- Glossary
- Automation
- Round Robin
What is Round Robin?
A routing method that distributes tickets evenly among available agents
What is Round Robin?
Round-robin routing distributes incoming conversations sequentially among available agents: Agent A gets the first, Agent B gets the second, Agent C gets the third, then back to Agent A. This ensures every agent receives an equal share of the workload regardless of conversation complexity or timing. The rotation only includes agents who are currently online and within their working hours.
Round-robin is the simplest routing strategy and the default for most teams getting started with automation. It eliminates the "inbox zero race" where faster agents grab easy tickets first, leaving complex ones for others. Variations include weighted round-robin (some agents get more based on seniority) and round-robin with capacity limits (pausing assignment when an agent reaches a maximum concurrent conversation count).
Why Round Robin Matters
Round-robin solves the fairness problem in support teams. Without it, agents who respond faster naturally accumulate more tickets—often the simpler ones. This creates resentment among agents who end up with harder, more time-consuming issues. Equal distribution prevents cherry-picking and ensures all agents develop breadth of experience across issue types.
For managers, round-robin provides clean performance data. When every agent handles the same volume, differences in resolution time and CSAT scores reveal genuine skill differences rather than workload imbalances. This makes coaching conversations more productive and fair.
Round Robin in Practice
A 5-agent team switched from a shared queue (agents manually claimed conversations) to round-robin routing. Before the switch, 2 agents handled 60% of the volume (mostly easy questions), while the other 3 handled complex issues that took longer. After round-robin, each agent handled 20% of volume with a natural mix of easy and complex questions. Average resolution time evened out across the team, and the two previously overworked agents reported lower stress levels.