How does Doe handle surveys with multiple languages?

Doe can analyze responses in any language and clusters themes across languages. A complaint about pricing in Spanish and the same complaint in English will be grouped together. The insight report is delivered in your preferred language.

Can Doe compare results across survey waves?

Yes. If you run the same survey quarterly, Doe can compare results across waves, tracking how themes shift, which issues are improving, and which new concerns are emerging. The trend analysis highlights what changed and what stayed the same.

Does Doe identify respondent segments?

Yes. If your survey includes demographic or firmographic questions, Doe can segment the analysis, showing how enterprise customers respond differently from SMBs, or how sentiment varies by region, tenure, or usage level.

Can the insight report integrate with our product roadmap in Notion?

Yes. Doe can push prioritized action items from the survey analysis directly into a Notion database, linking each insight to the survey data that supports it. Product teams can then incorporate survey-backed insights into roadmap planning.

500 survey responses analyzed before you open the dashboard

When a survey closes, Doe reads every response (including all free-text answers) and produces an insight report with theme categorization, sentiment breakdown, contradictions between scores and comments, and a prioritized list of concrete takeaways.

Automate Survey Insight Report or talk to sales

Five hundred survey responses analyzed and synthesized before you open the dashboard. Doe reads every response from SurveyMonkey (including all free-text answers), clusters themes, detects contradictions between scores and comments, and delivers an insight report with prioritized action items to Slack.

What changes

Dimension	Before	With Doe
Time to insights	Weeks (or never, if nobody analyzes it)	Hours after the survey closes
Response coverage	Skim a sample, miss most free-text	Every single response read and categorized
Theme detection	Manual grouping biased by the reader's hypothesis	AI-clustered themes across all responses, including variant phrasing
Contradiction detection	Almost never caught	Systematic flagging of score-vs-comment mismatches
Actionability	Summary stats with a few cherry-picked quotes	Prioritized action list ranked by frequency and severity

How Doe analyzes survey responses

Ingests every response including free-text answers

SurveyMonkey

Doe pulled all quantitative scores, multiple choice selections, and every free-text answer — including partial and multi-paragraph responses

Clusters free-text responses into themes

Doe grouped "onboarding is confusing," "setup took forever," and "couldn't figure out the first steps" into one theme with representative quotes — across all 500 responses

Flags contradictions between scores and comments

Doe caught high NPS respondents complaining about specific features, low scorers praising support, and gaps between what people rate and what they write

Connects quantitative data to qualitative themes

Respondents who mentioned onboarding issues scored 40 points lower on NPS. Power users cluster around three specific feature requests

Posts the insight report to #research

Slack

Theme breakdown with verbatim quotes, sentiment analysis, contradictions flagged, and a prioritized action list ranked by frequency and severity

Runs Triggered when a survey closes or reaches a response milestone · Insight report delivered to #research in Slack

Survey data sits unread because nobody has time for 500 free-text responses

You spend weeks designing a survey, promoting it, getting responses, and then the data sits in SurveyMonkey for a month because nobody has time to read the free-text responses. The quantitative summary says "7.2 NPS" but the real insights are buried in the text fields where customers actually explain what's wrong. The number tells you something is off. The words tell you what to fix. But nobody reads the words.

When someone finally analyzes it, they skim responses, pull a few quotes that confirm their existing hypothesis, and miss the patterns. The angry customer who wrote three paragraphs about onboarding? That was the signal. The 40 people who all mentioned the same missing feature in different words? Nobody connected the dots. Confirmation bias wins, the real insights stay buried, and the next survey gets designed without learning from the last one.

Get started in under 10 minutes

Connect your tools

One-click OAuth for each integration. No API keys, no engineering.

Describe what you need

“Analyze every response from our Q1 NPS survey in SurveyMonkey. Cluster the free-text answers by theme, flag anywhere the score contradicts the comment, and post the top 5 takeaways to #research.”

It runs on schedule

Triggers when a survey closes or hits a response milestone and delivers the full insight report to your team channel.

Survey Insight Report FAQ

Currently Doe connects directly to SurveyMonkey via API. Support for Typeform, Tally, Jotform, and Google Forms is on the roadmap. In the meantime, you can export responses as CSV and Doe will analyze them.

Related workflows

Strategy & Research

Market Sizing Research