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Momentum — workflow intelligence
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// The platform

Understand what shapes your teams' digital workday

Momentum connects work patterns, device health, and AI adoption so you can spot friction, support teams, and make better decisions about the digital employee experience.

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Work Patterns & Focus
Device Health
AI Adoption
Workforce Operations

Protect focus

Identify context-switching patterns and help teams defend deep-work hours.

Reduce device friction

Surface device issues and security risks before they slow teams down.

Support AI adoption

Track adoption trends and help your team maximize new tool investments.

// How it works

From desktop to decision in four steps

Connect signals. Find patterns. Decide what to improve.

01
Agent

A lightweight desktop agent on Windows, macOS, and Linux registers each machine — Pending until approved, then part of the fleet.

02
Capture

Start and finish times, active vs idle periods, app usage including offline apps, and interaction signals — not keystroke content — recorded automatically.

03
Classify

Every minute is scored against your Productive / Non-Productive / Unmarked app rules, with department-level overrides where roles differ.

04
Insight

Timelines, productivity scores, expected-vs-actual trends, and department comparisons land on the dashboard — live, for the whole organisation.

// Real-time

See team patterns as they emerge

Live team trends and device issues surface instantly — who's focused, who's stretched, and which machines need attention. The master user grid shows every member with their current status, agent health, and working hours across time zones.

Live team status and focus patterns
Device health and agent status per person
Working-hours calculation across time zones
momentum · team overviewLIVE
Abhishek Shukla
Deep focus · Figma
94
Abhilekh Choudhary
In a meeting
71
Rohan Verma
Idle · 18m
52
momentum · timelineLIVE
Today · workday strip0.0h active
9:00■ active■ idle18:00
Productive 6.1hNon-productive 0.8hUnmarked 0.3h
// Timeline

Every workday, drawn as a strip you can read in seconds

The Timeline renders each day as green active and red idle blocks, backed by a Time Summary that splits hours into Productive, Non-Productive, and Unmarked — per your own rules. App Usage accounts for every application, offline apps included.

Green-active / red-idle day strip
Productive / Non-Productive / Unmarked time summary with pie
App usage detail including offline apps
// Scoring

A Workforce Health Score with visible arithmetic

Each person's Activity view shows start and finish time, active desk time against the expected hours you configured, and a productivity score built from their classified time. Roll it up with attendance, security posture, and AI adoption, and you get one Workforce Health Score — a number anyone can trace back to its inputs.

Workforce Health Score across 4 pillars
Productivity score % per person and team
Active desk time vs expected desk hours
Thresholds and targets you configure in General settings
momentum · activityLIVE
87%
Workforce health
Active desk time7.6h / 9h
Productive time6.2h / 8h
Idle time1.1h
momentum · time summary
8.2h
tracked
Productive · 62%Non-productive · 21%Unmarked · 17%
// App rules

Productive is whatever you say it is

Global App Rules classify every application as Productive, Non-Productive, or Unmarked — and department overrides let the same app count differently for design, engineering, and support. Time distribution follows your rules, not a vendor's opinion.

Global Productive / Non-Productive / Unmarked rules
Department-level rule overrides
Most and least productive apps, organisation-wide
// Input signal

Interaction, counted — not guessed

Mouse clicks and keystrokes are captured and attributed per application, viewable as table, bar, or pie. Three hours of heavy keystrokes in an editor is a different day from three hours of window-open silence — input statistics tell them apart.

Mouse clicks and keystrokes per day
Per-app input distribution
Table, bar-chart, and pie views
momentum · input statisticsLIVE
Keystrokes
0
Mouse clicks
0
Input by application
IDEBrowserDocsChatOther
momentum · machinesLIVE
WIN-DESK-014
Approved · agent 3.4.1
MBP-DESIGN-07
Approved · agent 3.4.1
LNX-BUILD-02
Pending approval
Agent CPU · fleet avg1.6%
Agent memory · fleet avg118 MB
// Fleet

A machine fleet you run from the dashboard

Every device that installs the agent waits in the Machines queue — Pending, Approved, or Rejected — until you decide. Uninstall agents remotely, disable agent login, read Daemon and Upgrade logs, and watch per-device CPU and memory in Resource Usage.

Pending / Approved / Rejected registration gate
Remote uninstall and agent-login control
Info / Error logs and per-device resource usage
// Analytics

Spot friction before it burns your teams

Support's after-hours activity is rising; review workload before changing targets. Department trends and expected-vs-actual hours show which teams have slack and which are stretched. Idle time, deep work, and app distribution combine into one view — weeks before you lose a person.

Trend-driven insights with concrete examples
Department comparison and time distribution incl. idle
Expected-vs-actual productive-hours against your targets
momentum · weekly heatmap
Weekly activity heatmap
MonLessMoreFri
Expected vs actual · 14 days
0
Desktop platforms — Windows, macOS, Linux
0%
Automatic capture — no timers, no punch-ins
0
Core modules, from Timeline to Dashboard
0%
Max agent CPU, verified in Resource Usage
// Built on trust

Built on privacy. Designed for trust.

Aggregate-first reporting, configurable collection, audit trails, and regional data residency — SOC 2 Type II, ISO 27001, and GDPR aligned.

SOC 2 TYPE IIISO 27001GDPR ALIGNEDDATA RESIDENCY
// Questions

The platform, answered

Do all features come with every plan?+

The full capability set — time and activity capture, timelines, app rules, machines, and the Workforce Dashboard — ships in the core platform. Multi-tenant management is aimed at organisations running several separate entities or clients.

How quickly do we see data after installing agents?+

The same day. Once a machine is approved (or auto-approved, if you enable it in General settings), its activity starts flowing into timelines and the dashboard immediately.

Who decides what counts as productive?+

You do. Admins classify apps as Productive, Non-Productive, or Unmarked in Global App Rules, and department-level overrides let the same app count differently per team.

Can employees see their own data?+

Yes. Every User can open their own Timeline, Activity view, and productivity score — the same record managers see, which is what keeps the system fair.

Does Momentum record screenshots?+

No — not by default. Screenshots are off by default and optional; most customers never enable them. Momentum's Timeline is built from classified activity, not screen captures.

Does Momentum record keystroke content?+

No. Momentum counts keystrokes and mouse clicks as an aggregate activity signal — numbers only. It never records which keys were pressed or any typed content.

Can employees see their own productivity data?+

Yes. Every employee can open their own Timeline, Activity view, and productivity score — the same record their manager sees. That self-visibility is what keeps a rollout fair and trusted.

What operating systems does Momentum support?+

Windows, macOS, and Linux, with a native lightweight desktop agent for each. Agents deploy silently through your existing MDM — Jamf, Intune, Kandji, or similar.

Can productivity rules differ by department?+

Yes. Global App Rules set a tenant-wide default, and each Department can override it — the same app can be Productive for Engineering and Non-Productive for Support, based on how that team actually works.

How does Momentum calculate productivity?+

Against your own configuration — workday hours, expected desk hours, and target productive hours you set in General settings. The score compares classified active time in Productive apps to that target, not a black-box AI judgment.

Can Momentum manage remote employees?+

Yes. The agent works identically on remote, hybrid, and in-office machines — capturing locally and syncing when connectivity returns — so distributed teams show up in the same Timeline and Workforce Dashboard as everyone else.

Can Momentum integrate with our existing tools?+

Yes. Momentum integrates with tools like Jira, GitHub, GitLab, and Slack to correlate activity with real engineering and delivery output — see the Integrations page for the full list.

Ready to see it on your own teams?

See how Momentum helps you identify friction across teams. Book a demo and get live in under a week.

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