How to track reopened tickets in Zendesk Explore: A complete guide

Stevia Putri
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Stevia Putri

Last edited February 26, 2026

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A high volume of reopened tickets is a clear signal that something's not working in your support process. When customers have to come back because their issue wasn't fully resolved the first time, it creates extra work for your team and damages customer satisfaction.

The good news? Zendesk Explore makes it easy to track reopened tickets and identify patterns. In this guide, I'll walk you through creating reports that show exactly how many tickets are being reopened, who's reopening them, and what you can do about it.

A screenshot of Zendesk's landing page.
A screenshot of Zendesk's landing page.

What are reopened tickets and why they matter

In Zendesk, a reopened ticket is any ticket that was changed from Solved or Closed status back to Open or Pending. This typically happens when a customer replies to a solved ticket because their issue wasn't fully resolved, or when an agent realizes they need to add more information.

Why does this metric matter? Reopened tickets indicate:

  • Incomplete resolutions: The agent thought the issue was fixed, but the customer disagrees
  • Quality gaps: Missing information or unclear communication in the initial response
  • Training opportunities: Patterns in reopens can highlight where agents need coaching
  • Knowledge base gaps: Common reopen reasons often point to missing help center articles

Industry benchmarks suggest a reopen rate under 5% is considered healthy. If you're seeing higher numbers, it's worth investigating what's driving customers to come back.

The counter-metric to track alongside reopened tickets is first-contact resolution (FCR). When you solve issues completely on the first try, customers don't need to reopen tickets. At eesel AI, we focus on helping teams improve FCR by learning from past tickets and help center content to draft more complete responses from the start.

eesel AI instructions panel showing natural language configuration for setting up AI agent behavior and escalation rules.
eesel AI instructions panel showing natural language configuration for setting up AI agent behavior and escalation rules.

What you'll need

Before you start building your reopened tickets report, make sure you have:

  • Zendesk Explore Professional or Enterprise: The reopened tickets metric requires these plan levels
  • Editor or admin permissions: You'll need access to create and save reports in Explore
  • Ticket data in Zendesk Support: Your account needs solved tickets to analyze (the more history, the better)
  • Basic familiarity with Explore: Understanding how to navigate the report builder will help

If you're not sure about your Explore access, check with your Zendesk administrator. The reopened tickets metric is available in the Support - Tickets dataset, which most support teams have access to.

Creating a reopened tickets report

Let's build a basic report showing reopened tickets per day. This gives you a trend line to see whether your reopen rate is improving or getting worse over time.

Step 1: Create a new report in the Tickets dataset

Start by navigating to Explore in your Zendesk admin panel. Click the Reports icon, then select New report from the report library.

On the Select a dataset page, choose Support, then Support - Tickets. This dataset contains all the ticket-level metrics you'll need, including the reopened tickets count.

A report builder interface displaying the 'Support: Tickets' dataset and configuration for a 'Reopened tickets by solve date' report.
A report builder interface displaying the 'Support: Tickets' dataset and configuration for a 'Reopened tickets by solve date' report.

Click Start report to open the report builder.

Step 2: Add the Reopened tickets metric

In the Metrics panel on the left, click Add to open the metrics list. Navigate to Tickets, then select Reopened tickets from the available options. Click Apply to add it to your report.

The Reopened tickets metric counts unique tickets that have been reopened at least once. If a ticket gets reopened multiple times, it still only counts once in this metric.

Step 3: Add time-based attributes

To see trends over time, you need to add a date attribute. In the Rows panel, click Add and select Ticket solved - Date. This shows reopened tickets grouped by the date they were originally solved.

Next, add a filter to prevent query timeouts while you're building. In the Filters panel, add Ticket created - Date and set it to a recent time period, like the last 30 days. You can expand this range once your report is working.

The report builder interface displaying 'Reopened tickets by solve date' with 'Ticket solved - Date' as a row attribute and a 'Ticket created' filter configured.
The report builder interface displaying 'Reopened tickets by solve date' with 'Ticket solved - Date' as a row attribute and a 'Ticket created' filter configured.

Step 4: Customize and save

Now you can adjust how the data displays. Try different visualizations:

  • Table: Shows exact numbers for each day
  • Line chart: Good for spotting trends over time
  • Column chart: Makes it easy to compare days

Add any additional filters that make sense for your analysis, such as filtering by ticket group or specific tags. When you're happy with the report, save it to a dashboard where your team can access it.

Understanding the ticket lifecycle helps identify exactly when a solved issue regresses into a reopened status for further action.
Understanding the ticket lifecycle helps identify exactly when a solved issue regresses into a reopened status for further action.

Filtering reopened tickets by updater role

Not all reopened tickets indicate quality problems. Sometimes agents reopen tickets by mistake, or they need to add information they forgot. To get a clearer picture of actual customer-initiated reopens, you can filter by who made the update.

Why filter by updater role

Filtering by updater role helps you:

  • Distinguish between customer dissatisfaction and agent errors
  • Get a more accurate measure of support quality
  • Focus coaching conversations on the right issues
  • Avoid overreacting to agent mistakes

Using the Updates History dataset

To filter by updater role, you need to use a different dataset. Create a new report and select Support, then Updates History - Tickets. This dataset tracks every update made to tickets, including who made it.

Add the Tickets reopened metric from the Tickets section. Then in the Rows panel, add Updater, then Updater role. Click on the Updater role attribute you just added, select Selected, then choose End user only.

The report builder interface showing the 'Updates History' dataset with 'Updater role' configured as a row.
The report builder interface showing the 'Updates History' dataset with 'Updater role' configured as a row.

This report now shows only tickets that were reopened by customers, not agents. Add your date filters the same way as before to see trends over time.

Understanding the Reopened tickets metric

There's an important distinction to understand: Reopened tickets and Reopens are two different metrics.

MetricWhat it countsUse case
Reopened ticketsUnique tickets with at least one reopen"How many tickets came back?"
ReopensTotal reopen events"How many times did tickets get reopened?"

The formula behind the Reopened tickets metric is:

IF (VALUE(Reopens)>0) THEN [Ticket ID] ENDIF

This means it counts each ticket only once, even if it was reopened multiple times. It also excludes tickets that were solved and reopened during the same update (a rare edge case).

Common pitfalls to avoid:

  • Don't confuse reopened tickets with open tickets. Reopened specifically means they were solved first.
  • Remember that tickets in Closed status cannot be reopened in Zendesk. They would need to be recreated as follow-up tickets.
  • The metric looks at whether a ticket has ever been reopened, not whether it's currently in reopened status.
Distinguishing between unique tickets and total reopen events is crucial for accurately measuring support efficiency and recurring friction.
Distinguishing between unique tickets and total reopen events is crucial for accurately measuring support efficiency and recurring friction.

How to act on reopened ticket data

Tracking reopened tickets is only useful if you do something with the data. Here's how to turn those reports into action.

Analyze patterns

Look for trends in your reopened ticket data:

  • Which agents have higher reopen rates? This could indicate training needs.
  • Which ticket categories get reopened most? You might have product issues or unclear documentation.
  • What time periods see spikes? New product releases or seasonal issues often drive reopens.
  • Which customer segments reopen tickets? VIP customers might have higher expectations.

Root cause analysis

When you dig into reopened tickets, common causes emerge:

  • Missing details: The resolution lacked critical information the customer needed
  • Superficial fixes: Quick solutions that didn't address the underlying problem
  • Communication gaps: The agent and customer weren't on the same page about what was fixed

Knowledge base improvements

Reopened tickets often reveal gaps in your help center. If customers keep coming back with the same questions, your knowledge base articles might need:

  • More complete troubleshooting steps
  • Clearer explanations of complex features
  • Better search keywords so customers find them

Agent coaching opportunities

Use reopened tickets as coaching moments. Review them with agents to identify:

  • Where they could have asked better questions
  • How to verify issues are truly resolved before closing
  • When to escalate instead of attempting a quick fix

AI-powered solutions

If you're looking to reduce reopened tickets systematically, consider how AI can help. At eesel AI, our AI Agent learns from your past tickets and help center content to provide more complete resolutions. Instead of rushing to close tickets, it takes time to understand the full context and delivers responses that actually solve the problem.

For teams that prefer human oversight, our AI Copilot drafts responses for agents to review. It suggests complete answers based on similar past tickets, helping agents catch missing details before they hit send.

Screenshot of a help desk interface like Zendesk. On the right side, the eesel AI Copilot sidebar shows a suggested reply to a customer's question, which was generated using the company's knowledge base and the powerful GPT-5 model.
Screenshot of a help desk interface like Zendesk. On the right side, the eesel AI Copilot sidebar shows a suggested reply to a customer's question, which was generated using the company's knowledge base and the powerful GPT-5 model.

Start improving your support quality today

Tracking reopened tickets in Zendesk Explore is straightforward, but the real value comes from acting on what you learn. Start with a simple daily report, then dig deeper into patterns. Look for agents, categories, or time periods that stand out.

Remember that reopened tickets are a symptom, not the disease. The goal isn't just to reduce the number, it's to improve first-contact resolution so customers get what they need the first time.

If you're ready to take the next step, consider how an AI teammate could help. eesel AI learns from your existing tickets and help center to draft more complete responses, reducing the gaps that lead to reopened tickets. You can start with our AI Copilot to assist your agents, or go fully autonomous with our AI Agent. Check out our pricing to find a plan that fits your team.


Frequently Asked Questions

The Reopened tickets metric counts unique tickets that have been reopened at least once. The Reopens metric counts the total number of reopen events. If one ticket gets reopened three times, Reopened tickets counts it once, while Reopens counts it three times.
No, the reopened tickets metric requires Zendesk Explore Professional or Enterprise. The metric is available in the Support - Tickets dataset, which is only included in these plan levels.
The metric excludes tickets that were solved and reopened during the same update. This is a rare edge case, but it means those tickets won't appear in the Reopened tickets count. Also, ensure your date filters include the time period when the tickets were solved.
Create a calculated metric that divides Reopened tickets by Solved tickets, then multiply by 100. The formula would be: (COUNT(Reopened tickets) / COUNT(Solved tickets)) * 100. This gives you the percentage of solved tickets that get reopened.
Industry benchmarks suggest a reopen rate under 5% is considered healthy. However, this varies by industry and support complexity. Track your own trend over time rather than comparing to external benchmarks.
Yes, add the Assignee attribute to your report rows or filters. This lets you see reopened ticket counts per agent. Just remember that reopens might happen after a ticket has been reassigned, so the assignee at the time of reopen might differ from who originally solved it.
Focus on first-contact resolution by improving agent training, updating your knowledge base, and verifying issues are truly resolved before closing tickets. AI tools like eesel AI can help by learning from past tickets to suggest more complete responses that address root causes.

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Stevia Putri

Article by

Stevia Putri

Stevia Putri is a marketing generalist at eesel AI, where she helps turn powerful AI tools into stories that resonate. She’s driven by curiosity, clarity, and the human side of technology.

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