Analyzing Your Bot

This is a place holder link for the virtual assistant health and monitoring dashboard.

This is a placeholder post for the user dashboard new feature.

This is a placeholder post for the Overview Dashboard new feature.

Once a virtual assistant (VA) is published then, there will be n-number of users who will be interacting with it. In such scenarios it becomes essential to monitor the performance of the dashboard so that it could be improved over a period of time.  To understand the performance of a…

Once you have implemented a virtual assistant, it is imperative to be aware of the virtual assistant’s benefits and capabilities by constantly measuring its performance. This can only be done by knowing the key virtual assistant metrics, which is an important aspect and a decisive factor for the business requirement.…

Custom Dashboards allow you to design your own reports and dashboards to meet business needs using a combination of built-in metrics as well as custom KPIs based on user demographic or context information. Custom Dashboards are in addition to the out-of-the-box dashboard reports available in the Bot Builder. See here…

Conversation Flows is a visual representation of the user journeys. The user interactions with the virtual assistants are analyzed by the platform to provide insights into the commonly used intents, paths traversed, and the drop-off points. Note:The Conversation Flow feature is available only for the Published Bots. The Conversation Flows…

Kore.ai Bots Platform provides in-depth insights and metrics on the performance of the virtual assistants. Following are the key features: Bot Summary to get a bird's eye view of all the bot configuration and capabilities in a place. See here for details. From the Usage Metrics section view real-time and…

Kore.ai records and presents all the information as part of the Analyze section. Developers can gain in-depth insights into their bot’s performance at identifying and executing tasks. It lets you view necessary information for user utterances that matched and didn’t match with intents. The Analyze > NLP Metrics section contains…