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March 2026

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Chart Targets

You can now overlay goal lines on line charts using the new Target section in the chart sidebar. Up to 5 targets can be added simultaneously, each displayed with a distinct color matching its line on the chart.Two target types are supported:
  • Growth target — projects a trend line starting from a chosen date, based on a growth rate (absolute or percentage) applied per a configurable time granularity (minute / hour / day / week / month / year).
  • Fixed target — draws a constant horizontal reference line at a specified value across the entire chart.
Chart with multiple targets overlaid — overview of the featureTo add a target, open the sidebar and click the Add target button in the Target section. A popover will appear where you can configure the target type and its parameters.For growth targets, choose a start date using the calendar picker, set the growth rate, the desired granularity, and select whether it is absolute or percentage-based.Growth target configuration — start date picker, rate input, and absolute/percentage toggleFor fixed targets, simply enter the constant value to display as a horizontal reference line.Fixed target configuration — constant value input

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Group by time in table charts

You can now aggregate table data by time granularity, enabling time-series data to be visualized in tabular format. This allows you to track how multiple variables change over time across different time intervals:
  • Month-over-month
  • Week-over-week
  • Day-over-day
To get started, navigate to your table settings and select the desired time granularity from the aggregation options.Group by time - supported granularities for table chartGroup by time in table chart
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February 2026

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Input and Output Token Variables

You can now track input and output token consumption directly in the report section and interaction table. Add the “Input Token” and “Output Token” variables to your charts to monitor LLM trace data. Note: these values come from what’s passed through the Interaction API, so if they aren’t provided there, they’ll appear as 0.

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Output Length Metric to Chart Variables

A new chart variable is now available to measure output length in characters, allowing users to track how verbose model responses are over time.

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New Failure Category: Thumbs Down

A new failure category has been added that automatically groups all interactions receiving a thumbs down into a dedicated category for easier analysis and reporting.

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Custom Variables for Analytics and Table Charts

Users can now define custom variables when creating or editing a chart. Custom variables support mathematical formulas, allowing customers to express calculations that were not possible with built-in variables. Formulas can reference both built-in and custom variables, and filters can be applied as usual, enabling businesses to track their metrics that matter most to their usage.

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AI Summary available in multiple Languages

AI summaries can be generated in different languages now. In order to change the language you need to open the project settings and click on “Summary Language”.Summary LanguageThe button will open a dialog where users can chose the language to be used for all AI summaries in that project.Summary LanguageFor example, after changing the language to Italian, the summary for a topic called “Weather in Venice” looks like this:Summary Language

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Total Users variable

Added new variable Total Users which computes the total number of users without applying the time range / filters. The variable is usable inside custom variables, but only tags are available as breakdown. If this variable is used among another group ( ex. topic ) the visualized value will always be total users for that project.Total Users
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January 2026

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Nebuly-Langfuse native integration

We’ve launched a native integration that lets teams ingest Langfuse observability data directly into Nebuly for user analytics. ‍What’s new:
  • Full integration option: Nebuly automatically pulls traces from your Langfuse account daily (interval configurable). API keys are securely stored in encrypted vaults.
  • Local integration option: Use open-source Python scripts to extract and transform data in your own infrastructure. Full control over data residency and enrichment.
  • Seamless data flow: No changes to your existing Langfuse instrumentation. Traces flow automatically to Nebuly for user intent, sentiment, and adoption analysis.
  • Tag-based segmentation: Use Langfuse tags to add user context (segment, geography, cohort, role). Analyze adoption by any dimension that matters.
‍Get started at Langfuse integration