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Reports now have a clear identity

Every report now has a header with an icon, title, description, and last-edited information, including the author’s avatar.Screenshot 2026 08 24 At 09 31 52You can choose an icon from a curated set, rename the report inline, and add a description to explain what the report is for. Changes are reflected in the sidebar immediately.This is currently available only on the new UI (v2).This makes reports easier to recognize, understand, and navigate as your workspace grows.
System-generated reports use the same header in read-only mode

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Advanced create user groups based on behavior

User groups can now be defined by what people actually do over time, using behavioral conditions, rolling windows, and nested AND/OR logic.ImageThis means groups can capture both lifecycle and engagement. You can define new users based on their first interaction, identify users who have gone quiet based on their last interaction, or separate frequent and deeply engaged users using conversation volume, activity, and session length.You can build a group from several types of user behavior:
  • First interaction: when a user first interacted.
  • Last interaction: when they most recently interacted
  • Interaction tag: whether their interactions match a specific tag.
  • Number of interactions: how many individual interactions they had.
  • Number of conversations: how many conversations they started or took part in.
  • Active periods: how consistently they were active across the selected time window.
  • Average session length: how long their sessions typically last.
Conditions can be combined with editable AND/OR logic and nested into groups, so a definition such as active frequently AND (many conversations OR long sessions) stays readable as it gets more specific.Behavioral conditions can use a rolling window, so rules can evaluate a user’s recent activity, such as the last 4, 8, or 12 weeks, instead of their entire history. As time moves forward, the window moves with it and group membership updates accordingly.A live preview translates the definition into plain language as you build it, and group membership is recalculated against the report’s selected time range.Once created, user groups can be used across Nebuly to filter and compare different parts of your audience.

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More control when creating taxonomy groups

Taxonomy groups now include an Advanced section with controls for classifier targeting and retroactive classification.ImageUnder Advanced, you can choose which part of the interaction the classifier should read:
  • User query: the message the user sends to your AI agent.
  • Agent answer: the response your AI agent sends to your user.
You can also apply a new taxonomy group retroactively. By default, new classifications apply going forward. Turn on Apply retroactively to classify interactions you already collected, either over the last 7 days or across all available history.The Description is now the instruction the classifier uses to decide how interactions should be grouped (before it was called steering). Notes are separate and optional, so you can leave context for your team without affecting classification.This makes the same taxonomy builder useful for understanding both sides of a conversation, while giving you explicit control over when historical data should be reprocessed.
For self-hosted deployments, taxonomy groups can be applied retroactively to up to 3 months of historical interactions. Reprocessing historical data uses additional compute, so processing time and cost depend on the number of interactions in the selected period.Contact Sales to learn more about enabling historical reprocessing for your deployment.
Global search is now a much faster way to navigate your workspace. From one place, you can search across reports and interactions from every organization and project you have access to — no need to switch projects first.You can also narrow down results to get exactly what you’re looking for:
  • Choose what to search: see everything, or focus specifically on Reports or Interactions.
  • Filter by time: limit interactions search to a specific time range, such as the last 30 days.
  • Filter by project: search across everything you can access or select the specific projects that matter.
  • Navigate with your keyboard: quickly open search, move through results, and jump to the right report or interaction without leaving the keyboard.
Your recently viewed reports are also available directly in search, making it quicker to jump back into the things you use most often.
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Other minor improvements

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Numbers that are easier to read

Large numbers are now formatted consistently across Nebuly using compact units like K, M, and B. So instead of 3,400,000, you’ll see 3.4M — making dashboards and reports much easier to scan.

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Smoother loading

We replaced disruptive loading states with skeleton previews across tables, reports, Explore, Live Activity, and Settings. Content now keeps its shape while data loads, reducing layout shifts and making the product feel faster.
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Filters restyling

We’ve refreshed the filters experience to make existing actions clearer and easier to understand.
  • Clearer AND conditions. When multiple filters are applied, the filter button now explicitly shows that they’re combined with an AND condition, making it immediately clear how the result set is being filtered.
  • Clearer save-for-everyone action. We’ve made the existing option to save reports filters for everyone more prominent, helping report creators define the default filtered view of a report.
  • Clearer sub-project creation. The option to create a new project from the current global filters is now easier to find and understand, helping project managers create focused sub-projects based on a specific subset of data.
The underlying filtering behavior hasn’t changed—this update makes the existing capabilities more discoverable and intuitive.
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Improved reports management

Every report action is now available directly from the sidebar. Each report row has a 3-dots menu that opens the full set of actions in place — you no longer have to open All reports just to rename or duplicate something.From the menu you can:
  • Edit the report name, description, and icon
  • Duplicate the report
  • Create a template from it
  • Move it between Favorites and Private
  • Delete it
The same menu appears on every row in All reports, so the actions are identical wherever you happen to be working.
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AI Proficiency (Beta)

You can now measure how effectively your team and employees work with AI, not just how often they use it.AI Proficiency analyzes how users interact with AI in real workflows and provides an AI Fluency Index (AIFI) from 0 to 100. This gives organizations a consistent way to understand AI proficiency across their workforce and track how it develops over time.With AI Proficiency, you can:
  • Measure AI fluency for individual users with the AIFI score.
  • Track proficiency over time to understand whether users are improving.
  • Compare proficiency across users and groups to identify differences between teams or populations.
  • Automatically segment users into Expert, Practitioner, Beginner, and Novice proficiency levels.
  • Identify up-skilling areas and users who may benefit from additional training or support.
  • Measure whether training, coaching, and AI adoption initiatives are actually improving how people work with AI.
AI Proficiency adds a new dimension to adoption analytics: instead of measuring only who is using AI, you can start measuring how well they are using it.
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AI Proficiency is currently in beta. Reach out to our sales team to enable it for your organization.

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Taxonomy Management (Beta)

You can now manage your taxonomies directly in Nebuly, giving you full control over how interactions and conversations are organized across the platform.Taxonomies are the foundation of Nebuly analytics: they turn unstructured AI conversations into meaningful business dimensions such as Topics, Business Risks, Failure Types, User Intent, Sentiment, and your own custom categories.With the new Taxonomy management experience, you can manage the full lifecycle of your taxonomy from one place.

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Manage all your taxonomies in one place

The new Taxonomy page brings together System, Tag, and Custom taxonomies, so you can browse and manage the groups and classes used across your analytics.You can:
  • Browse groups by type — System, Tag, or Custom.
  • Search across groups and classes to quickly find what you’re looking for.
  • See each group’s definition and classes from the same workspace.
  • Manage taxonomies generated by Nebuly alongside the ones defined by your organization.
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Create custom taxonomy groups

Create Custom groups for any business dimension you want to analyze, such as products, services, workflows, customer needs, or internal processes.You can create them in two ways:
  • Automatic class generation — provide a name, description, and guidelines for what the taxonomy should capture, and Nebuly discovers and generates the relevant classes from your data.
  • Manual class setup — create an empty group and define exactly which classes it should contain yourself.
This lets you choose between having Nebuly discover the structure in your conversations or defining the structure based on your existing business knowledge.
Screenshot 2026 08 08 At 08 23 55

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Add classes in different ways

You can manually add classes to your taxonomies using different classification methods depending on what you want to capture:
  • Natural-language description — describe what the class represents and Nebuly uses that definition to identify matching interactions.
  • Regex matching — define patterns that determine which interactions belong to the class.
  • Existing filters — use a combination of Nebuly filters to deterministically assign matching interactions to a class.
  • Customized classification — fine-tune how a class is evaluated by choosing exactly which part of the interaction Nebuly should analyze, such as the user query, agent answer, input, or output.
This gives you control over whether a class should be AI-classified or rule-based, depending on the use case.
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Control what gets classified

Advanced options let you decide which part of an interaction Nebuly should analyze when determining whether it belongs to a class.You can configure classification based on the:
  • User query: the message the user sends to your AI application
  • Agent answer: the response your AI application sends to your user
  • Input: the full input passed to your AI model, including system and context metadata
  • Output: the raw AI output before any post-processing
For example, you can create a taxonomy that focuses specifically on what users are asking for, or one that classifies the content produced by the AI.

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Apply taxonomy changes retroactively

New classes don’t have to apply only to future data.You can apply classes retroactively to existing interactions, allowing you to introduce a new business classification and use it to analyze historical activity as well.This makes it possible to evolve your taxonomy without losing the ability to compare or investigate past data.

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Keep your taxonomy up to date

As your products, users, and business evolve, you can continuously refine the taxonomy that powers your analytics.You can:
  • Update custom group and class definitions as the meaning or scope of a category changes.
  • Delete custom groups and classes you no longer need.
Custom taxonomies work alongside Nebuly’s built-in classifications and become available throughout reporting and analytics, so teams can analyze AI usage using their own products, workflows, services, and business terminology.Taxonomy is no longer just a classification layer generated behind the scenes. It’s now a fully manageable part of Nebuly that you can create, customize, refine, and evolve as your organization changes.

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Simpler taxonomy terminology

We’ve also simplified how we name the different layers of a taxonomy, making the parent-child relationship between them easier to understand.Previously, the top-level taxonomy dimension was called an Axis, while the levels underneath had different names for each sub-level as Categories, Actions, or Queries.We’ve standardized this terminology:
  • Axis → Group — the top-level dimension used to classify interactions.
  • Categories, Actions, Queries → Classes — previously, each taxonomy layer had a different name depending on its depth (L1 → Category, L2 → Action, L3 → Query). These are now consistently called Classes, regardless of their level in the taxonomy hierarchy.
This change doesn’t affect how your existing taxonomies work. It simply introduces a clearer and more consistent terminology across Nebuly, making it easier to understand how taxonomy levels relate to each other: Groups define the taxonomy, while Classes represent the different levels within it.
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Deep links to interactions and conversations are now easier to share with /go URLs. They send authenticated Nebuly users directly to the right interaction or conversation page and resolve the required project and organization context automatically, making them simpler to use from tools such as spreadsheets or internal workflows. See Deep-link to an interaction or conversation for setup details.
This is currently available only on the new UI (v2).

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Table charts: metrics limit raised to 10

Table charts previously capped metric columns at 4. You can now add up to 10 metrics to a single table, both in reports and in Explore mode.
This is currently available only on the new UI (v2).

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ROI

Measure the business impact of AI directly in Nebuly. The new ROI feature translates AI usage into hours and business value automatically. When enabled, Nebuly uses sensible defaults and thanks to a proprietary model we calculate each action time cost. You can customize at any time to make it fit your organization and needs.ROI reporting is now available in beta on both v1 and v2. Enable it from Settings > Feature Flags > ROI Analysis.
After enabling ROI, Nebuly’s model needs some time to compute time-per-action estimates for your workspace. Until then, the platform uses default values: 15 minutes per action and $75/hour employee cost. You can adjust the employee cost at any time from ROI Settings.

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ROI Report

The new ROI report surfaces the metrics that matter most:
  • Total hours saved
  • Hours saved per user
  • Hours saved per task
  • Tasks completed
  • Task completion rate
  • Total value saved
  • Value saved per task
ROI KPI cards showing total value saved, tasks completed, hours saved, and ROI efficiency

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ROI Settings

Configure how ROI is calculated for your organization. Set employee hourly cost, adjust time estimates for individual actions, and choose which unsuccessful conversations to exclude. Changes are reflected immediately across all ROI reports.
ROI settings panel with controls for hourly cost, time-per-action estimates, and failure conditions

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Nebuly 2.2.8 (Beta)

This release focuses on making reports faster to create, easier to organize, and simpler to explore across teams.

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New All reports workspace

We added a dedicated All reports page organized into three views: My favorites, Workspace, and Private. All reports — workspace and private — are pinned to the sidebar automatically. Star any report to add it to your Favorites section for quick access.
All reports workspace with My favorites, Workspace, and Private views, search, and sorting
The sidebar is now split into two tabs: Reports and Live Data.Under the Reports tab, reports are organized into three sections — Favorites (your starred shortcuts), Workspace (reports shared across the platform), and Private (reports only visible to you). The Reports Library at the bottom gives you a searchable view of all reports in one place.Switch to the Live Data tab to access Interactions, Conversations, Users, and User groups from one consolidated navigation surface.
Sidebar with Reports and Live Data tabs, and Favorites, Workspace, and Private sections under Reports

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New report creation wizard

We replaced the previous single-step creation modal with a multi-step wizard. To create a new report, hover onto one of the three sections and click on the add icon
Sidebar with Reports and Live Data tabs, and Favorites, Workspace, and Private sections under Reports
When creating a report you can:
  • Set visibility to Private (only you) or Workspace (everyone on the platform)
  • Check Save to favorites to pin the report under your Favorites section immediately
  • Start from an empty report or from a template
  • Finalize name and description
Multi-step report creation wizard with access, templates, and final details
Second step report creation wizard
New reports are added to your sidebar automatically. When a section has more than 10 reports, a More button appears at the bottom of the list — open it to show or hide reports in the sidebar, or reorder them.
More panel showing report list with toggle visibility and drag-to-reorder controls

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Faster chart-level actions in reports

Chart cards now expose hover-based quick actions for edit, data mode, export, duplicate, delete, and expand/compress chart size. Chart interactions are more direct, with fewer modal and menu hops.
Chart card hover quick actions for edit, data mode, export, duplicate, delete, and resize

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Improved table drilldown workflow

Datatable rows now support richer shortcut actions on hover to jump directly to drilldown, conversations, users, and interactions. This reduces clicks when moving from aggregate insights into underlying activity.
Datatable row shortcuts to drilldown, conversations, users, and interactions

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Explore Mode

Explore Mode is the fast path from a report chart to the raw evidence behind it.What you can do
  • Drill down from aggregated chart values into lower-level breakdowns.
  • Move directly from a row to related users, interactions, and conversations.
  • Keep slicing data with filters to answer follow-up questions without rebuilding charts.
How it works
  • Open it from chart quick actions (data/explore icon) or directly from report table rows.
  • It preserves report context (selected report/chart and active filters), so analysis continues from where you started.
  • As you drill deeper, row shortcuts let you jump immediately to the exact entity list you need to inspect.
Why it matters
  • It turns reports from static dashboards into interactive investigation workflows.
  • It helps teams move from “a metric changed” to “which users or interactions caused it” in fewer steps.
Explore Mode opened from a report chart with drilldown and row shortcuts

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Live Data

Live Data is the operational workspace that unifies previously separate navigation paths.Purpose
  • Merge the old Interactions, Conversations, Users, and User groups tabs into one coherent entry point.
  • Remove context switching between multiple pages when analyzing real activity.
What this enables
  • A single place to inspect platform activity from interaction, conversation, user, and user group perspectives.
  • Faster transitions between aggregate insights in reports and concrete activity records in Live Data.
Why this is important
  • It reduces navigation friction and duplicated filtering work.
  • It gives teams one consistent source-of-truth flow for day-to-day investigation and monitoring.
Live Data workspace combining interactions, conversations, users, and user groups views

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Guided adoption

We introduced a new product tour for the reports experience. The step-by-step walkthrough covers:
  • Reports and Live Data sidebar tabs
  • Favorites, Workspace, and Private report sections
  • Reports Library
  • Access control (Private vs Workspace visibility)
  • Analytics pages as reports, and report menu options
  • More button and panel for managing sidebar report lists
  • Drill down and Explore Mode
  • Chart quick actions (resize, edit, data mode)
  • Report creation wizard and templates
  • Live Data navigation
We also added a Welcome banner for first-time exposure and a persistent Help button to replay the tour at any time.
Guided product tour with welcome banner and persistent help button

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Control the number of bars in horizontal bar charts

Horizontal bar charts with a Group by now include a Number of bars field in the chart configuration panel. This lets you cap how many bars are rendered, which is especially useful when the chart is exported — a chart with dozens of bars can become unreadable as a PNG image.
Horizontal bar chart with many bars showing how the chart can become hard to read without a limit
The field appears in the left-hand panel once a Group by is selected. You can pick from the presets — No limit, 5, 10, or 15 — or type any custom number directly.
Chart configuration panel with the Number of bars field showing preset options and a custom value input
When you export the chart — either as a PNG image or as a CSV file — only the number of bars you configured will be included in the export.
Horizontal bar chart limited to 7 bars after setting the Number of bars field to 7
From the Live Activity interactions table, you can open the details of an interaction by clicking View details in the last column of a row.
Live Activity interactions table where you can click View details in the last column of a row
Once the details sidebar is open, you can click another message in the same conversation and the interaction details will load in place. This makes it easier to move through a conversation.
Opened interaction details sidebar where clicking another message loads that interaction's details

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Frontend V2 filters: restyled UI and new Contains operator

We restyled filters in Frontend V2 and introduced a new Contains operator for text-based matching.The V2 filter row is now organized in three pills:
  • Filter kind
  • Operator
  • Value
Empty V2 filter row with Select, Equals, and Select value pills
The first pills contains all filters grouped by kind, for example Interactions, Conversations, and Tags.
First pill open showing available filter kinds such as Avg. user sentiment and Business Risk
The second pill contains the three operators: Equals, Is not, and Contains
Second pill open showing `Equals`, `Is not`, and `Contains` operators
Here’s an example of the Avg. user sentiment values after selecting the Equals operator
Third pill open with selectable values for Avg. user sentiment
The new Contains operator accepts partial text and matches all values that include it.
Contains operator selected with empty input
Example: typing neg in Avg. user sentiment matches both Negative and Very negative.
Contains operator filled with neg to match Negative and Very negative values
You can still add multiple filters by clicking the New filter button.
Filter builder with one completed row and a new empty row added by New filter

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Gemini Enterprise integration

You can now sync Gemini Enterprise assistant interactions into Nebuly from Google Cloud.A self-hosted Python script reads end-user activity from Cloud Logging, enriches token counts from Cloud Trace, and ingests each prompt/response interaction into Nebuly. The sync is incremental and safe to re-run, supports an optional BigQuery log source, and offers date-range filtering and a dry-run preview before ingesting data.See the Gemini Enterprise integration guide to get started.
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Alerts: new metrics and interaction filters

Alerts have been expanded with new metrics and more granular filtering:
  • Interactions count and Users count are now available as alert metrics
  • Business risk variance has been removed
  • Alerts can now be configured with interaction filters, letting you control which interactions are included in alert evaluation

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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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Microsoft 365 Copilot integration

You can now sync Microsoft 365 Copilot Enterprise interactions from Microsoft Graph into Nebuly.A self-hosted Python script reads licensed users and their Copilot interactions, converts prompt/response pairs into Nebuly Interactions, and tracks synced coverage locally so the sync is incremental and safe to re-run. The integration supports date-range filtering and dry-run previews before ingesting data.See the Microsoft 365 Copilot integration guide to get started.
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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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Compare reports across time ranges

You can now use the comparison feature in reports to compare two distinct time ranges side by side. This makes it easier to measure changes across custom periods and spot differences in key metrics at a glance.To get started, open a report and click Compare in the top-right corner. In the comparison panel, you can now choose Time range as the comparison type.
Compare button in the top-right of a report with the new time-range comparison option
When time-range comparison is enabled, each chart shows the original data on the left and the compared time range on the right, making it easier to inspect differences chart by chart.
A report chart with the original time range on the left and the compared time range on the right

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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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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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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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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