A strategic guide to the Zendesk first reply time explore recipe setup in 2026

Kenneth Pangan

Katelin Teen
Last edited January 12, 2026
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We’ve all been there, staring at a screen, waiting for a company to reply to our urgent question. That wait time? That’s what we in the support world call First Reply Time (FRT), and it’s a huge deal for customer experience. A fast response shows you’re listening and that you care.
Getting that FRT number down makes customers happier and your support team’s life a whole lot easier. If you’re using Zendesk, you’ve likely noticed that Zendesk Explore offers a very structured and granular way to track this metric. The reporting system is built for precision, allowing you to capture every detail of your team's performance.
This guide will walk you through the standard Zendesk first reply time explore recipe setup, explain how to make the most of its detailed features, and show you a complementary AI-powered way to not just track your FRT, but to help shrink it even further.
What is first reply time and why should you care?
So, what exactly is First Reply Time? Put simply, it’s how long a customer has to wait for that first "we're on it" response after they submit a ticket. It's the first impression your support team makes, and it sets the stage for the entire conversation. Even if the full solution takes a bit longer, a quick initial reply tells the customer they've been heard and that help is coming.
When you consistently keep your FRT low, good things happen:
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Happier customers: People feel valued when their issues are acknowledged quickly. It’s a simple equation that leads to better customer satisfaction (CSAT) scores.
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A more efficient team: When replies are fast, you prevent ticket queues from piling up. It also helps manage customer expectations, reducing the need for follow-up messages.
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A stronger brand: A reputation for being responsive is a massive plus. In a crowded market, it can be the one thing that makes you stand out.
Keeping track of your FRT is a great foundation, and using professional reporting tools helps ensure you have the data you need to optimize your process.
The professional approach: A look at the Zendesk first reply time explore recipe setup
Zendesk Explore is a powerful, enterprise-grade tool. Getting it to show you specific data requires following detailed "recipes," which are precise instructions designed to ensure your data remains clean and accurate. For those who value data integrity and deep customization, this structured approach is incredibly effective.
Building a basic FRT report with Zendesk Explore
If you want to report on FRT in Zendesk, you can build a custom report by following a series of logical steps. This involves using the Explore section to pick the right dataset and selecting the specific metrics that matter to your business.
Here’s a simplified version of what that looks like:
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Start a New Report: Navigate to your Reports library and begin a new report using the comprehensive Support dataset.
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Pick the Right Metric: From the extensive list of options, select "First reply time (min)". You can choose between calendar hours and business hours to match your team's schedule.
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Add Attributes: To organize your data by time, you can add an attribute like "Ticket solved - Date".
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Filter the Dates: Set the exact date range you want to analyze, whether it's for the last week, month, or a custom period.
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Pick a Chart: Choose from a variety of visualization types, such as a column chart, to make the data easy to digest.
graph TD A[Step 1: Start New Report in Library] --> B[Step 2: Select 'First reply time (min)' Metric]; B --> C[Step 3: Add 'Ticket solved - Date' Attribute]; C --> D[Step 4: Filter by Date Range]; D --> E[Step 5: Choose Visualization Type e.g., Column Chart];
Each step offers various sub-menus and options, providing a high level of control over how your data is processed and presented.
Advanced reporting: Heatmaps and reply time brackets
For teams that want deeper insights, Zendesk Explore offers advanced capabilities to see when your FRT varies or how many tickets are answered within specific windows.

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FRT Heatmaps: To create a visual map of your busiest periods, you can add attributes like "Ticket created - Day of week" and "Ticket created - Hour". The color-coding options allow you to create professional heatmaps for stakeholder reports.
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Reply Time Brackets: To group tickets into performance buckets (like "0-15 seconds"), you can utilize specific attributes within the dataset. For even more granularity, you can write custom formulas to create brackets tailored to your SLAs.
For a support manager, the depth of the Zendesk first reply time explore recipe setup ensures you have a detailed, analytical view of your operations.
Maximizing the value of the Zendesk first reply time explore recipe setup
While Explore recipes provide a world-class historical view, it’s helpful to understand where they fit in your overall strategy in 2026.
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Essential historical context: Explore reports are excellent at providing a retrospective look at your performance. This historical data is vital for long-term planning and identifying trends over time.
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Detailed and thorough setup: Because the setup is so comprehensive, it ensures that your reporting is accurate. Once these reports are configured, they serve as a reliable source of truth for your department.
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Diagnostic power: These reports tell you exactly what happened. While the reports themselves don't change the outcome of a ticket, they provide the diagnostic data you need to make informed staffing and process decisions.
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Focused ticketing data: Zendesk Explore is highly specialized for ticketing data. To get an even broader view, some teams choose to complement this data with information from other parts of their ecosystem.
This is where a modern AI tool can act as a powerful complement to your Zendesk setup, helping you act on the insights your reports provide.
Complementing the Zendesk first reply time explore recipe setup with AI
Once you've analyzed your data and identified where you'd like to improve, you can use AI to help take your FRT to the next level. This doesn't replace your reporting; it builds upon the solid foundation Zendesk provides.
A platform like eesel AI integrates seamlessly with Zendesk, working within the ecosystem you've already built.
Enhance responsiveness with an AI agent
An AI agent can serve as an excellent addition to your team, handling immediate, repetitive questions. Trained on your existing Zendesk help center articles and past ticket responses, it can provide instant answers to common queries.
This helps maintain a low FRT even during peak times, allowing your human agents to focus on complex cases that require their expertise. It works alongside your Zendesk setup to ensure no customer is left waiting.
Support your agents with an AI copilot
For tickets that require a human touch, an AI Copilot can help your team respond even faster. Sitting right inside your Zendesk interface, the eesel AI Copilot can draft accurate replies for your agents to review.
This allows your experienced agents to work more efficiently and helps newer team members find the right information quickly. It leverages your company's tone of voice, ensuring every response is on-brand and professional.
Data-driven simulations
To see how these additions can further improve your metrics, you can use simulation tools. Before going live, you can run AI models against your historical Zendesk data to see the potential impact on your FRT and automation rates. It’s a great way to validate your strategy using the reliable data you've gathered from your Zendesk reports.
A complete strategy for 2026: Tracking and improving
Keeping a close eye on your First Reply Time is a key part of running a top-tier support organization. By mastering the Zendesk first reply time explore recipe setup, you ensure you have the deep, analytical insights needed to understand your team's performance.
In 2026, the best teams use these insights as a springboard. By adding tools like eesel AI to their Zendesk ecosystem, they can proactively work to lower their response times and provide an even better experience for their customers.
Ready to see how you can further enhance your support metrics? Try eesel AI for free and see how it works hand-in-hand with your Zendesk reporting to drive better results.
Frequently asked questions
The Zendesk first reply time explore recipe setup is a professional, step-by-step process used within Zendesk Explore to build sophisticated custom reports specifically for tracking your team's First Reply Time (FRT) metrics. It involves selecting specific datasets, metrics, attributes, and filters to visualize your FRT data with high precision.
It is a detailed and thorough process. The blog highlights that it follows a precise set of instructions, requiring specific steps and familiarity with various menus, which ensures that the final data is accurate and reliable for team leaders.
With this setup, you can generate comprehensive reports showing average FRT over specific periods, visualize FRT heatmaps by day and hour, and even create custom reply time brackets to group tickets by response speed. It provides essential historical performance data.
Its primary focus is on historical performance, providing a solid foundation for understanding past trends. While it is a detailed process to set up, it offers powerful diagnostics. For real-time automation, it can be seamlessly paired with external knowledge sources via AI integrations.
Yes, Zendesk Explore is highly customizable. To create custom reply time brackets, you can use specific attributes from different datasets or use formulas within Zendesk Explore to tailor the report to your exact requirements.
Absolutely. While AI proactively improves FRT, understanding the manual setup offers critical insight into how Zendesk processes metrics. It provides the historical context necessary to measure the success of your AI initiatives.
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Article by
Kenneth Pangan
Writer and marketer for over ten years, Kenneth Pangan splits his time between history, politics, and art with plenty of interruptions from his dogs demanding attention.





