Profile Metrics
Profile Metrics provide data-driven insights into work patterns, capacity utilization, and contribution impact. These analytics help individuals understand their productivity and help managers support team sustainability.
Overview
Metrics are organized into four tabs on the profile page:
| Tab | Purpose | Key Indicators |
|---|---|---|
| Health | Work-life balance and sustainability | Context switching, load distribution, risk indicators |
| Capacity | Time utilization and availability | Utilization rate, availability forecast, project distribution |
| Performance | Productivity trends | Task velocity, sprint contribution |
| Impact | Value delivered | Revenue impact, story points, contributions |
Health Tab
Monitor sustainability and prevent burnout through work pattern analysis.
Context Switching
Measures how often you switch between different projects, which research shows significantly impacts productivity.
| Metric | Description | Healthy Range |
|---|---|---|
| Simultaneous | Projects actively working on at once | 1-3 projects |
| Switches/Day | Average daily project transitions | Under 5 switches |
| Focus Score | Concentration indicator (0-100) | 70+ |
| Impact | Estimated productivity loss | Under 10% |
Status Indicators:
- HEALTHY (green): Focus is maintained, manageable load
- MONITOR (yellow): Increasing context switches, attention needed
- CRITICAL (red): Heavy fragmentation, intervention recommended
Alert Example:
⚠ High context switching detected
Working on 6 projects simultaneously with 12 switches/day.
Estimated 25% productivity impact.Load Distribution
Analyzes work intensity across time periods.
| Metric | Description | Healthy Range |
|---|---|---|
| Avg Daily | Average hours worked per day | 6-8 hours |
| Peak | Maximum single-day hours | Under 10 hours |
| Outside Hrs | Work outside business hours | Under 5% |
| No Closure | Days without completing any task | Under 3 days |
Status Interpretation:
- Consistent daily hours indicate sustainable pace
- High peak days may indicate crunch or poor estimation
- Excessive outside-hours work suggests overload
- Long periods without closure may indicate blocked work
Risk Indicators
Early warning signals for potential issues:
| Indicator | Warning Threshold | Description |
|---|---|---|
| Days without movement | 3+ days | No task status updates |
| Overdue tasks | Any count | Tasks past due date |
| Engagement score | Below 50 | Low activity level |
These indicators help identify when someone might be stuck, overwhelmed, or disengaged.
Work-Life Balance
Holistic view of sustainable work patterns:
| Metric | Description | Target |
|---|---|---|
| Balance | Overall work-life score | 70+ |
| Weekend | Weekend days with activity | 0-1 per month |
| Consecutive | Days worked without break | Under 10 |
Balance Score Calculation:
- Factors in regular hours, overtime, weekend work
- Adjusts for voluntary vs. required overtime
- Higher score = better balance
Capacity Tab
Understand time allocation and future availability.
Utilization Rate
How effectively available time is being used:
| Metric | Description | Optimal Range |
|---|---|---|
| Available | Total hours available in period | Based on schedule |
| Worked | Actual hours logged | Tracked from time entries |
| Utilization | Percentage of time used | 70-85% |
| Ideal | Recommended range | 70-85% |
Why 70-85%?
- Under 70%: Potential underutilization
- 70-85%: Sustainable productivity
- Over 85%: No buffer for unexpected work
Weekly Utilization Chart: Visual bar chart showing utilization by week, making trends visible.
Availability Forecast
Future capacity for planning:
| Metric | Description | Calculation |
|---|---|---|
| Total | Hours available in forecast period | Based on work schedule |
| Committed | Hours assigned to scheduled tasks | Sum of estimated hours |
| Buffer | Reserve for unexpected work | 15% of total |
| Free | Available for new assignments | Total - Committed - Buffer |
Example:
Next 2 weeks forecast:
Total: 80 hours
Committed: 50 hours
Buffer: 12 hours
Free: 18 hoursProject Distribution
Breakdown of time across projects:
| Classification | Percentage | Interpretation |
|---|---|---|
| Anchor (>40%) | High | Primary focus project |
| Significant (15-40%) | Medium | Regular contribution |
| Scattered (<15%) | Low | Minor involvement |
Optimal Distribution:
- 1-2 anchor projects for deep focus
- 2-3 significant projects for variety
- Minimal scattered projects (overhead)
Warning: SCATTERED status indicates time fragmented across too many small projects.
Performance Tab
Track productivity trends over time.
Task Completion Velocity
| Metric | Description | Trend |
|---|---|---|
| Tasks/Week | Average tasks completed | Stable or increasing |
| Trend | Week-over-week change | Positive = improving |
| Variance | Consistency of output | Low = consistent |
Sprint Contribution
For teams using sprints:
| Metric | Description |
|---|---|
| Points Delivered | Story points completed |
| Sprint Participation | Percentage of sprint capacity used |
| Commitment Accuracy | Committed vs. delivered ratio |
Quality Indicators
| Metric | Description |
|---|---|
| Reopened Tasks | Tasks returned from done |
| Bug Rate | Bugs attributed per feature |
| Review Cycles | Iterations before approval |
Impact Tab
Measure contribution value beyond task counts.
Revenue Impact
For billable work:
| Metric | Description |
|---|---|
| Billable Hours | Time logged as billable |
| Revenue Generated | Billable hours × rate |
| Client Coverage | Clients worked for |
Story Points Delivered
Aggregate effort contribution:
| Period | Points | Comparison |
|---|---|---|
| This Week | 21 | +15% vs. average |
| This Month | 84 | On target |
| This Quarter | 240 | +8% vs. last quarter |
Contribution Categories
| Category | Examples |
|---|---|
| Feature Development | New functionality built |
| Bug Fixes | Issues resolved |
| Technical Debt | Improvements and refactoring |
| Documentation | Guides and knowledge base |
| Support | Team assistance and reviews |
Understanding Status Colors
Consistent color coding across all metrics:
| Status | Color | Action |
|---|---|---|
| HEALTHY / OPTIMAL | Green | Maintain current patterns |
| GOOD | Green | On track |
| MONITOR | Yellow | Watch for changes |
| FRAGMENTED | Orange | Consider consolidation |
| CRITICAL | Red | Intervention needed |
Who Can See Metrics
| Viewer | Access Level |
|---|---|
| Profile owner | Full access to own metrics |
| Workspace admin | View metrics for all members |
| Team members | Cannot view others' metrics |
| External clients | No access |
Metrics are private by default with access controlled by role.
Using Metrics Effectively
For Individuals
- Monitor Health tab weekly for sustainability
- Check Capacity before accepting new work
- Track Performance trends, not daily fluctuations
- Celebrate Impact achievements
For Managers
- Review team Health to prevent burnout
- Balance workloads using Capacity data
- Support individuals showing warning signs
- Recognize high-impact contributions
Common Patterns
Overload Pattern:
- High context switching
- Extended hours
- Weekend work
- Low engagement score
Underutilization Pattern:
- Low utilization rate
- High free capacity
- Few projects
- Low task velocity
Healthy Pattern:
- Focus on 1-2 projects
- Sustainable hours
- Consistent output
- Good work-life balance
Data Sources
Metrics are calculated from:
| Source | Metrics Informed |
|---|---|
| Time tracking | Hours, utilization, billable |
| Task management | Velocity, completion, status |
| Sprint data | Points, commitment, burndown |
| Project assignments | Distribution, context switching |
Accuracy depends on:
- Consistent time logging
- Task status updates
- Sprint planning completion
- Accurate effort estimates
Frequently Asked Questions
How often do metrics update?
Metrics refresh daily with overnight calculation. Real-time data may lag up to 24 hours.
Can I hide my metrics?
Metrics visibility is role-based. You cannot hide metrics from workspace administrators. You can always see your own metrics.
What if metrics seem wrong?
Verify:
- Time entries are logged correctly
- Task statuses are current
- Sprint assignments are accurate
- Check data within expected date range
Do metrics affect my standing?
Metrics are informational, not punitive. They exist to support sustainable work patterns and personal improvement, not performance management.
How far back does history go?
Metrics retain historical data for:
- 90 days detailed view
- 1 year summary view
- Longer retention for Pro workspaces
Related Pages
- Profile - Main profile page
- Time Tracking - Logging work hours
- Sprints - Sprint management