UX on data science visualization – MindProber vision (part I)
Andreia Ribeiro | October 15, 2018
How to develop MindProber dashboard to create a simple and intuitive platform, where the data could be read and analyzed by both, marketing and research teams? Well, the challenge was ambitious:
1. to develop a dashboard that allows the client to create and launch studies autonomously;
2. to design a platform where the data could be easily read and interpreted, through specific graphs, for each type of metric.
With this in mind, all process was focused on one idea – simplicity.
By creating a MindProber account, the client access to MindProber Dashboard and can readily create, customize and launch new studies, as well as view the results that have been released. The results are presented in an interactive report, that allows the customer to explore and analyze the data in detail.
The report of each study is divided into two main sections “Time Analysis” and “Questionnaires“. This division was considered essential since the sections treat different phases of the study. The Time Analysis refers to the data (biometric and declarative) collected during the visualization while the questionnaire section refers to the questionnaire to be completed after content visualization. In the case of “Ad testing” or “Ab / Testing”, there is an “Overall Summary” section which presents the metrics of the other two sections in a summarized form, where it is possible to compare the results with industry benchmarks.
For each section, there are different graphs and patterns of interactivity that represent the metrics under analysis.
If you want to know more, keep following us, on the next post which will explain how a great design can simplify the reading of data on the principal sections of MindProber reports – Time Analysis and Questionnaires.
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