Rymot
Workforce Intelligence

Understand How Work Actually Happens

Transform activity data into actionable productivity insights. Identify focus time, deep work patterns, burnout risks, and performance trends across your organization.

84%

Avg Productivity

4.8h

Daily Focus Time

+21%

Efficiency Gain

Real-Time

Insights

app.rymot.io/analytics
LIVE

84%

Productivity · score

4h 52m

Focus Time · today

7

Deep Work · sessions

12%

Distraction · rate

Team Productivity RankingThis week
1

Priya N. · Product

96%
2

Sarah K. · Engineering

91%
3

Tom W. · Design

87%
4

Alex M. · Marketing

74%
Command Center

One dashboard, the whole picture

Managers get department summaries, a productivity trend, and a time-split breakdown in one view — not a spreadsheet full of raw activity logs.

  • Average productivity score, focus time, and deep work sessions
  • Department-level summaries with week-over-week trend
  • Distraction rate broken out from real focus time
  • Team productivity ranking, updated continuously
Command Center — Productivity
LIVE

Department Summary

This Week
Engineering
91%
Design
85%
Marketing
79%
Operations
88%

Productivity Trend

7-day avg — 82.3%

Time Split

Deep work
Neutral
Distracting
Idle
Productivity Intelligence

Beyond tracking — actual intelligence

Six capabilities that turn raw activity into a workforce intelligence platform.

Real-time

Continuous scoring

Productivity Scoring

Measures productive time automatically from real activity — no self-reporting, no manual timers.

84

7

sessions today

Focus Tracking

Detects deep work sessions and protects them from being buried under context-switching.

Early

Warning system

Burnout Signals

Identifies unhealthy work patterns before they become a resignation — overtime, after-hours, decline.

2 employees flagged

After-hours work rising

4

departments tracked

Team Benchmarks

Compares departments on the same fair metrics — no more relying on manager assumptions.

Behavioral

Trend detection

Work Patterns

Reveals behavioral trends — when your team is sharpest, and when attention naturally drops off.

7-day

Rolling window

Weekly Analytics

Long-term performance tracking that turns single-day snapshots into a real trend line.

The Problem

Why teams fly blind on productivity

Every one of these is a Rymot default, not an add-on.

No visibility into work patterns

Managers see output eventually, but have no idea how the work actually happened day to day.

Rymot: Real-time behavioral insight

Burnout goes unnoticed

By the time burnout is visible, it usually shows up as a resignation, not a fixable pattern.

Rymot: Early burnout signals

Focus time gets fragmented

Notifications, meetings, and context switches quietly erode deep work without anyone measuring it.

Rymot: Deep work session tracking

Managers rely on assumptions

Without data, performance conversations default to gut feel — and gut feel is often wrong.

Rymot: Evidence-based coaching

Teams lack performance insights

Individual output is visible; team-level trends and benchmarks almost never are.

Rymot: Department benchmarking
Automatic by design

How productivity analytics works

Four steps from raw activity to a recommendation a manager can act on.

01

Capture activity automatically

The Rymot agent logs app, URL, and idle activity in the background — no manual input, ever.

02

Classify productive vs non-productive

Every app and site is categorized by role and team, so raw activity becomes meaningful signal.

03

Generate productivity insights

Scores, focus sessions, burnout signals, and benchmarks are computed continuously, not once a quarter.

04

Provide recommendations and reporting

Managers get coaching-ready insights and export-ready reports — not just a wall of raw numbers.

Activity Timeline

A whole workday, in one view

Hover any block to see duration, category, and productivity impact — the exact rhythm of a real workday.

VS Code

09:00

Duration

1h 20m

Category

Productive

Productivity Impact

+18% focus

Focus & Deep Work

Deep work, measured — not assumed

Every uninterrupted stretch of real focus, and every interruption that broke it.

Focus Time

4h 52m

Best day this week

Longest Session

1h 42m

Uninterrupted deep work

Best Focus Window

9–11 AM

Peak concentration hours

Interruptions

6

Context switches today

Today's focus sessions

Focus session
Interruption
Benchmarks

Team Intelligence

Department-level productivity, benchmarked on the same fair metric.

Engineering
91%+3%
Design
85%+1%
Marketing
79%-2%
Operations
88%+4%
Workforce Wellbeing, Not Surveillance

Catch burnout before it costs you someone

These signals exist to protect your team, not to police them — every employee sees the same signals about themselves.

3

employees flagged

Excessive Overtime

Flags employees whose hours climb well past their scheduled shift, before it becomes chronic.

18/day

avg app switches

Context Switching

High app-switching frequency is one of the earliest measurable signs of overload.

VS
Sl
Ch
Fi
Gh

34%

of team, this week

After-Hours Work

Tracks activity outside scheduled hours — a leading indicator of unsustainable workload.

34%

±23%

variance across team

Workload Imbalance

Surfaces when work is unevenly distributed across a team, before it causes burnout.

Export Ready

Productivity Reports

Weekly reports, department summaries, focus-time trends, and benchmark comparisons — ready to export.

Weekly Productivity Report

Jun 23 – Jun 27, 2025 · Department summary

EmployeeDeptScoreFocus Timevs Last Wk
Sarah JenkinsEngineering94%5h 12m+4%
Marcus ThorneDesign88%4h 30m+2%
Elena RodriguezMarketing79%3h 48m-3%
David ChenOperations91%4h 55m+6%
Priya NairProduct96%5h 24m+8%

Benchmark-ready — department summaries and focus-time trends export alongside individual scores.

Ecosystem

Fits Into Your Existing Workflow

Productivity signal flows in from the tools your team already uses every day.

Slack

Slack

Focus-time alerts

GitHub

GitHub

Commit activity signal

GitLab

GitLab

Pipeline & MR activity

Jira

Jira

Issue & sprint context

Linear

Linear

Project & issue sync

Google Workspace

Google Workspace

Calendar & Drive sync

+

More Soon

Traditional Monitoring vs Productivity Intelligence

Insights instead of raw activity data.

Traditional Monitoring
Rymot Intelligence
Raw activity logs
Actionable productivity insights
Screenshots to review manually
Automatic scoring & benchmarks
No burnout visibility
Early burnout signal detection
Guesswork performance reviews
Evidence-based coaching data
One-off activity snapshots
Continuous trend analytics
Surveillance-first framing
Transparency-first framing

Frequently Asked Questions

Everything you need to know about productivity analytics in Rymot.

Rymot scores productivity from real activity — app and URL usage classified as productive, neutral, or distracting for each role — combined with focus-session length and consistency. It's continuous, not a single end-of-day number.

Yes. Every employee has access to their own productivity score, focus time, and trend history — the same data their manager sees. Transparency is a core Rymot principle.

Yes. Scoring is based on activity and focus patterns, not location or office presence, so it works identically for remote, hybrid, and in-office teams.

Yes. Productivity categories (productive/neutral/distracting) are configurable per team or role, so an engineer's tooling isn't scored the same way as a designer's.

Rymot identifies sustained, uninterrupted activity in a single application or task as a focus session, and flags context switches and idle gaps as interruptions.

Yes — weekly reports, department summaries, and benchmark comparisons export to CSV, Excel, or PDF.

14 days free

See What Your Team's Data Actually Reveals

Productivity scores, focus analytics, and burnout signals — live within days, not quarters.

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