Background
State Street asked Digital Ventures to develop a product to solve for the pain points and frictions for Chief Risk Officers and Chief Investment Officers.
The Problem
CROs and CIOs need to constantly assess the news for potential impact on the portfolios they manage. For example, an outbreak of Zika Virus near a textile plant that provides socks for Nike could have an impact on that stock. With so many possible news sources and orders of impact, anticipating exposure to risk is an overwhelming task.
The Solution
The solution was Pharos, a new interface for risk professionals to scan and dive deep into information from thousands of external and internal sources (e.g. sell-side, buy-side, social media, news).
Pharos summarizes reports from risk analysis sources sources, news feeds and online articles to contextualize the impact of new information on a portfolio.
In essence, Pharos reads the news for a CRO/CIO and calculates possible exposure for stocks.
The Process
The goal of the project was define the features and create a proof of concept that Pharos could work. To start, we needed to create an interface that would make intuitive sense to a busy professional.
Sketches
To create an intuitive interface, I sketched several different interaction models.




User Flow
The user flow was designed around vertical and horizontal scrolling. Scrolling vertically would allow the user to probe deeper into a topic while scrolling to the left or right would show adjacent content.

UI Design
Once the interaction model and user flow was determined, I created the UI designs that would go into the final prototype. The visual style was based in part on State Street’s branding.




Prototype
The video below shows the prototype flow we demonstrated at our final product definition meeting.
Results
At the time I left the project (paternity leave), Pharos was beginning the incubation phase of work. The team had discovered over a series of tests how to create a minimum viable product through the use of augmented intelligence. The AI that was finding the correlations between news events and stocks was still in the mix, but a human risk analyst looked through those correlations and completed the analysis. The result follows a trend in human augmentation rather than relying fully on artificial intelligence algorithms.