Nobiasfinance
my role
UX Researcher
Feature Ideation
project timeline
2 months
(May 2023-July 2023)
company
Nobias
Problem Statement
In a world with so much information to look at, overwhelming resources, and countless data, what can we do to protect consumers from deceptive or misleading content on the internet?
How can we use machine learning to help retail consumers navigate content online by giving them institutional-level information on Bias, Credibility and Context?
User Research
What do the users need in the current market?
A helping hand (reliable source)
What would make this product unique?
Cater to all user groups (not just stock enthusiasts)
What might we do to achieve a balanced news + analytics app?
Learning, Engagement and Information
User Experience
Design Process
Early design ideas
Homepage
Search
Joining a challenge
Ongoing challenge
Stock performance
News and info
Favorite and top Authors
Categories
Filters
Industry categories (12)
Top / Fav Analysts
Learning
News
Screeners
News list
Analyst and rating
Date / Time of Publish
Views
Filters to personalize
News
News headline
Detailed summary
Price targets
Illustration / graph
Predictions to call actions
Mid fidelity
Homepage
Learning
Word of the Day to empower users
Credible News based on favorite Authors
Engagement
Daily and Monthly Challenges,
Pop Screeners and filters for easier personalization
Informed
Analytics to back your learnings,
Ratings and Reviews, historical data, nature of stock
profile pages
Profile - Dashboard
Profile - Progress
Profile - Categories
Profile - Suggestions
Learning
Users would be popped up with learning prompts to enhance their knowledge about everyday terms in the stock market, understanding market sentiments, and quizzes about the world economy, market trends and patterns.
Search Pages
Search - Stocks
Stock screeners based on categories, info about stocks and Bullish / Bearish nature of stocks
Search - News
News Screeners for categories, filters for sorting, news published
Search - Authors
Authors and their credibility, ratings and reviews
News & predictions
Stock analysis & authors
Stock pages would show more information about the stock - sector, cap, core, and risk level. This would help you in deepening your stock knowledge and create awareness about a diverse group of stocks.
Showing a bullish and bearish nature rated by credible sources would be generated through back-end AI models. Further analysis is summarized for each stock for users to understand and compare the financials.
Stock & Authors
Stock results with authors would further show you articles by credible and favorite authors.
Stock & Analysis
Stock results with analysis would deepen your learning about company financials and terminology
Stock & News
Stock results with news would allow you to follow trends, news and historical alignment with what authors said. These charts would deepen the understanding of users on stock price movements to what analysts predicted to remove any bias.
Author
Follow the top ranked author or personalize it to show your favorite authors and their articles along with credibility and ratings.
Nobias Challenge
The challenge to test your skills:
Timeline
Daily
Quarterly
Categories to build your team (customizable)
Large cap
Mid cap
Penny stocks
Sectors (Tech, pharma, finance, retail)
Authors (Accuracy)
Index (S&P 500, Nifty)
Metal (Gold, Silver)
Set your team
The team is ready
Play your A-game
Switch based on new analytics
Swap stocks and let a few warm your bench.
Awards are given daily and quarterly.