Skip to main content
Every form collects data, but reading through responses one by one doesn’t scale. Smart Insights uses AI to automatically analyze your survey results so you can spot patterns, understand open-ended answers, and find correlations between questions in seconds.
Smart Insights is not a replacement for fine-grained statistical analysis tools like Excel or R. It’s designed to give you a fast, digestible overview of what your respondents are saying, grounded in real examples.

​
Where to find your results

Once your form has collected responses, you have three tabs under the Results section:
1

Responses

Screenshot showing a table of form responses in Weavely.ai
A table showing every submission you’ve received. You can browse the full list or click into individual responses to see what a specific person answered across all questions.
Screenshot showing individual form responses in Weavely.ai
You also get a per-question view: select any question to see a breakdown of how people responded, including numerical summaries for rating-type questions.
Screenshot showing form responses per question in Weavely.ai
2

Analytics

A high-level dashboard showing how your form is performing over time: total views, number of submissions, and trends. Think of this as meta-data about your form rather than analysis of the answers themselves.
Screenshot showing form analytics in Weavely.ai
3

Smart Insights

This is where AI-powered survey data analysis happens. Smart Insights automatically examines all your responses and surfaces what’s worth paying attention to. More on this below.

​
How Smart Insights analyzes your data

Smart Insights does two things that are hard to do manually: it clusters open-ended text responses into themes and it finds correlations across different questions.

​
Clustering open-ended responses

Screenshot showing smart insights in Weavely.ai
Open-ended questions are notoriously difficult to analyze. When fifty people answer “If you had a magic delete button, which feature would you remove?” in their own words, you need to read every answer to find patterns. Smart Insights handles this automatically. The AI reads every response, groups them into thematic clusters, and presents the results in two ways:
  • Theme summaries — Each cluster gets a label (e.g., “Performance and reliability issues”) with a plain-language explanation of the category and concrete examples pulled from real responses. You see the pattern and the evidence behind it.
  • Bar chart visualization — The same clustering data, shown as a chart so you can instantly see which themes come up most. For example, you might see that 4 out of 50 respondents would remove the “AI standup summaries” feature — even though they all phrased it differently.
The AI groups responses by meaning, not by exact wording. So “the app is too slow,” “loading takes forever,” and “speed needs work” all end up in the same cluster.

​
Finding correlations between questions

Beyond analyzing individual questions, Smart Insights looks across your entire survey to find correlations between answers on different questions. For example, it might surface that users who requested improvements to the mobile app or integrations are also more likely to recommend your product. You’ll see a visualization showing the relationship: what one group answered on one question mapped against their answers on another. This kind of cross-question analysis is exactly the sort of thing that typically requires exporting your data into a spreadsheet and running manual comparisons. Smart Insights does it for you, automatically.

​
When to use Smart Insights

Smart Insights is most valuable when your form includes:
  • Open-ended text questions where respondents write free-form answers that are hard to scan manually
  • Multiple questions where correlations between answers might reveal something you wouldn’t catch by reading responses individually
  • Enough responses to make patterns meaningful. The more submissions you have, the more useful the clustering and correlation analysis becomes