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The new Talk with Data is now available: question your entire dataset in natural language and get insights ready to report, with response times cut by up to 40%.

New features

Natural conversation with your entire dataset

Talk with Data interprets any question written in natural language and generates insights using the full context of your study — quantitative responses, open-ended text, AI follow-ups, segmentations, branching, and survey logic — with no filters to configure or dashboards to navigate.

Automatic patterns, correlations, and clusters

The engine detects hidden patterns in responses, correlations between questions, differences across demographic segments, and recurring behavioral groups.

Contextual, generative insights

Every answer is accurate, grounded in the full context of your study, and ready to paste into reports, presentations, or operational decisions.

Improvements

Performance on large datasets

Data extraction and indexing have been optimized: response times are reduced by up to 40%, even very large studies are processed in seconds, and interactions stay smooth on complex requests.

Open-ended response analysis

The new semantic engine analyzes all free text automatically, with more accurate sentiment, clearer identification of implicit motivations, more robust and coherent semantic clustering, and a deeper reading of the reasons behind the answers — work that previously required manual review and long reading sessions.

Cleaner, more structured output

AI-generated answers are formatted for immediate use: clean bullet points, highlighted key metrics, and consistent summaries you can paste into reports or slides without editing.