Automatic AI Summary: Now you find your insights with one look

From raw data to clear stories, automatically

Building a narrative from fieldwork results often means hours spent reviewing raw data, searching for patterns to turn into clear insights.  This process can be time-consuming and mentally draining, keeping researchers oscillating between detail and strategy instead of focusing on the bigger picture.

Automatic AI Summary addresses this by adding an immediate qualitative layer on top of each analysis. It narrates the results, showing what each theme signifies, how strong it is, and why it matters.

What’s new

Every time you open an analysis, the AI Summary now automatically appears in the sidebar.

It presents your main findings through 3 to 5 key themes, each encompassing:

• Quantitative data points (e.g., N - sample).
• A short qualitative narration that explains the meaning behind the numbers
• Include 2 to 3 representative quotes, adding verbatim and voice if present.

For segmented analyses or entity views, the summary provides a deeper look:

• Performing statistical tests (p-value, Cramer’s V),
• Reporting only significant differences,
• and connecting each insight to its theme and respondent evidence.

The result: a cohesive read that links statistics with interpretation in a single view.

Learn more or see it in action

If you’d like to see how this feature works in your ongoing projects, contact your Glaut representative directly or email us at hello@glaut.com.