📣 Samurai Release: AI Summary

In the ever-evolving landscape of QA, time is of the essence. QA raters and Team Leads are tasked with the crucial responsibility of assessing cases, understanding their context, and providing valuable feedback. However, the sheer volume of cases can often be overwhelming, leading to time constraints and potential information overload.

But fear not! The solution has arrived in the form of the AI Summary for tickets 🤖

The AI Summary for cases is a valuable feature that enables users to quickly grasp the essence of a ticket without the need to delve into its entirety immediately. By condensing the key information into a concise summary, this feature empowers QA raters and the Team Leads with a comprehensive overview, saving them valuable time and effort.

❗️It is important to first, enable the feature through the Kaizo Settings -> Samurai. More about this can be found in this Help Center article.  

🧐 How to use this feature?

When you open the case view within Kaizo, you will notice a small toggle on the top bar that allows you to load the ticket summary with just one click!

After reviewing the Summary, click the toggle again to hide the case Summary! 

🚨 Let us know if the case was summarized correctly by rating the summary right inside Kaizo! Hover your mouse above the summary and select whether the information looks correct.

⭐️ Advantages of using the AI Summary of the case

• Saves valuable time for QA raters by providing a quick overview of the case without the need for extensive reading.
• Together with the Customer Sentiment and Agent Empathy Score metrics, as well as the Performance metrics within the case view, AI Summary helps to understand and prioritize important cases and provide insightful and detailed feedback to the agent
• Enables prioritization of work by allowing raters to assess which tickets require immediate attention based on the summarized content.
• Fosters consistency in evaluation by presenting core information concisely, ensuring a uniform approach, and minimizing potential biases.
• Facilitates collaboration among teams by serving as a knowledge-sharing tool, enabling the efficient exchange of information and enhancing teamwork.
• Acts as a reference point during discussions and meetings, allowing raters to quickly refresh their understanding and contribute effectively based on accurate and relevant information.

If you want to focus specifically on cases related to the support channel, metric result, or case type based on tags, we invite you to check out our Case Filtering feature!