The Analysis and Report Agent: The Story Behind the Numbers, Now Surfaced First by AI

The data is there, but the interpretation is not—
the analysis & report agent that fills the last stretch

There is only one reason to run a survey: to gain good insight at the right time and carry it into strategy and action. But the journey from data to analysis and a finished report is a long one.

Opensurvey has been solving this problem with features since before AI. Real-time result sharing, automated cross-tabulation, AI text analysis—all of it dramatically cut time and resources. But speed does not guarantee depth of interpretation. Drawing out insight often remained the domain of the expert.

With AI, though, the Opensurvey team is now crossing that wall. AI reviews response quality, spots meaningful patterns in quantitative data such as cross-tabulations, and structures insight from tens of thousands of open-ended responses to deliver expert-level results.

At the heart of it is an approach unique to Opensurvey. We taught AI how researchers with 20 to 30 years of experience work, so that anyone—even a non-researcher—can produce expert-level reports. This session shares the Opensurvey team’s journey.

Program

1. Analysis and reporting—why does it take so long?

2. Good data makes good analysis—the basics of response-quality management

3. AI open-ended analysis—how to structure insight from thousands of text responses

4. How AI produces expert-level reports