Text analysis

Open-text answers, actually analyzed

Theme detection pulls out the things people keep bringing up in their open-text answers — then writes an executive summary you can hand to stakeholders as-is.

The most honest data you collect is the least read

Writing questions takes an afternoon. Reading five thousand open-text answers takes a month — so most teams skim a few, go with their gut, and move on. SurveyRock gives you that month back: it pulls out the topics people keep raising and writes an executive summary that makes the findings impossible to shelve.

What people keep bringing up

SurveyRock groups answers by what people mean, not the exact words they used — so "it's gotten way too expensive" and "the price keeps creeping up" end up in the same pile.

Executive summary generation

Turns detected topics and response patterns into a written summary, ready to hand to stakeholders who don't have time to read the raw data.

Sentiment analysis

Surfaces the emotional tone behind responses alongside the topics, so you know not just what respondents said but how they felt about it.

Conversational insights — ask your data

Query your response data directly — aggregate patterns, trends over time, comparisons between segments, or a specific respondent's answers — instead of building a report by hand.

How it works

From raw responses to a written summary

  1. 1

    Responses come in

    Text analysis runs on open-text answers as they arrive — no manual tagging or export required.

  2. 2

    Topics and sentiment surface

    The topics people keep raising come to the surface, along with the sentiment behind them. Past 1,000 answers, SurveyRock finds the topics in a sample balanced across your surveys and months.

  3. 3

    Read the executive summary

    A written summary of what respondents said and how they felt is ready to share — edit it or hand it off as-is.

Stop skimming. Start listening.