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June 2026

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Gauge chart

You can now add a Gauge chart to analytics reports to display a single KPI on a color-coded semicircular scale, with a configurable visible range and threshold bands.
  • Choose Gauge from the chart type menu when editing an analytics chart.
  • Configure the visible range and colored threshold bands via Scale settings next to the chart type.
  • Drag thresholds or enter values in absolute or percentage mode; customize colors per band.
  • Ideal for metrics with target zones (e.g. error rate, bounce rate, custom percentage KPIs).
Gauge chart displaying a single KPI on a color-coded semicircular scale

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How to customize the scale

Open Scale to set the start and end values for the arc, then add up to six threshold stops to split the scale into colored bands. Drag threshold markers on the rail or type exact values, and switch between percentage and absolute value modes as needed.
Gauge scale settings popover for configuring visible range and threshold bands
Gauge shows where a value sits on your defined scale. Use Metric when you need comparison against the previous period.

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MCP Server: reports and charts

The Nebuly MCP Server can now create and update reports and charts.You can ask your assistant to:
  • Create and update reports, including their name, description, and favorite status
  • Retrieve the content of a report
  • Add analytics and table charts to a report
Get started at MCP Server.

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AI Fluency Index (AIFI)

The AI Fluency Index (AIFI) is now available as a 0-100 score that helps you measure how effectively people interact with AI in real workflows.AIFI is designed to make AI usage quality measurable and actionable so teams can:
  • Track prompting quality improvements over time
  • Identify users and groups that need enablement
  • Measure the impact of coaching and process changes
  • Report on proficiency, not just activity volume
AIFI score chart

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System cohorts

We introduced platform-managed system cohorts for AI proficiency segmentation. These cohorts are created and maintained automatically per project, so they stay consistent and always up to date.Proficiency levels:
  • Expert
  • Practitioner
  • Beginner
  • Novice
Cohort assignment is based on each user’s AIFI score:
  • 85 and above: Expert
  • 65 to 84: Practitioner
  • 40 to 64: Beginner
  • Below 40: Novice
These cohorts refresh automatically every day and are intended for reporting, segmentation, and training insights. They are system-governed and behave differently from regular user-created cohorts.
System cohorts

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Claude Compliance integration

You can now sync Claude conversation data from Anthropic’s Claude Compliance API directly into Nebuly.A self-hosted Python script pulls conversations from your Claude Enterprise organization and converts them into Nebuly Interactions, so Claude usage shows up alongside the rest of your analytics. The sync:
  • Pulls conversation data via the Claude Compliance API
  • Converts each user/assistant message pair into a Nebuly Interaction
  • Tracks already-synced data locally to avoid duplicates, so it is incremental and safe to re-run
  • Supports filtering by date range and a dry-run mode to preview before ingesting
See the Claude Compliance integration guide to get started.
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May 2026

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Alerts

You can now configure alerts directly from Settings > Alerts. Here you can see all the organization alerts:
Alerts overview page showing all configured organization alerts
There are two kinds of alerts.

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Threshold alerts

Trigger a notification when a metric crosses a value you define. The current available metrics are Error Rate, Business Risk and Topics.For each threshold alert you configure:
  • Condition: greater than / less than
  • Threshold: 1–100%
  • Time window: last 24 hours, 7 days, 30 days
  • Topics to monitor (for topic alerts)

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Recurring summaries

Receive a periodic digest of a project activity on a daily or weekly schedule, starting from a date and time you choose.
Form for editing a recurring summary alert
Alerts are delivered via Slack or Microsoft Teams webhooks. You can find out how to create webhooks on the official guides of slack and teams.

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RBAC improvements in Settings

We revamped the Members page in Settings to improve role and access management across large workspaces.What’s new:
  • Pagination support in the members table
  • Role-based filtering to quickly find users by permission level
  • Ability to update user roles directly from settings
  • Ability to update each user’s project access from settings
  • Ability to invite new users with a specific role from the invite flow
For self-hosted setups take a look at the relative documentation for more details.

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MCP Server (Beta)

The Nebuly MCP Server is now available in beta. It allows you to connect Claude and other MCP-compatible AI assistants directly to your Nebuly data, enabling natural language queries over your interactions, conversations, and analytics.Get started at MCP Server
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April 2026

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Manual labels for interactions and conversations

You can now manually label interactions and conversations directly in the UI. These labels can then be exported.Labels are project-specific, and interaction labels are separate from conversation labels, so the two do not share the same label assignments.There are two ways to add, remove, or create labels.The first is from the details view of an interaction or conversation: scroll down to More properties, click Add label, then type to search for an existing label or create a new one.
More properties section in the details view where you can add, remove, search, or create labels
The second is from the table view: select one or more interactions or conversations using the checkboxes, then click Add label and follow the same flow to add, remove, or create labels in bulk.
Table view with selected rows and the bulk Add label action for creating or assigning labels

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Conversation health

We introduced a new entity to track agent performance at the conversation level. Built on top of the existing error rate metric, Conversation Health classifies each conversation into one of three statuses:
  • Successful — No errors detected during the conversation
  • Problematic — One or more errors occurred within the conversation
  • Abandoned — The user dropped off following an agent error
Conversation Health is now available as a filter across the entire platform and as a group-by dimension in all charts.
Pie chart showing the conversation health distribution
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March 2026

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Interaction events on homepage charts

You can now view interaction events directly on homepage charts, just like in reports charts. This includes events already available in your project, and events can be added or removed directly from the chart.
Interaction events displayed in homepage charts
When you click a datapoint in the chart, a context menu opens with quick actions, including Add event or Remove event.
Chart context menu with Add event and Remove event actions
Selecting Add event opens a modal form where you can enter the event name and date.
Add event modal with name and date fields

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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 feature
To 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 toggle
For 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 chart
Group 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 Language
The button will open a dialog where users can chose the language to be used for all AI summaries in that project.
Summary Language
For 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