Understand How Applications Are Actually Used
Automatically track application usage across your workforce and classify activity as productive, neutral, or distracted. Turn raw activity into actionable insights.
148
Apps Tracked
89%
Productive Time
1-Min
Precision
Real-Time
Classification
72%
Productive
18%
Neutral
10%
Distracted
148
Apps Used
VS Code
4h 21mChrome
2h 15mSlack
1h 12mFigma
58mGitHub Desktop
42mA full picture of application usage
Productive, neutral, and distracted time, plus the applications actually driving each one.
72%
Productive
18%
Neutral
10%
Distracted
148
Apps Used
VS Code
4h 21mChrome
2h 15mSlack
1h 12mFigma
58mGitHub Desktop
42mEvery application, understood
Six capabilities that turn raw application activity into workforce intelligence.
89%
Productive time
Productivity Classification
Every application is automatically classified as productive, neutral, or distracted — no manual tagging.
12
Categories
Application Categories
Apps are grouped into categories your team already thinks in — dev tools, comms, design, and more.
7-day
Rolling trend
Usage Trends
See adoption climb or drop over time — not just a single day's snapshot.
148
Apps tracked
Top Applications
A real leaderboard of what your team actually spends time in, every single day.
4
Departments
Team Benchmarks
Compare application usage across departments on the same fair metric.
Behavioral
Pattern detection
Work Pattern Detection
Reveal how application usage actually shapes a workday — not what anyone assumes it looks like.
Why app usage stays invisible
Every one of these is a Rymot default, not an add-on.
No visibility into application usage
Managers know output happened somewhere, but have no idea which tools actually did the work.
Productivity assumptions
Without data, "busy" and "productive" get treated as the same thing.
Tool adoption uncertainty
You bought the tool — nobody actually knows if the team is using it.
Shadow software
Unapproved apps spread quietly, with no visibility until there's a security question.
Inefficient workflows
Constant switching between tools quietly erodes output, and nobody can point to why.
How app tracking works
Four steps from an active window to a workforce-wide insight.
Detect active application
The Rymot agent identifies the foreground application the moment it becomes active.
Classify application category
Each app is categorized as productive, neutral, or distracted based on configurable rules.
Measure usage duration
Time in each application is measured precisely, down to the minute.
Generate workforce insights
Individual and team-level insights are ready continuously, not once a quarter.
Application Classification
Every application falls into a category — and every category is yours to configure.
Classifications are fully customizable per team or role — an engineer's terminal isn't judged the same way as a support agent's chat tool.
Top Applications
What your team actually spends time in — ranked, categorized, and trending.
| Application | Time | Category | Trend | Department |
|---|---|---|---|---|
| VS Code | 4h 21m | Productive | +8% | Engineering |
| Chrome | 2h 15m | Neutral | +2% | All Teams |
| Figma | 1h 48m | Productive | +14% | Design |
| Slack | 1h 12m | Neutral | -3% | All Teams |
| GitHub Desktop | 42m | Productive | +5% | Engineering |
| YouTube | 18m | Distracted | -6% | All Teams |
Every team, its own toolset
Application usage naturally differs by function — Rymot understands that, not just a single company-wide average.
Engineering
Development tooling
Design
Creative tooling
Marketing
Web & analytics
Support
Customer tooling
Adoption, over time
Daily, weekly, and monthly trends — plus which apps are emerging and which are fading out.
+4%
productive time
Daily Trend
Today's application mix compared to yesterday.
+7%
vs last week
Weekly Trend
This week's usage compared to last week.
148
apps tracked
Monthly Trend
Longer-term adoption and drop-off across the org.
3
this month
Emerging Apps
New tools gaining adoption across the team.
No hidden app monitoring
Managers get team-wide visibility. Employees always see their own application insights.
| Application | Time | Category | Trend | Department |
|---|---|---|---|---|
| VS Code | 4h 21m | Productive | +8% | Engineering |
| Chrome | 2h 15m | Neutral | +2% | All Teams |
| Figma | 1h 48m | Productive | +14% | Design |
| Slack | 1h 12m | Neutral | -3% | All Teams |
| GitHub Desktop | 42m | Productive | +5% | Engineering |
| YouTube | 18m | Distracted | -6% | All Teams |
72%
Productive
18%
Neutral
10%
Distracted
34
Apps Used
VS Code
4h 21mChrome
2h 15mSlack
1h 12mFigma
58mGitHub Desktop
42mFits Into Your Existing Workflow
Application signal flows in from the tools your team already uses every day.
Slack
Usage alerts
GitHub
Dev tool signal
Jira
Work context
Linear
Project sync
Google Workspace
Calendar sync
More Soon
Manual Assumptions vs Real Application Intelligence
The difference is night and day.
Frequently Asked Questions
Everything you need to know about app tracking in Rymot.
The Rymot agent detects the active application in real time and logs usage duration automatically — no manual timers, no self-reporting.
Yes. Productive, neutral, and distracted classifications are fully configurable per team or role, so an engineer's tools aren't judged the same way as a designer's.
Yes. Every employee can see their own application usage and classification — the exact same data visible to their manager.
No. Rymot tracks which application is active and for how long, not window content, keystrokes, or screen contents.
Yes. Any application that's actively used shows up in usage data automatically, including tools that were never formally approved.
Yes. Classification and usage measurement work identically for remote, hybrid, and in-office employees.
See What's Actually Driving Your Work
Application usage, classified and benchmarked automatically — no manual tagging, no guesswork.
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