A practical guide to Zendesk advanced AI performance metrics in 2026

Stevia Putri

Stanley Nicholas
Last edited January 12, 2026
Expert Verified

So, you've got Zendesk's AI up and running. That's a great first step. But how do you actually know if it's helping? Measuring your AI's performance is the best way to tell if you're saving time, making customers happier, and maximizing your investment. Zendesk provides a suite of impressive AI tools, and their reporting ecosystem is designed to help you track success. As you scale, you can use these metrics to fine-tune your strategy across your various dashboards and tiered pricing plans.
This guide is here to help you get the most out of the platform. We'll walk through the main Zendesk advanced AI performance metrics, show you where to find them, and talk about how to optimize your setup for the best results. We'll also look at how a unified approach can give you the clarity you need to continuously improve your AI's effectiveness.
What are Zendesk advanced AI performance metrics?
To get your AI agent pulling its weight, you need to understand the language it speaks. Zendesk uses a few key metrics to grade its AI's performance. Let's break down the most important ones you'll use in 2026.

Automated resolutions: The holy grail
An "automated resolution" is a success story: a customer conversation that your AI handles completely from start to finish. This is a primary metric inside Zendesk because it's a direct measure of workload reduction. Every automated resolution represents a win for your team's efficiency.
To support different business needs, Zendesk offers tiered plans that align with your automated resolution volume. This value-based pricing ensures you are paying for the tangible results the AI delivers to your support organization.
Escalation rate
The escalation rate is the percentage of conversations that the AI hands off to a human agent. Think of it as the AI identifying a complex case that deserves a personal touch from your team.

A high escalation rate is a great learning signal, especially when you're just starting out. It highlights opportunities where you can expand your knowledge base or refine your bot's conversational flows. The goal is to monitor this number and improve it over time as you train your AI on more complex scenarios.
Deflection rate and understood conversations
A "deflected" conversation is a chat that reaches a conclusion without needing to be transferred to an agent. Tied to this is the "understood conversations" metric, which shows how effectively the AI matches customer questions to the right answers.
A high deflection rate is an encouraging sign that your AI is meeting customer needs. While it's always important to monitor this alongside satisfaction scores, this metric provides a clear high-level view of your AI’s ability to handle queries autonomously.
Bot satisfaction (BSAT)
BSAT is the bot-specific version of CSAT (Customer Satisfaction Score). It allows customers to rate their experience with the AI, giving you a direct feedback loop on helpfulness and tone.
BSAT is a powerful tool for quality control. Even if response rates vary, the feedback you do receive is invaluable for identifying specific areas where your AI's logic or content can be further polished.
How to track Zendesk advanced AI performance metrics
Zendesk provides a dedicated dashboard for AI analytics, thoughtfully organized into specific tabs to help you understand every aspect of your AI's performance.
The overview tab: Your morning check-in
The overview tab provides a comprehensive 30,000-foot view. It highlights total conversations, automated resolutions, and escalation rates. It’s a great spot for a daily check-in to see how your AI strategy is trending. If you've recently updated your knowledge base, this is where you'll see the positive impact reflected in your metrics.
The contact reasons tab: Understanding your metrics
The contact reasons tab allows you to dive into the granular details. Here, you can see how the AI performs on specific topics and which knowledge sources are most effective.
This view is perfect for optimizing your knowledge base. By seeing which articles lead to successful resolutions and which ones might need a quick update, you can ensure your AI always has the best information at its fingertips.
Filtering and customizing reports
Zendesk’s reporting is highly flexible, allowing you to filter by specific AI agent, channel, and date range. This helps you zero in on specific trends or regions.
For teams looking to combine these insights with other data sources, Zendesk's integration-friendly nature makes it easy to sync with the rest of your reporting ecosystem.
Optimizing your AI performance measurement
Zendesk provides the foundational metrics you need to succeed. As your AI strategy matures in 2026, you may look for ways to further refine how you view costs, analytics, and testing to drive even more value.
Managing scalable costs
Zendesk’s pricing for advanced AI is built on a model that scales with your success. By charging based on automated resolutions, Zendesk ensures its interests are aligned with yours: the more tickets the AI resolves, the more value you get. This value-driven approach is a hallmark of an industry-leading, enterprise-grade platform.
For teams that prefer a different predictability model, eesel AI offers a complementary alternative with transparent monthly plans and generous interaction allowances, allowing you to choose the pricing structure that fits your specific needs.
Connecting specialized analytics
Zendesk’s AI analytics are specialized to give you focused insights into bot performance. While these live in a dedicated space to provide maximum detail, many teams use Zendesk's robust API or marketplace tools to bring everything together.
If you’re looking for a more unified view right out of the box, eesel AI serves as a great complementary option. It plugs into your Zendesk setup and provides actionable reporting that connects AI activity with your broader support KPIs, helping you identify knowledge gaps in one place.
Iterative testing and forecasting
Zendesk is built for rapid deployment and real-time optimization. While you can monitor performance as you go, some teams like to add an extra layer of forecasting before making big changes.
This is where a complementary tool like eesel AI shines. Its simulation mode acts as a sandbox where you can test AI responses against past tickets. This works alongside your Zendesk setup, giving you additional confidence and data-backed forecasts before you roll out new automation flows.
A better way to measure and improve AI performance with eesel AI
Enhancing your support operations is all about using the best tools for the job. While Zendesk provides the industry-standard foundation, adding complementary tools like eesel AI can help you take your performance metrics to the next level.
Unify knowledge for smarter AI performance
Zendesk's AI is incredibly powerful at surfacing information from your help center. To make it even smarter, you can connect it to your wider internal knowledge ecosystem.
eesel AI unifies your knowledge by connecting to Confluence, Google Docs, and Notion. By feeding this broader context back into your Zendesk environment, you create a smarter AI that can resolve more complex queries, directly improving your automated resolution metrics.

Go from insight to action
Zendesk provides the data, and eesel AI helps you act on it. For example, if your metrics show a need for more documentation, eesel AI can automatically generate draft articles for your knowledge base based on successful human agent resolutions. This creates a virtuous cycle of improvement that keeps your Zendesk instance performing at its peak.
Gain total control over your AI performance
The automation features in Zendesk are a great starting point for any team. To add even more precision, eesel AI offers a customizable workflow engine that allows you to specify exactly which ticket types the AI should handle. This lets you grow your automation strategy at your own pace, ensuring every step is backed by positive performance metrics.

Go beyond basic Zendesk advanced AI performance metrics and take control
Tracking your Zendesk advanced AI performance metrics is essential for any modern support team. Zendesk provides a mature, reliable platform with a comprehensive suite of metrics to guide your success. By utilizing its dedicated dashboards and understanding its value-based pricing, you can build a highly effective AI strategy. When you're ready to add more simulation, unified knowledge, or predictive forecasting, complementary tools like eesel AI are there to enhance your existing Zendesk ecosystem.
Ready to see how eesel AI can complement your Zendesk performance? Try eesel AI for free and start optimizing your metrics today.
Frequently asked questions
To gauge effectiveness, focus on automated resolutions as a measure of workload reduction. Also, monitor the escalation rate to identify areas for optimization, and use BSAT to get direct customer feedback on the bot's helpfulness.
You'll find these metrics primarily in the dedicated AI analytics dashboard. The Overview tab provides a high-level view, while the Contact Reasons tab helps you drill down into specific topics and knowledge source performance.
Key considerations include managing tiered pricing plans based on automated resolutions and utilizing dedicated analytics dashboards to connect AI performance with team KPIs. Many teams also find value in iterative testing as they refine their AI setup.
Yes, the deflection rate is a valuable indicator that a conversation was handled without needing a human agent. When paired with BSAT, it provides a comprehensive view of how effectively your AI is resolving customer needs.
A high escalation rate is often an opportunity to expand your knowledge base or refine conversational flows. Focus on unifying all relevant knowledge sources and use analytics from the Contact Reasons tab to identify and refine content for frequently requested topics.
Zendesk provides a robust environment for deploying and monitoring AI changes. For teams looking for additional simulation capabilities, complementary platforms like eesel AI offer simulation modes that allow you to test AI responses on past tickets and predict resolution rates beforehand.
Share this post

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.





