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
84%
Productivity · score
4h 52m
Focus Time · today
7
Deep Work · sessions
12%
Distraction · rate
Priya N. · Product
Sarah K. · Engineering
Tom W. · Design
Alex M. · Marketing
Managers get department summaries, a productivity trend, and a time-split breakdown in one view — not a spreadsheet full of raw activity logs.
Productivity Trend
7-day avg — 82.3%
Time Split
Six capabilities that turn raw activity into a workforce intelligence platform.
Real-time
Continuous scoring
Measures productive time automatically from real activity — no self-reporting, no manual timers.
7
sessions today
Detects deep work sessions and protects them from being buried under context-switching.
Early
Warning system
Identifies unhealthy work patterns before they become a resignation — overtime, after-hours, decline.
2 employees flagged
After-hours work rising
4
departments tracked
Compares departments on the same fair metrics — no more relying on manager assumptions.
Behavioral
Trend detection
Reveals behavioral trends — when your team is sharpest, and when attention naturally drops off.
7-day
Rolling window
Long-term performance tracking that turns single-day snapshots into a real trend line.
Every one of these is a Rymot default, not an add-on.
Managers see output eventually, but have no idea how the work actually happened day to day.
By the time burnout is visible, it usually shows up as a resignation, not a fixable pattern.
Notifications, meetings, and context switches quietly erode deep work without anyone measuring it.
Without data, performance conversations default to gut feel — and gut feel is often wrong.
Individual output is visible; team-level trends and benchmarks almost never are.
Four steps from raw activity to a recommendation a manager can act on.
The Rymot agent logs app, URL, and idle activity in the background — no manual input, ever.
Every app and site is categorized by role and team, so raw activity becomes meaningful signal.
Scores, focus sessions, burnout signals, and benchmarks are computed continuously, not once a quarter.
Managers get coaching-ready insights and export-ready reports — not just a wall of raw numbers.
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
ProductiveProductivity Impact
+18% focus
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
Department-level productivity, benchmarked on the same fair metric.
These signals exist to protect your team, not to police them — every employee sees the same signals about themselves.
3
employees flagged
Flags employees whose hours climb well past their scheduled shift, before it becomes chronic.
18/day
avg app switches
High app-switching frequency is one of the earliest measurable signs of overload.
34%
of team, this week
Tracks activity outside scheduled hours — a leading indicator of unsustainable workload.
±23%
variance across team
Surfaces when work is unevenly distributed across a team, before it causes burnout.
Weekly reports, department summaries, focus-time trends, and benchmark comparisons — ready to export.
Jun 23 – Jun 27, 2025 · Department summary
| Employee | Dept | Score | Focus Time | vs Last Wk |
|---|---|---|---|---|
| Sarah Jenkins | Engineering | 94% | 5h 12m | +4% |
| Marcus Thorne | Design | 88% | 4h 30m | +2% |
| Elena Rodriguez | Marketing | 79% | 3h 48m | -3% |
| David Chen | Operations | 91% | 4h 55m | +6% |
| Priya Nair | Product | 96% | 5h 24m | +8% |
Benchmark-ready — department summaries and focus-time trends export alongside individual scores.
Productivity signal flows in from the tools your team already uses every day.
Slack
Focus-time alerts
GitHub
Commit activity signal
GitLab
Pipeline & MR activity
Jira
Issue & sprint context
Linear
Project & issue sync
Google Workspace
Calendar & Drive sync
More Soon
Insights instead of raw activity data.
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.
Productivity scores, focus analytics, and burnout signals — live within days, not quarters.
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