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AI-Powered Market Trading Platform

QuantFrame

Role

Product Designer, UX Researcher

Skills

User Research, Product Strategy, Data Visualization

Tools

Figma, Miro, React, Python

Timeline

6 Months

QuantFrame Data Visualization Platform

Overview

Redefining the Trading Experience.

QuantFrame is an innovative data visualization platform that transforms complex quantitative information into intuitive, actionable insights. I worked with a small stealth startup as the lead product designer, driving user research, product strategy, and design.

Due to the confidential nature of this project, I can't share specific details about the technology, target market, and implementation. But I will be able to share a bit about my process.

Problem

Independent traders struggle to extract meaningful insights from complex quantitative data due to poor visualization and analysis tools.

The challenge was to design a platform that could handle sophisticated data processing while presenting information in an accessible, intuitive way.




Research

I began with user research and stakeholder interviews, focusing on technical traders.

Complex systems and the concept of 'infinite data' needs to be broken down into digestible insights

Key Pain Points Identified

Ideation

I first defined goals for the interface. to create a simplified tool, using AI to aid in deciphering trading signals and optimize algorithms. I created a site map to clarify flows, later abstracted for confidentiality.

QuantFrame Site Map

Design

Design Approach

QuantFrame Design Process

Final Thoughts

Learnings...

Working with a startup helped me learn a lot about expedited research, rapid prototyping and how strategy shifts so often in a fast-paced environment. Balancing design and technical implementation helped me understand how feasibility constraints impact design decisions, and even business direction.

With more time...

I would have loved to conduct more extensive user testing, which was very difficult since our users are difficult to reach, and finance is generally a very private industry. I would also have explored more advanced data visualization techniques and machine learning integration.

Confidential Project

This project was completed for a small stealth startup under confidentiality agreements. Specific details about the technology, implementation, and business context can't be shared.

If you have any questions about this project, feel free to send me an email at anikabhagavatula@berkeley.edu

Overview
Problem
Research
Ideation
Design
Implementation
Reflection
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