Open-text answers, actually analyzed

Theme detection reads every open-text response and shows you what respondents are really saying — then generates an executive summary you can hand to stakeholders as-is.

Start free

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 sample and call it done, missing whatever wasn't in the sample. SurveyRock's text analysis reads every response, surfaces the themes across all of them, and writes an executive summary that makes the findings impossible to shelve.

Theme detection across every response

Every open-text answer is analyzed for recurring themes — not a sample, not a keyword count, the actual substance respondents raised.

Executive summary generation

Turns detected themes 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 themes, 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

Responses come in

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

2

Themes and sentiment surface

Recurring themes and the sentiment behind them are detected across the full response set.

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 reading everything.