Prototype on Visual Cinnamon

Preferential Polling

Mon, 25 Nov 2019 00:00:00 +0000

Swayable was looking for a way to visualize the results of their “preference polls” on people’s ranked-choice votes for the (democratic) candidates for the 2020 US elections. They perform a simulated instant-runoff election, eliminating candidates with the least support and distributing the vote of each supporter to their next-preference candidate. I created two data visualization prototypes for them, capable of working with new data (new polls) and have a visually distinct look. Swayable has implemented these in internal environments and client meetings, but have also revealed the visuals in a blog post.

alis_ OS

Thu, 31 Jan 2019 00:00:00 +0000

alis_ was looking for a way to visualize the services running on their custom alis_ OS. To reveal if the OS was running well, which tasks were failing. But also to show the dependencies of services having created new services and so on. And to have a clear differentiation between their domains. Finally, the final visual was going to be used both for management and marketing purposes and thus had to be really effective, still look good, and on brand. After a longer design phase to investigate what forms revealed the insights, I developed a custom chart for them to implement as a prototype into their systems.

Culture Mapping

Wed, 19 Dec 2018 00:00:00 +0000

The client, scenarioDNA, has a (patented) data-driven method that addresses the study of people and their ideologies over time. The best way to understand where ideas are going is to see where they live in the context of near neighbors and contrasting ideologies. They had an existing interactive tool that let their users explore the data and insights. However, this tool was perceived as being too dense and complex to understand. ScenarioDNA asked me to create a new version that would hold true to their patented approach, encourage users to explore, and be understandable. I created a fully functional visual prototype, based on their Food & Beverage dataset, and design for the surrounding UX elements.