NeuroTrade
bots aim to maximize profits by making data-driven trading decisions faster than a human trader
NeuroTrade - AI Crypto Trading Bot
Automated software program that uses artificial intelligence and machine learning algorithms to analyze cryptocurrency market trends and execute trades on behalf of users.
Client:
NeuroTrade
Project:
Designing intuitive onboarding, trade execution, and portfolio tracking experiences.
My Role:
Principle Product Designer-
Project Time:
2 weeks
Tools:
Figma, FigJam, Framer
Methodology:
Research & Discovery, Concept & Ideation, Wireframing & User Flow, UI Design & Visualization, Prototyping & Testing, Development Collaboration
DISCOVERY
Reviewed product requirements for MVP
RESEARCH
Conducted competitive analysis of Audi competition
UX DESIGN
Developed user flows and wireframes
UI DESIGN
Created visual design layer for hi-fidelity mockups & prototype
Research & Discovery
Before jumping into any design, it’s crucial that I understand the market, users, and competition.
Market Research
- Study trends in AI-driven trading and crypto markets.
- Identify target users (retail traders, institutional investors, or beginners).
- Analyze regulatory and security concerns related to crypto trading bots.
Competitor Analysis
- Review existing AI trading botsÂ
- Identify gaps and pain points in existing solutions.
User Research & Personas
- Conducted user interviews & surveys with traders.
- Define personas (e.g., Casual Investor, Advanced Trader, AI Enthusiast).
- Map out user pain points:
- Overwhelming UI/UX in complex trading platforms.
- Lack of trust in AI trading decisions.
- High learning curve for beginners.
FigJam User Flow
We conducted qualitative user flow to validate assumptions regarding user problems. The insights gained took precedence and were subsequently integrated with findings from stakeholder insights and competitor analysis.
A low-fidelity (lo-fi) wireframe
Competitor Analysis
Examining the competitors identified by our stakeholders, we initiated an analysis.Â
We analyzed competitors’ user flows and investigated potential actions that users might need to take when interacting with their products.
We identified several common features found in all Tax and FinTech products designed for enterprises.
Building on this insight, we conducted an in-depth analysis to compare their user experience and functionality. No research is truly comprehensive without a qualitative research tool, and that became our next imperative step in the research phase.
Simple Prototype
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About
Experienced and outcome-driven executive with 25 years of innovative involvement in the digital products sector. Skilled in utilizing front-end and diverse prototyping tools for swift sharing and testing of design concepts. A creative mind that values open-mindedness, consistently challenging assumptions to tackle problems from diverse perspectives.
Top Skills
- Figma
- Design Systems
- Design Libraries
- Prototyping
- User-Centric Design
- Artificial Intelligence
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