Focus Score and Work Patterns
A single focus score, the deep-work and interruption figures behind it, and the weekly rhythm that explains both.
These images are illustrations of the concept, not screenshots of the actual product.
Overview
Focus Score and Work Patterns is the interpretive layer of TimeCampus. Where the analytics views report what happened, this concept answers two harder questions: how good was the quality of the time, and what shape does the working week keep returning to. The score is deliberately a composite — one number on the front, with the measurements that produced it sitting immediately beside it so the figure can be argued with rather than simply believed.
The problem is that overload and fragmentation are invisible until they are expensive. Hours worked look healthy right up to the week they stop being healthy, because the damaging pattern is not volume but its distribution: deep work squeezed into the edges of the day, attention moving between contexts a dozen times, interruptions arriving faster than any block can survive, and work creeping across evenings and weekends until the rhythm itself has changed. None of that shows up in a total, and none of it should require surveillance to see.
The illustrated experience splits into two screens. The focus score view centers a ring gauge showing the current score out of one hundred, with a seven-day trend beneath it labeled day by day so a dip can be placed, and a column of supporting cards — deep work hours, context switches per day, and interruptions per hour, the last drawn in a warning tone. The work patterns view widens the frame: summary figures for productive time, focus sessions and deep work; a burnout signal card that names sustained overload and offers a concrete suggestion such as protecting a morning block, presented as an action row rather than a verdict; a weekly heatmap of productive hours with days as rows and hours of the day as columns; and an energy-and-mood trend chart plotting the two series across the week.
Within the wider product these signals are personal first. They read from the same captured record as the timeline and the focus sessions, they are designed to encourage a change in how the next week is scheduled, and the team-facing views are aggregate by intention — the design's stance is that a burnout signal belongs to the person it describes.
What this concept shows
- A ring gauge presenting the current focus score out of one hundred as the page's headline figure
- A seven-day focus trend chart with a labeled value per day and the selected day highlighted
- Supporting metric cards for deep work hours, context switches per day and interruptions per hour
- An interruption card drawn in a warning tone so a deteriorating signal reads at a glance
- A work-patterns summary band with productive time, focus sessions and deep-work figures
- A burnout signal card that names sustained overload and offers a specific suggestion as a selectable action row
- A weekly productive-hours heatmap with days as rows and hours from early morning to late evening as columns
- An energy-and-mood trend chart plotting two labeled series across the days of the week
How it works
- Open the focus score view and read the current score as the single headline figure.
- Follow the seven-day trend beneath it to place the score in context and spot the day a dip began.
- Check the supporting cards — deep work, context switches and interruptions — to see which measurement moved the score.
- Switch to the work patterns view for the weekly picture, starting with the summary figures.
- Read the burnout signal if one is raised, and open its suggestion to act on the recommendation.
- Study the hourly heatmap to find the times of day that reliably hold productive work, and compare them with the energy and mood trends.
- Reschedule the coming week around the hours the patterns show as strongest.
Who it's for
- Individual contributors protecting deep-work time
- Knowledge workers recovering from a fragmented or overloaded period
- Team leads who want aggregate workload signals without monitoring individuals
- People operations and wellbeing leads tracking sustainable pace
- Managers planning meeting-free windows around real focus hours
Illustrations
2 illustrations of this concept. Select one to view it full size.
Focus Score and Trend
This illustration centers a large ring gauge showing a current focus score out of one hundred, captioned as the current focus score. Directly below, a seven-day trend chart plots the score across weekday labels, prints the value at each point and highlights one day with a vertical band, so a single day can be compared with the rest of the week. A left navigation column lists dashboard, projects, focus, settings and team, and a header carries a search field for dashboards or data, a notification bell and an account name with an avatar. The right column stacks three supporting metric cards, each with an icon: deep work hours for the day, context switches per day, and interruptions per hour shown in a warning tone. The values are sample data.
Work Patterns and Burnout Signal
Here the concept shows a work patterns page with a left navigation list for dashboard, work patterns, calendar, insights and settings, a search field, an account menu and a view selector beside the page heading. The upper-left card holds three summary figures covering productive time, focus sessions and deep work, each with a small caption. Beside it, a burnout signal card marked with a warning icon states that sustained overload has been detected and suggests protecting a morning block by scheduling focus time, with that suggestion repeated as an action row carrying a forward chevron. The lower-left card is a weekly heatmap of productive hours, days of the week as rows and hours from early morning to late evening as columns, cell brightness indicating intensity. The lower-right card charts two labeled series, energy level and mood, across the week. All values are sample data.
Topics
- focus score
- deep work hours
- context switching per day
- interruptions per hour
- burnout signal
- work pattern analysis
- productive hours heatmap
- energy and mood trends
- weekly focus trend
- sustainable workload
- peak productivity hours
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