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Brief / Define and design a new business intelligence product for investors
Year / 2019
Expertise / Strategy, Design
Deliverables / Product & UX design
Horizon is an AI-powered equity and debt portfolio management platform offering real-time analytics and unrivaled transparency into portfolio companies’ performance. AI-driven functionality not a part of day 1 release and under NDA.
Problem
How can the next generation of investors improve their decision making using readily available data?
Problem
How can the next generation of investors improve their decision making using readily available data?
How it works
It's easier than ever in the API economy for stakeholders to access data feeds.
Design and Research
Overview of a LEAN process
A clickable, non-functional prototype, provided a thorough sense of assumptions had been done and helped identify areas of comlexity.
We began sketching this out like so.
THE RESULT
A pre-mvp product team of digital nomads were looking for UX and product advisory to solve their own problem: how can we find people and activities to do them with in the post-craigslist era? Futhermore how does a user experience support adoption for in a space where people are already accustomed to finding activities through Facebook or Airbnb?
Challenge
A pre-mvp product team of digital nomads were looking for UX and product advisory to solve their own problem: how can we find people and activities to do them with in the post-craigslist era? Futhermore how does a user experience support adoption for in a space where people are already accustomed to finding activities through Facebook or Airbnb?
Challenge
I was tasked with creating the structure, information architecture, and the visual design of the website. One of the design challenges was that our target audience and their needs were just about as diverse as one could imagine.
A given user could be looking for information about a museum, a restaurant, a place to stay for their visit, or even a good place for a stroll in the forest. We quickly recognized that since the site’s users would often be literally mobile—out and about, exploring the town—the mobile version of the site had to be a top priority, as well as the usual suspects: speed, accessibility, and discoverability.
THE RESULT
Rather than having traditional position-based filters like “Restaurants,” “Theaters,” or “Nature,” we experimented with feelings and activities. This lead to filtering events and places based on things like “Laughter” or “Eating.” Selecting “Eating” would deliver the expected restaurant choices, of course, but it also might suggest you pack a picnic basket and have lunch out in the open
