How might we create an analytics-driven newsfeed that lets US Army users easily filter, curate & engage with relevant articles?
How might we create an analytics-driven newsfeed that lets US Army users easily filter, curate & engage with relevant articles?
GEODE:
G2 Enterprise OE Discovery Engine
GEODE:
G2 Enterprise OE Discovery Engine
GEODE, short for the G2 Enterprise OE Discovery Engine, is an article curation tool built for the TRADOC G2. Set up like a newsfeed, it uses advanced analytics to bring relevant information right to the US Army users.
With GEODE, users can customize their feeds to fit their interests, filtering articles by trends, topics, and insights. They can also curate their newsfeed, leave comments, mark favorites, and share articles.
Client
Sector
Agency
Challenge
GEODE users need a way to quickly filter, curate, and engage with relevant articles in a personalized newsfeed that leverages advanced analytics.
My Role(s)
Product Design, Prototyping & Animation
Project Objective
GEODE began with a simple concept, but extremely complex details: A news article feed that uses advanced algorithms to curate those results to very specific users: army intelligence agents.
1️⃣ Curate news articles
2️⃣ Find relevant articles through advanced filter options
3️⃣ Craft insights and distill relevant data
research & design
👯♀️ DESIGN TEAM
Following the initial wireframes that Ryan O’Donnell created after extensive client requirements gathering, Jacob and I worked on refining final mockups and solving navigation, filtering, search, data visualization and user customization.
filtering that feed
In the tool, users have their own fully customizable feeds – articles and topics curated to their personalized interests and search habits. We worked with very talented engineers who developed extremely sophisticated algorithms for article curation, Patrick Cox and Chris Hassebrook. 🤖
advanced search & insights
We developed robust search and filtering options. 🔍
Users could search and filter articles for terms, images and videos. We also developed side drawers for insights and timeline views as well, which pulled relevant data such as key people, topics, and labels featured in that article (or image or video.)
Also, Jake illustrated that cute little astronaut waiting for an article to be selected. 🌠
location-based articles & sources
Users could also find articles based on geotags, through a map view, and filter based on whether the article is about that location, published from that location, or both. 🗺️
From the map overview, they can open a quick article preview panel or access the full article page.
& animation!
One last thing! I got to exercise my animation skills with this one – Ryan tasked me with creating a loading icon for the app, used when waiting on search results or when refreshing a page. I really enjoyed this one. 💎
