Analytics

Analytics



For every recording, you'll find an 'Analytics' tab where you can see the metrics for your conversation. Easily filter these by selecting the 'Everyone' filter on the top right and selecting either just your team members or other people in the call. Speakers must be assigned for this.
This article will explain each Analytic.


Topics

Topics are a way to extend the insights the Versational  AI-Models can identify in conversations and interactions. Users may want to identify certain domain-specific patterns from their meetings. Topics and associated keywords help users to customise the AI-models to their specific needs. Versational AI-Models use context trackers with the topics to ensure that relevant segments and insights for the topics are extracted from conversations.  It goes beyond simple keyword search. 

 

For example, using Topics, users can use Versational to identify what was missing from a conversation. Versational will highlight what was not covered from the list of topics. This is particularly useful in Compliance-related industries.





Sentiment

Sentiment uses natural language processing, text analysis and computational linguistics to determine the feeling of each person's word choice inside of a transcript. It lies on a scale of -1 to 1, with -1 being extremely negative and 1 being extremely positive.

The top number of +.09 above will show the average sentiment for the conversation, slightly above neutral. The chart below will show it over time by speaker. You can easily see which moments evoked a positive response and which evoked a negative response from attendees. See average sentiment by attendee below and select their names to show or hide their sentiment on the chart.

The timeline below also shows a heatmap of sentiment by person, with red as negative and green as positive. Gray means no data. Click anywhere on the timeline to go to that spot in the recording to see what happened.



Keywords

The word cloud under Keywords is a visual representation of how frequently the keywords occur in a meeting. The words appear in different sizes and colours based on their frequency and importance in the particular conversation. In a word cloud, the more frequently a word appears in the source conversation, the larger and more prominent it will be in the cloud.

Here’s how you can benefit from our word cloud:
Data Visualization: Word clouds offer a quick and visually appealing way to summarize and represent the highlights of the conversation. They condense large amounts of information into a concise and easy-to-understand visual format.

Identifying Key Themes: By displaying words based on their frequency, word clouds can help identify the most common themes, topics, or keywords in the conversation, making it easier to grasp the main points.

Quick Analysis: Word clouds allow for rapid analysis and insights into the content of a meeting, saving time compared to reading the entire transcription.



Longest Monologue

Longest Monologue will let you know the five longest times where one person spoke in the recording. It shows you who spoke each monologue and display where it happened on the timeline. Easily click on these like you would with keywords to see the text in the transcript.




Talk Percentage

Talk percentage will tell you the percentage of time each person spoke in the recording. This can help you to understand if you are letting a customer talk enough. You can also set goals on how much you want to talk on average.










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