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Filters

Nebuly’s filters let you narrow down conversational datasets to focus on the users, conversations, and interactions that matter most to your analysis. You can segment data using any available field, including automatically extracted insights such as topics, intents, sentiment, as well as custom tags, user groups, and more.

Global vs local filters

There are two levels of filtering in Nebuly:

Global filters

They live in the top bar and apply across the whole platform. They stay active as you move between reports, so every view reflects the same selection until you change it. This is the right level when you are investigating one segment across reports and Live Data at the same time. To open the Global filters panel, click the Global filters button in the top bar. From there, you can build one or more filter conditions.
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Local filters

They apply to a single chart or list view only. Use them when you want to narrow one chart or table without changing what you see everywhere else.
Global filters

Global filters persist across every view in your session

How Filters Work

All views in Nebuly can be filtered by any attribute on an interaction or conversation. This includes built-in fields (topics, intents, sentiment, error type, business risks, user feedback) and every custom tag you sent at ingestion. Nebuly supports 100+ filter options. Common examples include Topic (the main theme of the interaction), Action (the task the user is trying to do), Sentiment, Language, User (a specific user ID), and any custom tag you sent at ingestion. For the definitions behind these fields, see Nebuly Data Types.
Filtering reports and lists

Filtering reports and lists by any interaction or conversation attribute

Saved Filters

Often-used combinations of filters can be saved for reuse across future sessions. To save a combination, click Save filters in the filter selection panel and give the saved filter a descriptive name. You can then apply the saved filter at any time from the Saved filters section of the filter selection panel. The Saved filters list is shared across all users in the project, which makes it a lightweight way to standardize how your team slices data.
Saved filters

Saved filters, shared across the project

Favorites

To make your most-used filtering fields easier to find, mark them as favorites by clicking the star next to a field. Your starred fields then appear at the top of the filter selection panel under Favorites. This list is individual to each user: each teammate maintains their own favorites without affecting anyone else.
Favorite filter fields

Favorite filter fields, individual to each user

Creating a sub-project from global filters

Global filters can also be used to create sub-projects. Once you’ve configured the filters that define the subset of data you want (for example, Country = Germany or Department = Sales), click Save as project. Nebuly creates a new sub-project that permanently applies those filters while inheriting the data from its parent project. This is useful for creating dedicated workspaces for regions, departments, or business units without duplicating data. To learn more, see Managing Organizations & Projects.

Time range

The time range selector controls the period included in your analysis. It is available throughout the platform and can be applied to:
  • Reports & Exploration mode, where it updates the metrics and charts displayed in the report.
  • Interactions, where it limits the table to interactions captured during the selected period.
  • Conversations, where it limits the table to conversations within the selected period.
You can choose from predefined ranges such as Today, Yesterday, 7D, 30D, 3M, 6M, and 12M, or select a custom date range. The selected time range remains active as you navigate between supported views, allowing you to analyze the same period consistently across Reports and Live Data.