Zendesk Explore Dataset for AI Agent Tools
What is the new Zendesk Explore dataset for generative AI agent tools?
Zendesk has introduced a new dataset specifically for generative AI agent tools. This dataset, along with a prebuilt dashboard, allows admins to analyze how agents are using AI tools like summarize, expand, and tone shift. It helps correlate these tools' usage with key metrics such as resolution time, customer satisfaction (CSAT), and requester wait time. This is part of Zendesk's effort to provide insights into the effectiveness and adoption of AI tools in customer support operations. For more details, you can check the original announcementhere.
More related questions
Why did Zendesk introduce the generative AI agent tools dataset?
Zendesk introduced the generative AI agent tools dataset to help measure the impact of AI tools and ensure their adoption by agents. This dataset and its dashboard are designed to assist customers from the initial trial phase to long-term use,…
How can I access and use the new Zendesk AI tools dataset?
If you've enabled the generative AI agent features, you'll see the new dashboard starting from the rollout date. Customers with Explore Professional or Enterprise can create custom reports, clone the prebuilt dashboard, and make other…
What should I do if I have feedback or questions about the new Zendesk dataset?
If you have feedback or questions regarding the new Zendesk dataset, you can visit the community forum where Zendesk collects and manages customer product feedback. For general assistance with Zendesk products, you can contact Zendesk Customer…
What are the benefits of using Zendesk's prebuilt dashboard for AI tools?
The prebuilt dashboard for Zendesk's AI tools offers several benefits, including the ability to drill into agent utilization and correlate the impact of AI tools on key metrics. This helps businesses understand how tools like summarize, expand, and…
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“It now resolves 71% of queries (over 35,000 every month), meaning more time solving complex issues and improving UX.”
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