The Teamflect Admin Report has been completely revamped, giving admins a clearer and more intuitive way to understand how Teamflect is being used across their organization.

The updated report brings key insights together in a redesigned experience, making it easier to move from high-level adoption trends to the details behind them.

We’ve also redesigned the report navigation and individual pages so you can find the insights you need more quickly, without digging through multiple views.

Whether you're preparing an adoption review, evaluating the success of a performance process, or simply checking how Teamflect is being used, the revamped Admin Report gives you a more complete picture of activity across your organization.

The goal is simple: less time finding and interpreting data, and more time using it to make informed decisions.

The revamped Admin Report is now available to Teamflect admins at https://admin.teamflect.com.

We're introducing the Teamflect MCP integration in beta, making it possible to connect Teamflect with supported AI assistants and interact with your Teamflect workspace directly through natural language.

Instead of navigating between different modules to find information or complete routine actions, you can simply ask your AI assistant.

Once connected, MCP allows your AI assistant to securely interact with Teamflect on your behalf.

You can use it to:

For example, you could ask:

The AI assistant can then use Teamflect MCP to retrieve the relevant information or perform the supported action.

Connecting an AI assistant give it unrestricted access to your organization's Teamflect data.

MCP operates within the permissions of the authenticated Teamflect user. What you can access and do through your AI assistant is governed by what you're already authorized to access and do in Teamflect.

The Teamflect MCP integration is currently in beta. We're continuing to expand its capabilities and learn from real-world usage as customers begin incorporating Teamflect into their AI workflows.

Follow our guide to enable and configure MCP for your organization.

Follow our setup guide to connect Teamflect to a supported AI assistant and start exploring what you can do.

Calibration is much easier when you can see the full picture.

With the new , calibrators can now review and calibrate results across an entire review cycle from one centralized view - instead of opening and working through reviews individually.

See review results side by side in a single table, including final scores, review criteria, 9-box placements, and other results configured in your review template.

For reviews waiting for calibration, calibrators can , while still seeing the original pre-calibrated values for comparison.

This makes it easier to spot inconsistencies, compare results across employees, and make informed calibration decisions across the cycle.

Use the score distribution and 9-box views to understand how employees are positioned across the cycle before and during calibration.

Click any score range or 9-box placement to filter the review table to the relevant employees, helping you move from the bigger picture to individual results quickly.

Once you're ready, select multiple reviews and rather than processing each review separately.

You can also search, sort, and filter the review table to focus on specific employees, reviewers, scores, statuses, or other review criteria.

Select multiple reviews and handle common tasks in bulk, including:

With search, sorting, and filtering built into the review table, you can quickly find the reviews that need attention and act on them without working through the cycle one review at a time.

The result is a faster, more centralized way to manage performance review cycles, especially when you're working with hundreds or thousands of reviews.

Review Insights just got a major upgrade, giving admins and managers a much clearer view of performance across teams and entire review cycles.

Previously, Review Insights focused on data associated with a single reviewer. With the enhanced Insights experience, admins can now analyze finalized review data across the entire review cycle and drill down into specific teams or managers when needed.

When accessing a cycle from All Reviews, admins can now start with an organization-wide view and explore results across everyone included in the cycle.

You can:

The new hierarchical reviewer panel makes it easier to move between different parts of your organization.

Select one or multiple managers to instantly analyze the combined results of their teams. Your charts and breakdowns automatically update based on your selection, making it much easier to identify differences and patterns across teams.

Managers accessing Insights from Reviews About My Team will continue to see data relevant to their own reporting hierarchy.

They can navigate through managers within their hierarchy and select a reviewer to analyze the finalized review results for that person's team.

With these improvements, Review Insights moves beyond individual reviewer data and gives you a much more flexible way to understand performance trends, compare teams, and investigate review results across your organization—all from one place.

Admins now have more control over who can edit goals by setting editing permissions separately for each goal type. With the new setting, you can choose whether goal owners, their direct managers, both, or only admins can edit goals of that type. These permissions also determine who can delete or duplicate a goal.

This gives organizations more flexibility over different goal-setting workflows. For example, you can allow employees to own and manage their goals while preventing managers from changing them, allow managers to maintain goals while keeping them locked for employees, or limit editing to admins only.

We’re also adding an optional notification for manager edits. When enabled, goal owners can be notified when a manager edits a goal they own, helping employees stay informed when changes are made on their behalf. This notification is turned off by default and can be managed through the notification settings in the Admin Center.

We’ve improved performance across several high-volume areas of the Admin Center, making it faster and easier to work with large numbers of review, survey, and feedback records.

Review cycles, survey cycles, 360-degree feedback cycles, templates, participants, and related cycle details now load in smaller batches instead of pulling the full list at once. This reduces load times and makes navigating larger datasets smoother, while keeping the existing sorting and filtering experience intact.

These improvements are especially helpful for organizations managing a large number of cycles, templates, reviews, surveys, or feedback participants, where Admin Center pages can now respond more quickly as your data grows.

We’ve redesigned the Teamflect AI experience to make it easier for admins to manage the AI Agent and for users to understand what it can help them with.

Admins now have a dedicated AI Agent page where they can enable the Agent, manage who has access, and view its available skills.

The Agent is also managed separately from other Teamflect AI settings, giving admins more granular control over which AI capabilities are available in their organization.

The first built-in skills, Policy Assistant and Teamflect Helper, are now clearly surfaced as skills. Policy Assistant uses your organization’s AI Knowledge Base to help answer questions based on your internal resources, while Teamflect Helper helps users with Teamflect-related questions. Users can also view the skills available to them directly from the AI Agent.

We’ve also brought conversations across Teamflect closer together. Messages users send to the AI Agent through Microsoft Teams will now appear in their chat history in the Teamflect app, making it easier to continue and reference AI conversations across both experiences.

Admins can now choose exactly which invited users should receive a Teamflect sign-up reminder, instead of automatically sending reminders to everyone who has not signed up yet.

When sending a reminder from the Not Signed Up section, you can either select from all invited users or filter the recipient list using user attributes such as department, location, country, job title, manager, and other available attributes.

You can also review the resulting employee list and manually add or remove individual users before sending.

This makes phased rollouts much easier to manage, especially when different teams, locations, or employee groups are being invited to Teamflect at different times.

Teamflect AI can now proactively help managers identify team members who deserve recognition, making it easier to acknowledge great work without relying on managers to remember to check or initiate the process themselves.

When enabled for your organization, the Recognition Assistant periodically reaches out to eligible managers in Microsoft Teams and through the in-app bell icon with personalized recognition recommendations.

Teamflect AI reviews recent performance and achievement signals, considers recognition history, and helps managers identify team members who may be due for recognition.

Admins can enable the Recognition Assistant at the organization level and configure when these proactive recommendations are delivered. The default frequency is once every three months.

Managers with at least one direct report are automatically eligible, so there is no need to enroll managers individually.

Your Home page now gives you a more accurate view of the review actions that need your attention.

Pending review items are organized based on your role in each review, making it easier to see:

We’ve also improved how these actions work for managers, additional reviewers, calibrators, collaborators, and admins.

For example, admins can now see reviews waiting for calibration directly on Home, with Global Admins seeing applicable reviews across the organization and Scoped Admins seeing those within their scope.

Calibration and collaboration responsibilities are also surfaced separately where appropriate, so it’s clearer why a review needs your attention.

Selecting a pending review action takes you directly to the review when there is only one item waiting. When there are multiple items, you’ll be taken to the relevant Reviews page where you can work through them. Signature actions also respect the configured signing order, so a review only appears as pending when it is actually your turn to sign.