AI-powered workforce analytics

Workforce Analytics is designed for leaders, operations teams, and organizations that want a clear, scalable view of how time and meetings function across teams, departments, and the organization. It supports decisions around scheduling norms, meeting practices, and ways of working by revealing patterns in how calendars are structured at scale.

Traditional employee monitoring tools focus on individual activity signals—such as screen usage, app time, or behavior tracking—which often say little about how work is actually organized. Reclaim Workforce Analytics focuses on system-level calendar patterns, analyzing how meetings, focus time, and schedules are structured across teams to surface insights leaders can use to improve how work is coordinated.

Workforce Analytics helps improve productivity by making the conditions for productive work visible. By surfacing patterns in meeting load, calendar fragmentation, focus availability, and meeting-heavy days, it helps organizations identify scheduling practices that create unnecessary overhead or limit deep work. With this visibility, teams can adjust norms and ways of working to better support sustained progress.

Reclaim Workforce Analytics analyzes calendar-based signals to understand how time and meetings are structured across teams and cohorts. Key metrics include:

• Company, department, team, & individual reports
• Time tracking breakdown reports
• Deep work index report (against industry benchmarks)
• Focus Time reports
• Average focus session length report
• Calendar fragmentation tracking
• Time in meetings report
• Meeting type time analysis
• Average daily meeting load report
• Customizable historical & future time ranges
• Week-over-week trend analysis
• Customizable enterprise exports
• Free time, travel time, & break time tracking
• Advanced team filters via SCIM
• Productivity Initiative analysis (coming soon)
• Industry benchmark reports (coming soon)

These signals are used to identify patterns and trends in how work is organized—not to evaluate individual performance.

The Deep Work Index (DWI) is a group-level metric that reflects how supportive a team’s schedules are for focused work. It combines signals like meeting load, meeting-heavy days, focus block availability, and calendar fragmentation into a single score. DWI is useful for tracking focus health over time and comparing patterns across teams or cohorts.

Yes. Workforce Analytics is designed to support comparisons across teams, departments, roles, and other organizational cohorts. Advanced filters based on organizational data (via SCIM) are coming soon, making it easier to analyze patterns across the org without manual setup.

Yes. Workforce Analytics is built to operate at organizational scale, with pre-aggregated metrics, fast performance, and support for complex team structures. It’s designed to help leaders understand and improve how time is structured across large, distributed teams.