Data Discovery is the ultimate tool for unlocking the true potential of your data, which transforms your raw data into visually appealing representations that are both informative and engaging.

Once you grasp the essentials, Data Discovery allows you to redirect your focus to specific areas requiring attention.

The stats table gives an overview of the file’s content, including:

The key content table displays the top three topics and phrases contained within the dataset, based on message frequency. This is a top-level summary of your data and we recommend using Explore for a deep dive into the analysis.

You will also see the AI Summary of your data, which identifies key metrics and top-level insights, giving you a sharable summary that you can present to stakeholders.

Once your data is processed, you will see tabs with various visualizations, each capturing a unique aspect of your data. Here’s an overview:

The Interactive Metadata tab will present a series of charts and diagrams showcasing the metadata associated with your dataset. Depending on the metadata available, you may come across informative pie charts that categorize the data by gender, age, location, NPS rating, and more.

These visuals provide insights into the characteristics and attributes that shape your data, facilitating a better understanding of its composition. Note that a maximum of 12 diagrams will be displayed.

Next, you will be presented with a Sankey diagram that serves as a representation of how sentiment and topics are interconnected. Positioned on the left side, you will find the sentiment, while five selected topics are showcased on the right side.

The lines that connect them allow for a deeper understanding of their relationships. The thickness of each line corresponds to the strength of the relationship, providing insights into the connections within your data.

The next chart is an intuitive treemap that highlights the main topics within your dataset. These topics are arranged based on their frequency within the data, providing a clear indication of their significance.

The more frequently a topic appears, the more prominently it will be displayed on the treemap.

This visualization allows you to easily grasp the relative importance of different topics within your dataset, aiding in identifying trends and patterns.

By creating your own categories, you can focus the model on specific topics, words, and phrases, resulting in more accurate insights.

Your pre-defined Custom Themes can be visualized in Data Discovery, offering a new level of understanding and exploration and the ability to create compelling reports that showcase your findings for sharing actionable insights.

In the final tab, you will find an overview of the emotions expressed within your data. By identifying words that denote a certain emotion, such as "Happiness," "Calm," or "Worry," this visualization offers contextual information to enrich your insights.

Understanding the emotions surrounding various topics and themes can provide deeper insights into people's sentiments, enhancing your understanding of their perspective.