Understand the patterns shaping your teams' workday
Explore team-level work patterns, focus trends, and app use over time. Find changes worth investigating and bring better context to workload and tooling decisions.
Analytics is where patterns become strategy. Heatmaps reveal when teams do their best thinking, capacity views show who is over- and under-loaded, and reports give you the evidence to make the expensive calls — without guessing.
Built around workforce analytics
See when classified work tends to happen and where the day becomes fragmented.
Everything in one place
How workforce analytics actually works
Not marketing abstractions — the real screens, rules, and signals that make up this part of the platform.
From signals to department truth
Millions of agent signals reduce to the comparisons that drive decisions. Department time distribution shows how each team's hours divide across productive, non-productive, and idle time; department comparison puts teams side by side on the same axes. When leadership asks which org is carrying the quarter and which is drowning, the answer is a chart, not a debate.
Trends that hold you to your own targets
The expected-versus-actual trend is the backbone of Momentum analytics: compare classified productive time with the targets your organization configured, day after day. It converts abstract goals into a visible line the whole leadership team reads the same way — and because the target comes from your own General settings, nobody can argue with the yardstick.
Explore meaningful changes in team trends
Changes in team patterns — changes in productivity, focus, application use — are worth investigating. Instead of hunting through rows for the story, managers start from what changed and work inward to understand why. The conversation starts from context, not from a ranking.
See idle time separately
Idle time appears explicitly in department time distribution and in individual timelines. Device inactivity may include calls, thinking, breaks, or work away from the device. Seeing it separately lets you interpret it in context instead of averaging it away.
From install to insight in four steps
Where teams put it to work
Workforce analytics, answered
What analytics does Momentum provide out of the box?+
Expected-versus-actual productive-hours trends, department time distribution including idle, department comparison, top and bottom performers and departments, and most / least productive apps.
Is idle time really reported separately?+
Yes. Idle time appears explicitly in department time distribution and in individual timelines, so capacity leaks are visible rather than averaged away.
Who can access team-level analytics?+
Managers see analytics for their own team, and each employee sees only their own activity — team-level numbers stay with the people responsible for them.
Where do the expected values come from?+
From your own configuration — the target productive hours and expected desk hours admins set in General settings define the baseline for every trend.