ThoughtSpot Cloud Documentation

February 2025 10.8.1.cl

You can now use Spotter to conversationally search your data in Slack. Follow-up questions remain within the same thread, preserving context. Pin a Worksheet or Model to a channel to ensure quick access to data from that Worksheet or Model. Spotter in Slack replaces the ThoughtSpot app in Slack. To enable this feature, contact ThoughtSpot Support.

For more information, see Spotter in Slack.

You can now use Spotter to conversationally search your data in Microsoft Teams by chatting directly with the Spotter app in a direct message. Use the Reset command to start a new conversation. To enable this feature, contact your administrator.

For more information, see Spotter in Microsoft Teams.

You can now give feedback on AI-generated Answers in Spotter without interrupting your searching conversation. When marking an Answer incorrect, you can now edit the underlying search, save, and review the search query tokens making up the Answer. If you mark an Answer correct, you can review and save the underlying search query tokens so Spotter remembers your choices in the future for similar questions.

For more information, see Coach Spotter within a conversation.

Now, Spotter’s capabilities have expanded to include natural language responses, allowing Spotter to gather information about your business questions before translating answers into visualizations.

You can ask Spotter questions about the data model, or ask Spotter to query the warehouse and get data. For more information, see Spotter data insights.

Spotter can also answer 'why' questions. For more information, see Spotter change analysis.

Spotter can take in broad topical questions, break them into smaller questions, and then generate multiple answers to answer your question. For more information, see Spotter deep analysis.

ThoughtSpot introduces shortcuts that allow users to select from existing verified data constructs, including columns, filter values, and search data keywords. These shortcuts allow users to mix natural language and deterministic inputs when using Spotter. For more information, see Spotter shortcuts. To enable this feature, contact ThoughtSpot Support.

You can now hover over Spotter tokens to gain more information about the attributes, measures, formulas, and filters used in each Answer.

For more information, see Spotter query tokens.

ThoughtSpot introduces Spotter, our new AI-powered, unified conversational search experience on mobile.

For more information about Spotter on ThoughtSpot mobile, see the ThoughtSpot mobile documentation site.

ThoughtSpot introduces Analyst Studio, the collaborative creator space where data teams can come together to transform raw data into actionable insights. Analyst Studio provides a complete, integrated experience that blends SQL, Python, R, and visual analysis.

Key highlights of Analyst Studio:

For more information, see Analyst Studio.

ThoughtSpot introduces a brand new pivot table chart. The new pivot table charts have the following features:

To enable this feature, contact your administrator.

For more information, see Pivot table charts.

ThoughtSpot’s Query sets include a graphical user interface or 'smart rules' to define grouping conditions. Conditions allow you to create groups using operators, to specify the parameters of the group.

For example, you could create a query set that list each customer, their sales dollar amount, and then add a formula that ranks the amount in descending order. You could then add groups to define Gold, Silver, and Bronze levels where Gold is ranked 1-10, Silver 11-50, and Bronze every other value.

To enable this feature, contact your administrator. For more information, see Query sets.

You can create column sets, which can be used to classify values in a list that you can then reuse across multiple analyses. A column set is a custom group of values from a single column. For example, you can use column sets to define regions with specific countries included or excluded. Column sets are community objects which remain when you navigate away from the Search Data page and can be used by any user with view access to the underlying Worksheet or Model. To enable this feature, contact ThoughtSpot Support.

We’ve introduced the Spotter Conversations Liveboard to give you real-time visibility into user interactions with Spotter. With this Liveboard, administrators can:

For more information, see Spotter Conversations Liveboard.

Models support the ability to define column name and description aliases based upon the selected system language. This allows for a single Model definition to persist across multiple languages, rather than the need to build separate Models for each language. The alias name and description are displayed across the platform based upon the user’s selected system language.

For more information, see Column aliases and localization.

You can now create your own charts in ThoughtSpot using Muze. A developer can create new chart types by writing the code in the code builder. To enable this feature, contact your ThoughtSpot administrator.

For more information, see Create charts.

You can now create connections from ThoughtSpot to ClickHouse. To enable this feature, contact your administrator. For more information, see ClickHouse.

You can now choose the LLM to power your Spotter experience. Your options are Azure OpenAI, Google Gemini, or Mistral. For more information, see Choose LLM for Spotter.

Bridge provides options to securely connect your data source with ThoughtSpot Cloud, as an alternative to PrivateLink, VPC Peering, or VPN tunnels. We added support for Bridge for the following connectors:

For more information, see Bridge connectivity for Cloud Data Warehouses and Databases.

For new features and enhancements introduced in this release of ThoughtSpot Embedded, see ThoughtSpot Developer Documentation.