Changelog
Follow up on the latest improvements and updates.
RSS
improved
User Interface
Updated workspace
We've updated the workspace to make it easier to stay focused on your work and access the tools you need.
- Floating toolbar: A new floating toolbar above your on-page selection provides quick access to Properties, visualization options, and more.
- Toolbar access to panels: Tool panels can now be opened and closed directly from the toolbar, giving quicker access to key functionality and making it easier to free up screen space when needed.
- Consistent panel layout: Panels now follow a consistent layout, with navigation on the left and configuration tools on the right.
- Classic workspace: If you prefer the previous layout, you can revert to the classic workspace from your profile menu for a limited period.
The Data Preparation Agent now identifies categorical age variables and automatically hides empty age categories at the extremes of the range.
If your survey targets adults and the "Under 18" band has no respondents, it won't appear in your tables and charts. The same applies at the top of the range (e.g., "70+" in a working-age study). Empty categories in the middle of the range are left visible.
You can toggle this step off before running the agent if needed.
The Data Preparation Agent now automatically flags respondents who have given a high proportion of 'low information' responses (e.g., 'Don't know', 'Refused', 'Not applicable', and 'None'). Respondents who selected low information responses more than 25% of the time receive one flag; those who selected low information responses more than 35% of the time receive two flags; those who selected low information responses more than 45% of the time receive three flags.
These flags help to identify lazy respondents and bots in your data set, and are taken into consideration when the agent deletes poor quality cases from your data set.
new
AI
View Mode Chat Panel
Published Displayr documents now include an optional chat panel where viewers can ask questions about the document and its insights in plain language.
Instead of reading through every page to find what they need, viewers can type a question and get an answer with links to the relevant pages. Document creators enable the chat panel when publishing. For best results, outputs should be given meaningful names (e.g., "NPS.by.Age" rather than "viz.4") so the chat can find and interpret them accurately.
improved
AI
User Interface
Default page master layouts are now protected
Two improvements for users who customize default page masters:
- Protected page master layouts:Default slots on Displayr's standard page masters can no longer be deleted. This means that automated features like Add commentary won't break your custom designs. If a default page master has already been customized, you'll see a warning with a Fix button that restores it, while retaining your customized page master.
- Layout change notifications:When Add commentary or Add auto-updating commentary changes your page's page master, you'll now see a notification letting you know.
improved
Variables
Binary-Multi Variable Sets can be treated as waves in stat tests
The "Treat as wave in statistical tests" feature now supports Binary-Multi variable sets.
You can now toggle on wave treatment for these variable sets and get "compare to previous period" significance testing, just like Nominal, Ordinal, and Date/Time variables. The Data Preparation Agent will also automatically detect Binary-Multi wave variables and toggle the setting on.
This is particularly useful for tracking data that uses rolling averages, where each respondent belongs to multiple overlapping time periods (e.g., "Jan–Mar 2026", "Feb–Apr 2026", "Mar–May 2026").
You can now control who can view and edit folders — and everything inside them — across both Documents and the Cloud Drive.
Company administrators can set permissions at the folder level, so there's no need to manage access on every individual document. Assign user groups to specific folders, and any documents or files created inside will automatically inherit those permissions.
This makes it practical for larger organisations to protect confidential work without the overhead of managing permissions one document at a time.
Now you can treat Nominal and Ordinal variables as waves in statistical tests.
- Select your wave variable set in the Data Sources tree
- Toggle on “Treat as wave in statistical tests” in the Object Inspector.
- The variable set will be set to ‘compare against previous period’ in tests of statistical significance in the same way as Date/Time variables are.
Related features:
- The Data Preparation Agent will identify variable sets that should be treated as waves and automatically toggle the "Treat as wave in statistical tests" setting on.
- The "Treat as wave in statistical tests" setting will be automatically triggered if you try to convert a Nominal or Ordinal variable set to Date/Time and it can’t be converted.
- Similar functionality coming soon to Binary - Multi variable sets (useful if you report rolling averages)
improved
AI
Data Preparation Agent improvements
We've added new steps to the Data Preparation Agent:
- Convert dates saved as Text/Nominal/Ordinal variables to Date/Time variable sets:Identifies dates stored in your data set as Text, Nominal or Ordinal variables and converts them to Date/Time structure.
- Flag respondents who completed the survey in an abnormally short time:Flags respondents who completed the survey unusually quickly. These flags help to identify lazy respondents and bots in your data set, and are (optionally) taken into consideration when the agent deletes poor quality cases from your data set.
You can now preview AI-generated commentary before adding it to your document. Hover over the ‘Add Commentary’ button on the navigational toolbar to see a preview of the commentary. Add it to your page with one click, or modify your analysis goals to refine the result.
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