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// Apps & websites

App & website usage, classified your way

Window-level detail on the apps and sites where time is spent — grouped by category and scored against productivity rules you control.

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Every organisation defines productive differently. Momentum captures the active application and window, then lets you label apps and domains as productive, unproductive, or neutral — so the same minute of Figma counts the way it should for a designer and a developer.

Unlimited
Custom app rules
Window
Level of detail
6+
Default categories
// What you get

Built around app & url tracking

Not just the app, but the active window and document — the difference between a code editor and a games launcher.

Top apps and websites by time
Custom productive / unproductive / neutral rules
Per-team classification overrides
Category breakdowns and roll-ups
Window-level activity detail
momentum · apps & websites · time summary
8.2h
tracked
Productive · 62%Non-productive · 21%Unmarked · 17%
// Capabilities

Everything in one place

01
Window-level detail

Not just the app, but the active window and document — the difference between a code editor and a games launcher.

02
Your own rules

Classify any app or domain as productive, unproductive, or neutral, per team, in a settings screen built for it.

03
Category roll-ups

Time grouped by category — development, design, comms, admin, browsing — so patterns jump out instantly.

// Under the hood

How app & url tracking actually works

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

// Deep dive · 01

Three labels, complete control

Every application resolves to one of three classifications — Productive, Non-Productive, or Unmarked — under rules you write yourself in Global App Rules. Nothing is judged by a vendor's opinion of what work looks like. The Unmarked bucket also acts as a live to-do list: newly seen apps land there until someone decides how they should count, so classifications stay deliberate.

momentum · apps & websites · time summary
8.2h
tracked
Productive · 62%Non-productive · 21%Unmarked · 17%
momentum · apps & websites · weekly view
Productive hours this week0.0h avg
MonTueWedThuFri
// Deep dive · 02

Department overrides, because context is everything

A social media dashboard is a distraction for a developer and the whole job for a marketer. Department-level app rules override the global defaults, so the same application scores differently team by team. Set the global baseline once, then let each department's rules capture the reality of how that team actually works — no compromise classification required.

// Deep dive · 03

The full picture, including offline apps

App Usage in the Timeline shows exactly where each hour went — and it includes offline applications, not just the browser. Desktop IDEs, design tools, spreadsheets, and terminal sessions all appear with their captured time, so knowledge work that never touches a URL is measured just as faithfully as web work. The Time Summary pie rolls it all up into Productive, Non-Productive, and Unmarked at a glance.

momentum · apps & websites · trendLIVE
Expected
8.0h
Actual
7.3h
Strength
92%
Expected vs actual · 14 days
momentum · apps & websites · timelineLIVE
Workday timeline0.0h active
9:00■ active■ idle18:00
Productive 5.9hNon-productive 0.9hUnmarked 0.6h
// Deep dive · 04

From app list to organisational insight

Classification is only the start. The Workforce Dashboard aggregates app usage into most-productive and least-productive apps across the organisation, so you can see which tools actually carry the work and which quietly drain it. Paired with department time distribution, these views turn thousands of individual app sessions into a clear statement about where attention goes.

// The workflow

From install to insight in four steps

01
Agents observe usage

Desktop agents capture which applications are used and for how long — including offline apps — across every approved machine.

02
Set global rules

In Settings, classify each app as Productive, Non-Productive, or Unmarked. New apps arrive Unmarked, waiting for a deliberate decision.

03
Override per department

Where teams differ, department-level rules override the global default so the same app can count differently for design and engineering.

04
Read the roll-ups

Time Summary pies, App Usage tables, and the dashboard's most / least productive apps turn classified minutes into organisational insight.

// In practice

Where teams put it to work

Fair scoring across mixed roles

Classify once globally, then override per department — so designers, developers, and support agents are all scored against rules that match their actual toolkits.

Audit the tool stack

The most and least productive apps views reveal which licensed tools carry real work and which see minutes a month — evidence for the next renewal conversation.

Tame the Unmarked backlog

Newly seen apps land in Unmarked rather than silently skewing scores. Review the bucket weekly and every classification in your tenant stays intentional.

// Questions

App & URL tracking, answered

What are the classification categories?+

Three: Productive, Non-Productive, and Unmarked. Apps stay Unmarked until an admin classifies them, and Unmarked time is reported separately so it never distorts scores.

Can the same app count differently for different teams?+

Yes. Department-level app rules override Global App Rules, so a communications tool can be Productive for support and Non-Productive for engineering.

Does Momentum track offline applications?+

Yes. App Usage includes offline apps — IDEs, design tools, spreadsheets — with their captured time, alongside everything else on the machine.

Who manages app rules?+

Admins manage Global App Rules and department overrides in Settings for their tenant. Managers can view team analytics but cannot change classification rules.

// Explore more

Pairs well with

See app & url tracking on your own teams

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

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