvey & Feedback
Connects
Google SheetsOpenAIQdrant

The problem it solves

You've got hundreds of open-ended survey answers and no realistic way to read through all of them looking for patterns. The common complaints and the genuine praise both get lost sitting in a spreadsheet.

Who it fits

A researcher or product team analyzing open-ended survey feedback.

How it works

  1. Survey responses are pulled in from a spreadsheet
  2. Similar answers are grouped together by meaning
  3. AI reviews each group and summarizes the common themes
  4. The insights and supporting responses are written back into the spreadsheet
What you get

Survey themes grouped and summarized for you

Your open-ended survey answers get grouped by common theme and summarized in plain language, giving you a clear read on what respondents are really saying.

What you get

A spreadsheet of grouped survey themes with AI-written summaries and the responses behind each one.

What you need

A Google account, an OpenAI API key, and a Qdrant vector 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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