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// Productivity

See where focus actually goes

Understand focus and app-use patterns across your teams. See where workdays become fragmented, then investigate what may be getting in the way.

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Understand focus and app-use patterns across your teams. See where workdays become fragmented, then investigate what may be getting in the way.

// What you get

Built around productivity monitoring

A transparent, role-aware score blends active time, app category, and focus continuity — not just raw minutes.

Per-person and per-team productivity scores
Deep-work vs shallow-work classification
Daily and weekly productivity trends
Feeds the org-wide Workforce Health Score
Fair, role-aware scoring you can defend
momentum · productivity · scoreLIVE
87%
Productivity
Active desk time7.6h / 9h
Productive time6.2h / 8h
Idle time1.1h
// Capabilities

Everything in one place

01
Productivity scoring

A transparent, role-aware score blends active time, app category, and focus continuity — not just raw minutes.

02
Deep vs shallow work

Long uninterrupted blocks in productive apps are scored as deep work; fragmented context-switching is flagged.

03
Trends over verdicts

Week-over-week movement matters more than any single day. Rising and falling lines catch problems early.

// Under the hood

How productivity monitoring actually works

Not marketing abstractions — the real screens, rules, and signals that make up this part of the platform.

// Deep dive · 01

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.

momentum · productivity · scoreLIVE
87%
Productivity
Active desk time7.6h / 9h
Productive time6.2h / 8h
Idle time1.1h
momentum · productivity · time summary
8.2h
tracked
Productive · 62%Non-productive · 21%Unmarked · 17%
// Deep dive · 02

Expected versus actual, on one chart

The Workforce Dashboard plots classified productive time recorded against the targets you configured, 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.

// Deep dive · 03

Find patterns worth a closer look

A change in a team's classified time may prompt a conversation. The score alone cannot explain its cause. Momentum surfaces trends and outliers side by side, along with the highest and lowest scoring departments, so managers get a ranked, evidence-backed starting point for conversations instead of a gut-feel guess.

momentum · productivity · weekly view
Productive hours this week0.0h avg
MonTueWedThuFri
momentum · productivity · trendLIVE
Expected
8.0h
Actual
7.3h
Strength
92%
Expected vs actual · 14 days
// Deep dive · 04

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.

// The workflow

From install to insight in four steps

01
Set your thresholds

Define target productive hours and productivity thresholds in General settings — the standard every score is measured against.

02
Classify your apps

Mark applications Productive, Non-Productive, or Unmarked in Global App Rules, with department-level overrides where roles differ.

03
Scores compute daily

Each person's active time and app mix roll into a productivity score percentage and a Productive / Non-Productive / Unmarked time breakdown.

04
Act on the trend

Review team trends, ask what changed, address a likely source of friction, and compare the next period.

// In practice

Where teams put it to work

Evidence-based one-on-ones

Walk into a review with the person's productivity score, trend, and time breakdown — a shared, factual starting point instead of impressions from the last stand-up.

Notice sustained changes in work patterns

Check in to understand the context before drawing conclusions. A change in classified time may signal overload, a tool issue, or shifting priorities — each requires a different response.

Prove a process change worked

Check whether classified focus time changed after a new tool or meeting policy; pair it with team feedback and delivery measures to understand the result.

// Questions

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.

// Explore more

Pairs well with

See how Momentum helps teams understand and protect focus

Book a 30-minute demo and watch Momentum map your real workday in under a week.

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