R437 - 2026-01-08

AI Detect: Enhanced Detection for Warm-up Period and Historical Data Limits: To reduce alert fatigue caused by insufficient data, detection now intelligently handles warm-up periods and historical limits. This results in more accurate anomaly detection and fewer false positives, allowing teams to focus on genuine data issues.

AI Detect: Missing Dates Handling Improvement: The algorithm now excludes the current analysis date when calculating missing data to prevent unnecessary alerts. This update provides cleaner, more reliable data quality insights by focusing only on completed time periods.

AI Detect: Historical Date Range Fix for Retention: We corrected the historical date range calculations specifically for retention reports to improve anomaly detection accuracy. Customer Success teams can now rely on these insights for more precise tracking of retention trends.

CRUD Capabilities Within the Tags View: Users can now create, rename, and manage tags directly within the Dictionary’s Tags view, eliminating the need to navigate through multiple screens. This streamlines data governance and allows you to organize your data taxonomy without leaving the page.

Tags Permission: Add 'Delete' Option to Role Permissions: We’ve added a specific role-based permission for tag deletion to give administrators finer control over data taxonomy. This protects critical tags from accidental removal while still empowering authorized team members to manage day-to-day needs.

Forge (AI Readiness): CSV Upload for Events and Fields: To save time on manual entry, you can now bulk upload metadata, tags, and descriptions via CSV files. This accelerates the preparation of your data dictionary and helps your team achieve AI-powered insights faster.

New Tag Management for Forge (AI Readiness): Tag management is now integrated directly into the Forge experience, allowing users to add or delete tags while enriching data for AI. This creates a seamless workflow that removes the friction of switching between different screens.

Versioning for Tags: We introduced full version history for tags to provide better audit trails and governance. Teams can now track who made changes and when, making it easier to understand the evolution of your taxonomy or roll back modifications.

Dictionary Export Support: Users can now export their complete data dictionary, including events and metadata, directly from the platform. This provides a simple way to back up configurations, create documentation, or share data structures with stakeholders.

MCP Usage & Instrumentation: New comprehensive instrumentation now tracks how the MCP server and its tools are being used. This data allows product teams to identify high-value features and prioritize future enhancements based on real-world adoption patterns.

Increased Chart Visual Panel Size: The chart visualization area has been expanded to provide more room for complex data analysis. This larger workspace makes it easier to identify patterns and conduct deep dives during customer reviews.

Managed View Setting Per Schema: Managed view settings can now be configured independently for each schema rather than globally. This gives individual teams the flexibility to set their own defaults while maintaining overall governance standards.

Terminology Update: 'Segment' to 'Cohort': To align with industry standards, we have renamed "Segments" to "Cohorts" and added automatic name pre-filling during the creation process. These updates reduce confusion for new users and streamline the overall cohort management workflow.

Collapsing Secondary Nav Enhancements: We improved the behavior of the secondary navigation to maximize screen real estate for reports and dashboards. The menu now stays out of the way during deep analysis while remaining easily accessible for navigation.

UI Refinements: Settings, Markup, and Full Screen: The interface has been cleaned up by consolidating full-screen functionality to dashboards and refining the settings page markup. These changes reduce visual clutter and help users stay focused on their primary tasks.

Visual Hierarchy: Next Steps & Typography Updates: Enhanced typography and a refined "Next Steps" layout better guide users through the platform’s recommended actions. This improved visual hierarchy makes navigation more intuitive and helps users work more efficiently.

Performance: Dictionary Events Page & DSL Compilation: We optimized page loading for large event libraries and implemented a compiler cache for DSL execution. These infrastructure updates significantly reduce wait times for both data management and complex report queries.