Zendesk Tickets per Agent Report: Balance Workload Without Sacrificing Quality

Last updated: March 16, 2026

Zendesk Tickets per Agent Report: Balance Workload Without Sacrificing Quality

Tickets per agent is one of the fastest ways to understand support capacity. It tells you how much work each person handles in a given period, which makes it useful for staffing, queue balancing, and spotting overloaded agents.

It is also one of the easiest metrics to misuse. High ticket volume can reflect strong productivity, simple ticket mix, or rushed low-quality work. This guide shows how to build a tickets per agent report in Zendesk and how to read it without turning it into a bad incentive.

Choose the version of the metric first

Before you build the report, decide what “tickets per agent” should mean for your team. The three most common definitions are:

  • Solved tickets per agent - best for output and staffing analysis
  • Touched tickets per agent - best for understanding workload in collaborative queues
  • Assigned tickets per agent - best for current distribution and queue balancing

Most teams should start with solved tickets per agent for weekly reporting, then add assigned tickets as a real-time operational view.

How to build the report in Zendesk Explore

  1. Open the Support: Tickets dataset in Zendesk Explore.
  2. Set the metric to solved tickets, ticket updates, or assigned tickets based on the definition you chose.
  3. Add assignee as the row dimension so each agent has a visible total.
  4. Trend by week or month depending on team size. Weekly is usually better for small teams because it shows sudden imbalance faster.
  5. Add filters for group, ticket form, priority, and channel so you can compare like with like.
  6. Save it to your support metrics dashboard next to quality and time metrics.

Do not review tickets per agent alone. Pair it with:

That way you can tell the difference between healthy throughput and unhealthy speed.

What the number tells you

High tickets per agent can mean:

  • efficient handling of simple work
  • strong routing and specialization
  • one or two agents carrying too much of the queue
  • rushed responses that may lower quality later

Low tickets per agent can mean:

  • complex tickets requiring more effort
  • a newer agent still ramping
  • underutilization or uneven routing
  • work happening outside the queue that your report does not count cleanly

The number is useful because it starts a conversation. It is dangerous when it ends the conversation.

Best ways to segment the report

By group

Compare teams with similar work types. Billing and technical support will rarely have the same healthy range.

By channel

Chat usually drives higher ticket volume per agent than email because conversations are shorter and more repetitive.

By ticket type or form

This is the easiest way to avoid punishing the team that handles the hardest work.

By tenure

New hires, specialists, and generalists often live in different ranges. Compare peers, not everyone at once.

How to use it for staffing

Tickets per agent becomes especially useful when combined with ticket volume trends.

A simple capacity planning workflow:

  1. Calculate your recent solved tickets per agent per week.
  2. Layer in quality metrics so you know the pace is sustainable.
  3. Compare that output to forecasted ticket inflow.
  4. Add a buffer for meetings, projects, and unexpected spikes.

This gives you a much better staffing model than guessing from backlog alone. For a deeper planning framework, see support capacity planning.

Common mistakes

1. Turning it into a leaderboard

If agents feel pressured to maximize volume at all costs, they will optimize for speed over quality. Pair the report with quality metrics every time.

2. Ignoring collaborative work

Some tickets are touched by multiple people. If you only count solved tickets, specialists may look underused even when they carry critical complexity.

3. Comparing unlike queues

Do not compare a chat queue full of simple requests to a technical escalation queue. Normalize by work type first.

What to do when the report shows imbalance

  • Tighten routing - Use group rules, skills, and workload-aware assignment.
  • Redistribute repeated tasks - If one agent owns all manual work, automate or rotate it.
  • Investigate quality drift - High tickets per agent plus rising reopen rate is a red flag.
  • Review specialist bottlenecks - Sometimes the issue is not overload but a narrow skill dependency.

FAQ

What is a good tickets per agent benchmark? There is no single benchmark. The right range depends on complexity, channel mix, and staffing model. Track your own baseline and compare it with quality outcomes.

Should I use solved, touched, or assigned tickets? Use solved tickets for output, assigned tickets for queue balance, and touched tickets when collaboration is common. Many teams end up using all three for different decisions.

Can tickets per agent replace utilization? No. It is an output metric, not a full workload metric. Use it alongside agent utilization and handle time.

Balance workload before the queue burns people out - start free