Vault Dashboard

The Weekly Subscription Dashboard was designed for History Vault. The brief was to design a data visualisation interface to monitor the trials initiated and no. of active subscribers on the streaming platform. The users for this product were generally mid-senior level managers responsible for keeping track of trials and conversion of users on various operating systems.

The Purpose of the Dashboard was to

  1. Monitor for every operating system
  2. Monitor conversion of free trial users to paid subscription every week
  3. Monitor the sustain rate of paid subscribers

From the UX perspective, the user needs were as follows

  1. More information, no more than two pages
  2. Easy understanding of the information
  3. Make important information stand out
  4. Allow easy interactions

One of the user’s wants was to have as much information possible in a single view. They also don’t wish to navigate through various pages to go through the information. The top KPIs were the no. of active paid subscribers and the trials initiated. Keeping this information in mind, I decided to come up with a solution that has a sticky interface, i.e. not making the user feel that they are navigating through various pages. I also decided to keep the interactions intuitive and minimal. With regards to the publishing of information on a single page, I decided to provide a progressive disclosure using minimum interactions so that the user is not overwhelmed by the available information on a single page. One of the additions that I thought was to provide a visual aid to understand the context of the numbers within the page, and hence provided a simple user journey of a subscriber to make better sense of the metrics.

The idea was to retain the brand colours whilst ensuring the dashboard looks subtle and the colours don’t obfuscate the information. One of important things to keep in mind was the No. of Trials initiated. It was one of the most actionable data point and with the numbers being comparatively low to other figures it needed to pop-out.

Poppins is a geometric sans serif typeface that neatly complements the geometric shapes of the charts. The monolinear letterforms maintains an evenness to the text allowing to communicate the message effeciently. Roboto was used mainly for data labels to make it easy to read complex data.

The KPIs were deliberately kept at a much larger size as compared to other texts in order to grab immediate attention.