Lattice Product Updates

Before, Lattice users could create a dynamic group based on manager, department, job function, user type, or custom multi-select/multi-choice field. Admins can now create groups using any field!

When a user downloads any CSV within a review cycle and selects “Include all fields,” exports will now include all custom attributes that the user has access to.

We’ve updated the way our filter bars look and feel to unify the experience and drive consistency while also helping to reduce clicks for more efficient filtering.

Managers can access comprehensive AI-generated summaries of all feedback their reports received over the past 3, 6, or 12 months. These summaries aim to assist managers in writing more informed reviews while reducing recency bias. Both features are available on an opt-in basis, requiring activation by the company's super admin.

Admins and engagement admins can now quickly analyze survey results with AI-generated insights. As soon as a survey concludes, these insights will help identify opportunities to enhance engagement levels within your company.

The Lattice user registration page now respects a company's field-level permission settings, ensuring hidden fields (e.g., job titles) do not appear for new hires to fill out. This update also includes slight UI tweaks for consistency with the rest of the product.

We've revamped the Analytics Explorer to enhance navigation and scalability and introduced new data options. As part of this release, controls have been shifted to the left-hand side of the chart for improved accessibility, users can now change the x-axis to any field, allowing for more customizable visualizations, and we’ve introduced a new look and feel for the Explorer.

We released several visual design, UX, and content updates to the roles and permissions pages, including new sidebar previews and interaction patterns on the custom role page and improved permissions names and descriptions.

Users can now bulk upload reviewees and assign reviewers via CSV during setup, view current and past talent review packets, and access past performance review packets in the employee context panel. Additionally, customers can add past talent review or performance review ratings to the calibration table for context and bulk apply calibration group settings.

Admins can now view results for Automated Rules Reviews without the need for manual exporting and reconciliation. This new experience offers distribution charts, heat maps, and average score views. Additionally, admins can break down and filter results by different attributes, including time, and can download results as PNG or exportable data.

Three job-related filter fields (function, level, type) added to performance review calibrations for more focused discussions.

A new tool to conduct, top-down assessments of employee performance, potential, risk and impact, with built-in calibration and adaptable templates.