Analyzing Your Bot

Introduction  The Flow Health dashboard summarizes how well the flows of Virtual Assistant (VA) are performing and shows the coverage of intents and transitions in the bot definition. The Flow Health dashboard displays the overall pass or fail percentage of test cases with options to view the transitions coverage.  The…

Once you’ve created a Feedback Survey for your conversations based on a survey type (NPS, CSAT, or Like/Dislike), it’s important to constantly monitor and analyze the customer responses, feedback survey scores, and trends over a given period. Thus, knowing the survey type scores and the key metrics for respondents, responses,…

Once a virtual assistant is published, it is important to understand and analyze the performance. Kore.ai platform provides various dashboards and one of them being NLP Insights that captures details like Intent Found, Intent Not Found, Unhandled Utterances, etc. However, to categorize the utterances as True Positives (TP), True Negatives…

The Health and Monitoring dashboard offers a goal-driven approach to improving the accuracy of the virtual assistant’s Natural Language Processing (NLP) model. The training data is analyzed along with the test coverage and test results of the test suites to provide insights into the NLP Model’s performance. This dashboard lets…

The dashboard filters are used to filter and view the analytics data for virtual assistants (VAs) on the following dashboards in the ANALYZE section based on the user’s selection(s): Overview Dashboard Conversations Dashboard Users Dashboard Performance Dashboard NLP Insights Conversation Insights Conversations History Conversation Flows To understand the filter criteria…

To look at a specific conversation on the Conversation History Dashboard, select the relevant filters from the filter selection panel and click on the conversation on the dashboard. Learn more.

Conversations include the voice call or chat communication between a virtual assistant and a customer to fulfill a specific task. They can be one of the following types: Interactive: Involves a two-way information (requests and responses) exchange between the virtual assistant and the customer. Non-interactive: Involves one-way information exchange from…

The Conversation History module allows you to review the transcripts of past conversations and label certain conversations for follow-up or further action. The Advanced Conversation Analytics feature provides a more detailed view of the conversation, including events and custom tags, which can help you better understand the interaction between the…

Once you have implemented a virtual assistant, you can gain actionable insights on the type of users it handles including unique, new, and returning users, and the user trends for a given period for different conversation types, conversation statuses, channels, languages, and custom conversational tags on the Users Dashboard. The…