26.6.0.cl Release Notes

Spotter 3 is now generally available:

You can now upload CSV files directly to Spotter, enabling ad-hoc data analysis without requiring a pre-built data model. This feature makes it faster to explore and get insights from external data files directly in the Spotter interface. Simply click the + icon next to the Model selection button in the search bar and select the file you plan to upload. Note that the files you upload remain only in your conversation, and are not stored in ThoughtSpot. Files persist in your conversation for up to an hour. The size limit is 5 mb per file, 10 files per message.

You can now stop in-progress answer generation in Spotter, giving greater control over query execution and improving the experience when you need to revise a query. For more information, see Getting started with Spotter.

We have made the following enhancements to SpotterViz:

You can now make the following types of changes by prompting SpotterViz:

You can now access anything in ThoughtSpot from a single keystroke. The command palette (Cmd + K on Mac / Ctrl + K on Windows and Linux) is a global command center that unifies navigation, search, and actions across the ThoughtSpot platform. Instead of switching between menus, list pages, and contextual controls, you can find content, trigger workflows, and navigate to any part of the product — all from one place.

You can now configure dynamic date type parameters when creating parameters, meaning that you can specify a dynamic rule like "start of current month", which updates with the current date rather than remaining static (for example, "June 14th"). For more information, see Creating parameters.

Models are now fully discoverable through ThoughtSpot’s unified search. Whether you’re using the global search bar or the search results page, Models appear alongside Answers and Liveboards — making it faster and easier to find the data foundation your analyses are built on.

The centralized filter window is now generally available (GA). This feature introduces a single, unified interface for managing all Liveboard filters. Users can use this to view, update, and apply multiple filters at once, rather than interacting with each filter individually. This feature supports bulk filter changes, clear and reset actions, and provides a streamlined workflow for complex analyses. This improves efficiency, especially when working with Liveboards containing many filters or when users need to adjust several dimensions simultaneously. For more information, see Centralized filter window.

The option to send Liveboard schedule emails immediately is now generally available (GA). Unlike recurring schedules, you can now trigger immediate delivery for a one-time email or send an existing schedule instantly without altering its cadence.

We are deprecating the process of adding business terms directly from a conversation. Starting in 26.8.0.cl, the only way to add a business term to coaching will be from the Business terms tab in the Memory sources page.

Administrators and Org administrators can now configure instructions at the agent level to customize how Spotter responds to queries across your organization. Spotter instructions let you tailor Spotter’s behavior for specific use cases, ensuring more consistent and relevant AI-generated answers. You can use Spotter instructions to specify output defaults like format and currency, tell Spotter how to handle ambiguous queries, and set guardrails for sensitive data. For example, you can say, “If the user doesn’t specify a breakdown, default to department, region, and location. Always compare year-over-year.”

You can now use SpotterModel to generate comprehensive, optimized Models ready to use in your analysis. SpotterModel automates table selection, join creation, and column selection, while allowing you to review and customize each step. To enable this feature, contact your administrator.

Because Asana has sunset its previous MCP server, we have removed Asana as a default connector in Spotter. You can still register Asana as a connector, but an Asana admin must first create and configure an OAuth app in Asana.

You can now reference the Status field in the Memory sources page to see whether your memory has been generated. ThoughtSpot also notifies you once the Liveboard memory is fully generated. To enable memory from Liveboards and conversations, contact your administrator. For more information, see Manage memory.

Snowflake Semantic Views integration is now available in ThoughtSpot. This integration allows you to connect directly to Semantic Views defined in Snowflake and use them to automatically create Models in ThoughtSpot. You can import Semantic Views, including metrics, formulas, and column metadata, and immediately use them for building Liveboards, running queries, and analytics. The integration supports both direct connection to Snowflake and YAML file uploads for flexibility. Administrators can manage and resync Semantic Views as needed to reflect changes made in Snowflake. To enable this feature, contact ThoughtSpot support. For more information see, Integrate with Snowflake Semantic Views.

You can now connect to Iomete cloud data warehouses. To enable this feature, contact your administrator. For more information, see Connect to Iomete.

To save your changes without proceeding, click Save and exit while creating or updating a connection. ThoughtSpot will save your configuration and return you to the Connections page. You can return later to resume the process right where you left off.

For information about the new features and enhancements introduced in this release, refer to ThoughtSpot Developer Documentation.

For information about the new features and enhancements introduced in the latest release, refer to Analyst Studio release notes.

For information about the new features and enhancements introduced in the latest release, refer to ThoughtSpot Mobile Documentation.