Dashboards are visualizations of datasets. They allow you to filter by key KPIs, easily spot insights and click through to the Analysis page to dive deeper into the data, if necessary.
Dashboards are designed and built by Keatext based on your chosen KPIs. Contact your Keatext client manager to set one up.
Note: The dataset must contain a date field in order for a dashboard to be built.
To access a dashboard, select the dashboard icon on the global navigation at the left of the screen.
At the top of the screen you will see the Record filters. These are chosen by you based on your key KPIs. These filters come from the metadata contained in your upload and mirror the Record filters available on the Analytics page. In this case we are looking at The Body Shop brand products sold online on different websites.
Below the Metadata filters you have the Sentiment filter - Praises, Problems, Suggestions, Questions, and Mentions. You can filter by Sentiment, in any combination you choose. Simply select or deselect the corresponding checkbox.
The sentiment bar below the Sentiment filters shows you the percentage of Comments associated with each Sentiment. This bar will change depending on which Sentiments you choose.
Image and Records Overview
You can include an image, this can be a product, a company logo, or any other image that makes sense for your dataset.
The Records Overview charts the volume of records for a given time period - all time, last two weeks, last month, or last three months. The time period can be chosen from the date filter dropdown at the top of the dashboard.
The Overview table contains the average rating of a chosen field. In our example we chose the online sources where products are sold, but it could be a product or whatever makes sense for your dataset. This table is great for quickly comparing differences in rating.
Top Topic and Opinions Heatmap
This Heatmap charts the intersection of Topic groups and Opinion groups. It displays the number of Comments that contain both a given Topic and a given Opinion. The darker the colour, the higher the Comment volume. To click through to the associated Comment simply click on the number and you will be taken to the Records page. From there you can drill down into the individual Record to see the text and all its metadata. The Heatmap can be expanded to view more results by selecting “Expand” at the top right of the widget.
Top Positive and Top Negative Comments
These two panels contain the top negative and top positive Comments based on the chosen filters. There is a threshold of 3 records. So there must be 4 or more records associated with a Comment for it to appear on this list. You can move to the Analysis page of the app by selecting the graph at the top right of the panel. The filters will be preset. Here you can dive deeper into the data.