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

Kenneth Pangan

Amogh Sarda
Last edited October 28, 2025
Expert Verified

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. The problem is, if you’re using Zendesk, you’ve probably found that just tracking this metric with Zendesk Explore can feel like a full-time job. The process for building reports is surprisingly clunky and rigid.
This guide will walk you through the standard Zendesk first reply time explore recipe setup, point out where it falls short, and show you a much better, AI-powered way to not just track your FRT, but to actually shrink it.
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 cuts down on those "Hey, any update on this?" follow-up messages from anxious customers, which just create more work.
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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 good start, but the real win is getting it as close to zero as possible. This is where many teams hit a wall, spending more time wrestling with reports than actually improving their process.
The manual way: A look at the Zendesk first reply time explore recipe setup
Zendesk Explore is a pretty powerful tool, no doubt. But getting it to show you what you want feels less like clicking a button and more like following a complicated cookbook. They even call the instructions "recipes," which is fitting because you have to follow every single step perfectly, or the whole thing falls flat. For anyone who isn't a dedicated data analyst, it's a lot to ask.
Building a basic FRT report with Zendesk Explore
If you want to report on FRT in Zendesk, you have to roll up your sleeves and build a custom report. This involves diving into the Explore section, picking the right dataset (like "Support - Tickets"), and then manually dragging and dropping the metrics and attributes you need.
Here’s a simplified version of what that looks like:
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Start a New Report: First, you have to find your way to the Reports library and kick off a new report using the Support dataset.
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Pick the Right Metric: From a very long list of options, you need to find and select "First reply time (min)". Then you have to choose between calendar hours and business hours, which can get messy if your business hours aren't configured just right.
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Add Attributes: To see the FRT for tickets solved on a certain day, you’ll need to add an attribute like "Ticket solved - Date".
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Filter the Dates: You'll have to manually set the date range you want to look at, maybe for the last week or month.
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Pick a Chart: Finally, you choose how you want to see the data, maybe as a simple column chart.
It sounds simple enough on paper, but each step is packed with sub-menus and options. One wrong click can throw off your data entirely, and you have to go through this whole song and dance every time you want a new perspective on your FRT.
Getting fancy: Heatmaps and reply time brackets
What if you want to go deeper? Maybe you want to see when your FRT is at its worst or how many tickets are answered within certain time windows. You can do this with Zendesk Explore, but get ready for the complexity to ramp up significantly.
A sample Zendesk Explore dashboard, showcasing how the Zendesk first reply time explore recipe setup can be used to visualize support metrics.
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FRT Heatmaps: Want a visual map of your busiest days and hours? You'll need to add attributes like "Ticket created - Day of week" and "Ticket created - Hour". Then you have to mess with color encoding and chart configurations to make the data actually look like a heatmap. It’s a multi-step process that feels more like coding than running a report.
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Reply Time Brackets: To group tickets into performance buckets (like "0-15 seconds," "15-30 seconds"), you have to use a specific attribute in a different dataset. And if you want to create your own custom brackets? You’ll need to write a custom formula to make it happen.
For a busy support manager, spending hours on this kind of advanced Zendesk first reply time explore recipe setup is a major distraction. Your job is to lead a team and help customers, not to become a part-time data scientist.
The limits of the Zendesk first reply time explore recipe setup
Digging into all that data is great, but relying only on Zendesk Explore recipes has some real downsides that keep you from making meaningful progress.
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You're always looking in the rearview mirror. Explore reports are great at telling you what your FRT was last week or yesterday. But they do absolutely nothing to help you answer the ticket that’s sitting in the queue right now. You’re always reacting to old news instead of getting ahead of the problem.
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It’s a huge time sink to set up. Let’s be honest, the process we just walked through is not intuitive. It takes time and technical skill that many support teams just don't have. This often means teams either give up and don’t track FRT at all, or they rely on one person who knows the system, creating a bottleneck.
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It shows you the problem, but doesn't help you fix it. A report might tell you that your FRT skyrockets every Monday at 9 AM. That’s useful information, but the report can’t do anything about it. It’s still up to your already-busy team to figure out how to handle the rush.
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Your data is stuck in a silo. The knowledge needed to answer tickets quickly often lives outside of Zendesk. Maybe it's in a Confluence page, a Google Doc, or a conversation in Slack. Zendesk Explore reports can’t see any of that, so you’re only getting part of the picture.
This is where a modern AI tool completely changes the conversation. It moves you from just measuring your FRT to actively shrinking it.
Move beyond the Zendesk first reply time explore recipe setup: Improving FRT with AI
What if you could spend less time analyzing why your FRT was high last Monday and more time actually preventing it from happening again? This is where you stop just reporting on the problem and start actively solving it, and AI is the perfect tool for the job.
An AI platform like eesel AI connects right into your existing helpdesk, like Zendesk, and can start making a difference in minutes, not months.
Give instant answers with an AI agent
The fastest possible first reply is an instant one. An AI agent can be your first line of defense, handling the simple, repetitive questions that come in day and night. With eesel AI, you can train an AI Agent using the knowledge you already have, whether it's in your help center articles, macros, or even your team's past ticket responses.
It can immediately resolve those common questions like "Where's my order?" or "How do I reset my password?". This clears the queue for your human agents so they can tackle the tougher issues, and it makes FRT a non-issue for a big chunk of your tickets. You get to decide exactly which types of questions the AI handles, so you're always in control, and anything it can't handle is escalated smoothly.
Help your team move faster with an AI copilot
For the tickets that still need a human expert, an AI Copilot can slash your FRT by doing the tedious work for your agents. The eesel AI Copilot sits right inside the Zendesk interface and drafts accurate, on-brand replies for your agents to review and send.
No more digging through old documents or typing out the same answer for the tenth time that day. The Copilot learns from your best agents' past replies, so it nails your company's tone of voice. This is a game-changer for your experienced agents, and it’s an incredible training tool for new hires, helping them respond confidently from day one.
See the impact before you even launch
One of the scariest parts of trying a new tool is the uncertainty. Will it actually work for your team and your customers? How can you be sure an AI agent will really lower your FRT? eesel AI takes the guesswork out of it with a simulation mode.
Before the AI ever interacts with a live customer, you can run it on thousands of your past tickets. This gives you a crystal-clear picture of how it would have performed, showing you your potential automation rate and how much time and money you could save. It’s a completely risk-free way to get the data you need to make a smart decision, which is a world away from the trial-and-error of manual reporting.
Stop just tracking metrics with the Zendesk first reply time explore recipe setup: Start improving them
Look, keeping an eye on your First Reply Time is important. But it shouldn't be the whole job. If you’re spending all your energy just trying to get the Zendesk first reply time explore recipe setup right, you're stuck looking at the past. You're measuring the problem, not solving it.
Modern AI tools like eesel AI flip that script. By plugging directly into the tools you already use, eesel AI gives you an agent to handle the simple stuff and a copilot to help your team with the rest. You can directly and proactively lower your FRT instead of just writing reports about it. You can get started in minutes without needing a degree in data analytics.
Ready to spend less time building reports and more time making customers happy? Try eesel AI for free and see for yourself how fast you can turn your support metrics around.
Frequently asked questions
The Zendesk first reply time explore recipe setup is the manual, step-by-step process used within Zendesk Explore to build 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.
It can be quite complex and time-consuming. The blog highlights that it often feels like following a complicated cookbook, requiring precise steps and familiarity with various sub-menus and options, which can be challenging for non-analysts.
With this setup, you can generate 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 historical performance data.
Its primary limitations are that it's reactive, only showing past performance, and can be a significant time sink to set up and maintain. It also shows problems without offering solutions and cannot integrate data from external knowledge sources.
Yes, you can customize it, but it adds to the complexity. To create custom reply time brackets, you typically need to use specific attributes from different datasets and may even need to write a custom formulas within Zendesk Explore.
While AI proactively improves FRT, understanding the manual setup can still offer insight into how Zendesk processes metrics. However, the blog suggests AI moves you beyond just tracking to actively solving the FRT challenge, making the manual setup less critical for daily operations.




