SYDNEY, Australia — Displayr has extended its chat functionality to allow users to carry out specific analysis tasks through natural language. Users can now type a request into Displayr’s chat panel and have it acted on directly inside their document, without navigating menus or settings.
Supported tasks include creating tables (summary, crosstab, banner, and raw data), applying filters to individual tables, pages, or entire reports, building charts, and running analytical methods including: ANOVA, k-means clustering, principal component analysis, and table of means, with more to be added. The range of supported techniques continues to expand with each release. After completing a request, Displayr describes what it did and navigates to the result.
The capability works alongside Displayr’s recently launched Research Agent, which automates the production of a full research report from raw survey data.
“A lot of research work is repetitive and procedural,” said Tim Bock, Founder and CEO of Displayr.
“This new task-level functionality is for when a researcher wants to make a targeted change to a document – adding a specific table, adjusting a filter, or running a particular analysis – rather than generating a complete report.”
All outputs produced through chat are standard Displayr objects – editable, reproducible, and connected to the underlying data.
