Configuring Bitrix24 Flow Efficiency
Flows work, tasks are distributed, but the manager can't answer a simple question: is the team coping? How many tasks are processed daily? Where's the bottleneck? Who's overloaded? Without metrics, managing flows is blind. Efficiency configuration is measuring, visualizing, and optimizing flow operations based on data.
Key Flow Metrics
Throughput—number of tasks closed per period. Measured in tasks per day/week. Shows real team productivity. If throughput drops with unchanged team—something's hindering work.
Cycle time—time from task arrival to closure. Includes queue time + assignment time + work time. Lower cycle time = faster request handling.
Lead time—time from task creation by the creator to closure. Differs from cycle time by including time before entering the flow (if task was created but not immediately sent to flow).
Queue time—how long the task waits for assignment. High value → resource shortage or uneven distribution.
WIP (Work In Progress)—number of tasks in progress simultaneously. Too high WIP → employees switch between tasks, each task's efficiency drops.
Identifying Bottlenecks
Bottlenecks are identified by metric combinations:
| Symptom | Cause | Solution |
|---|---|---|
| Queue grows, throughput stable | Incoming flow exceeds capacity | Add participants or redirect tasks |
| Cycle time grows, throughput falls | Employees overloaded, many switches | Reduce WIP limit |
| High queue time for one task type | Shortage of specialists of certain profile | Train additional employees |
| Uneven throughput across days | Peak load on certain days | Adjust shift distribution |
Reports and Dashboards
Configure reports in Bitrix24:
- Flow dashboard—current state: tasks in queue, in progress, closed today. Updates in real-time.
- Weekly report—throughput, average cycle time, participant workload. Sent to manager on schedule.
- SLA report—percentage of tasks completed within SLA. Breakdown by priority and task type.
- Participant report—individual statistics: closed tasks, average cycle time, overdue percentage.
Optimization Based on Data
Based on metrics analysis:
- Adjust WIP limits. If cycle time grows—reduce max simultaneous tasks per employee.
- Rebalance flows. If one flow overloaded, another idle—redistribute participants.
- Change distribution method. If round-robin gives uneven load—switch to load-based distribution.
- Add automation. Routine tasks taking much time—candidates for templating or automation.
What We Configure
- Efficiency metrics: throughput, cycle time, lead time, WIP
- Dashboards for flow managers
- Automatic reports on schedule
- SLA monitoring with notifications on violations
- Bottleneck analysis and optimization recommendations
- Manager training: reading metrics, making data-driven decisions