See where focus actually goes
Momentum scores focus, separates deep work from shallow work, and surfaces the trend — one pillar of the workforce-intelligence picture, alongside attendance, security, and AI adoption.
Hours worked says nothing about whether the work was focused. Our engine classifies activity into deep, collaborative, and administrative work, assigns a fair productivity score, and tracks the trend so you can coach with evidence instead of instinct — feeding straight into the org-wide Organization Health Score alongside attendance, security, and AI adoption.
Built around productivity monitoring
A transparent, role-aware score blends active time, app category, and focus continuity — not just raw minutes.
Everything in one place
How productivity monitoring actually works
Not marketing abstractions — the real screens, rules, and signals that make up this part of the platform.
A score with visible arithmetic
Every person gets a productivity score percentage built from their actual day: active desk time, the apps they worked in, and how that time classifies against your Productive, Non-Productive, and Unmarked rules. Because admins set the productivity thresholds in General settings, the score reflects your organisation's own standard — and anyone questioning a number can trace it straight back to the underlying time breakdown.
Expected versus actual, on one chart
The Workforce Dashboard plots expected productive hours against what teams actually delivered, day after day. That single trend line answers the question leaders actually ask — are we ahead or behind of our own targets — without anyone stitching spreadsheets together. When the lines diverge, you can drill into departments and individuals to find exactly where the gap opened.
Top performers and the people who need help
Momentum surfaces top performers and underperformers side by side, along with the highest and lowest scoring departments. That framing matters: the same data that celebrates your strongest people also flags who may be blocked, overloaded, or disengaged. Managers get a ranked, evidence-backed starting point for coaching conversations instead of a gut-feel guess.
Team-wide signal, not one-day verdicts
Averages across the organisation — average active desk time, average productive time, organisation strength — put every individual number in context. A 68% score means something different on a team averaging 60% than one averaging 85%. Momentum always shows the trend and the cohort together, so a single slow Tuesday never gets mistaken for a performance problem.
From install to insight in four steps
Where teams put it to work
Productivity monitoring, answered
How is the productivity score calculated?+
It blends active desk time with how that time classifies under your app rules — Productive, Non-Productive, or Unmarked — measured against the target productive hours and thresholds admins configure.
Can we tune what counts as productive?+
Yes. Global App Rules define the default classification for every app, and department overrides let the same app count differently for different teams.
Who can see productivity scores?+
Managers see their own team's analytics, and each employee sees their own activity and score — nothing is broadcast to peers.
Does one bad day tank someone's standing?+
No. The dashboard emphasises trends — expected versus actual over time, plus organisation averages for context — so a single quiet day reads as noise, not a verdict.