Decisions backed by evidence
Weekly heatmaps, capacity views, and exportable reports that turn months of activity into headcount, tooling, and workload decisions you can defend.
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
Spot your team's real peak hours, cold afternoons, and the meetings quietly destroying focus.
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: your configured target productive hours plotted against delivered reality, 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.
Outliers surfaced automatically
Top performers, underperformers, highest and lowest departments, most and least productive applications — the extremes of the organisation are computed continuously and presented as ranked lists. Instead of hunting through rows for the story, managers start from the outliers and work inward. Recognition and intervention both land faster, and on firmer ground.
Idle time as a first-class metric
Most tools bury idle time; Momentum charts it. Department time distribution includes the idle share explicitly, because unexplained idle hours are where capacity quietly leaks. A department with strong headline hours but a swelling idle wedge has a different problem from one that is simply understaffed — and only a chart that shows idle honestly can tell you which you have.
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.