The Flow overview page serves as the central entry point for managing all onboarding processes.

Its design is based on the familiar structure used for applicant management. This facilitates navigation, ensures consistency, and supports rapid onboarding.

Switch between active, completed, or archived flows with a single click—keeping you on top of ongoing and past onboardings at all times.

You can see at a glance whether an employee is currently in the preboarding, onboarding, or offboarding phase.

All individuals or groups taking on tasks within a specific flow are clearly displayed here:

This makes it immediately apparent who is involved in which onboarding process.

Shows the start date of each flow - useful for planning, prioritizing, and identifying overdue tasks.

As an alternative to the table view, a tile view is now available—particularly well-suited for large screens.

Key information for each flow is displayed in a compact, clear format, making it ideal for those who prefer working visually.

The search and filter functions have been completely overhauled; they are now faster and more intuitive, and support multiple selections—allowing you, for example, to view flows from several companies simultaneously.

This ensures you always maintain a clear overview, even within complex structures and across multiple teams, without needing to switch views.

Filter more easily: Click on a day in the table to apply it directly as a filter, which is ideal for quickly narrowing down by topic, team or category.

The new table offers flexible customization options:

These features make it easier to work with numerous flows and provide a clearer overview of day-to-day operations.

The first column remains visible when scrolling to the right—this way, you maintain the connection to the specific person or flow, even with very wide tables.

By default, the flow overview appears as a structured table, similar to the applicant management view. This makes it faster to capture, sort, and manage onboarding processes, even with large volumes of data.