Finance related Application
Finance related Application
Mobile Trading application for algorithmic strategy management for Indian base traders.
Mobile Trading application for algorithmic strategy management for Indian base traders.
Designed 80+ mobile screens for algorithmic trading strategy management, achieving 42% improved task efficiency and 19% higher user satisfaction through simplified workflows and intuitive mobile-first interactions.
Designed 80+ mobile screens for algorithmic trading strategy management, achieving 42% improved task efficiency and 19% higher user satisfaction through simplified workflows and intuitive mobile-first interactions.
My Role
My Role
UI/UX designer & consultant
UI/UX designer & consultant
Timeline
Timeline
Nov 2024 - Aug 2025
Nov 2024 - Aug 2025
Methods
Methods
UX Research, User Flows, UX and UI Design,
Visual Design, Prototyping, Usability Testing, Dev Handoff
UX Research, User Flows, UX and UI Design,
Visual Design, Prototyping, Usability Testing, Dev Handoff
Overview
Background
Background
QuantXpress is a mobile trading app that lets algorithmic traders start, stop, and manage automated strategies with ease. Desktop platforms had complex workflows that didn't translate well to mobile, so I designed an end-to-end solution that simplified the experience—making it faster, more intuitive, and built for traders on the go.
QuantXpress is a mobile trading app that lets algorithmic traders start, stop, and manage automated strategies with ease. Desktop platforms had complex workflows that didn't translate well to mobile, so I designed an end-to-end solution that simplified the experience—making it faster, more intuitive, and built for traders on the go.
My Contribution
My Contribution
I owned the product design from start to finish—researching trader needs, simplifying complex workflows for mobile, and designing 80+ screens that balanced functionality with ease of use. I worked closely with stakeholders and developers to create a seamless experience across devices, from initial concepts to successful launch.
I owned the product design from start to finish—researching trader needs, simplifying complex workflows for mobile, and designing 80+ screens that balanced functionality with ease of use. I worked closely with stakeholders and developers to create a seamless experience across devices, from initial concepts to successful launch.
Process & Project Timeline
Process & Project Timeline
Challenge
Challenge
Translating desktop trading workflows to mobile meant fitting multiple monitors' worth of data—live prices, charts, strategy controls—onto a small screen without overwhelming users. Traders needed to act fast, so every interaction had to be instant and friction-free. All while ensuring smooth performance across different devices and network conditions.
Translating desktop trading workflows to mobile meant fitting multiple monitors' worth of data—live prices, charts, strategy controls—onto a small screen without overwhelming users. Traders needed to act fast, so every interaction had to be instant and friction-free. All while ensuring smooth performance across different devices and network conditions.
Solutions
Solutions
I streamlined the experience by showing only essential data upfront and hiding complexity behind intuitive controls. User testing helped me prioritize what traders needed immediately—then I designed quick gestures and one-tap actions so they could execute trades fast. Throughout, I worked closely with developers to ensure the design was both elegant and technically solid, balancing ambitious ideas with real-world performance constraints.
I streamlined the experience by showing only essential data upfront and hiding complexity behind intuitive controls. User testing helped me prioritize what traders needed immediately—then I designed quick gestures and one-tap actions so they could execute trades fast. Throughout, I worked closely with developers to ensure the design was both elegant and technically solid, balancing ambitious ideas with real-world performance constraints.
Framework
Framework
Key Results
Key Results
42%
42%
Improved task efficiency
Improved task efficiency
19%
19%
Improved user satisfaction
Improved user satisfaction
Improved real-time data visibility and clarity.
Improved real-time data visibility and clarity.
Research
The business needed to expand mobile adoption and reduce desktop dependency while attracting new traders. From a design perspective, this meant creating an intuitive mobile experience that simplified complex workflows, enabled traders to take action independently without needing desktop access, ensured clear real-time data visualization, and optimized touch interactions for quick strategy management—all while staying accessible across devices.
The business needed to expand mobile adoption and reduce desktop dependency while attracting new traders. From a design perspective, this meant creating an intuitive mobile experience that simplified complex workflows, enabled traders to take action independently without needing desktop access, ensured clear real-time data visualization, and optimized touch interactions for quick strategy management—all while staying accessible across devices.
Secondary Research
Secondary Research
I interviewed 18 algorithmic traders to uncover mobile pain points. Key insight: they wanted desktop power in their pocket but struggled with cluttered interfaces, slow performance, and low confidence executing trades on small screens.
I interviewed 18 algorithmic traders to uncover mobile pain points. Key insight: they wanted desktop power in their pocket but struggled with cluttered interfaces, slow performance, and low confidence executing trades on small screens.
Primary Research
Primary Research
I analyzed competitor trading apps and reviewed industry reports on mobile trading behavior. Most platforms either oversimplified (losing key features) or crammed desktop interfaces onto mobile (creating confusion). Research showed that 70% of retail traders now check portfolios on mobile, but only 35% feel confident executing complex trades without switching to desktop. This gap validated the need for a truly mobile-optimized solution that didn't compromise on functionality.
I analyzed competitor trading apps and reviewed industry reports on mobile trading behavior. Most platforms either oversimplified (losing key features) or crammed desktop interfaces onto mobile (creating confusion). Research showed that 70% of retail traders now check portfolios on mobile, but only 35% feel confident executing complex trades without switching to desktop. This gap validated the need for a truly mobile-optimized solution that didn't compromise on functionality.
Key Findings
Key Findings
Speed is critical
Traders needed to execute actions in under 3 seconds. Any delay meant missed opportunities and lost trust in the platform.
Information overload kills confidence
Users felt overwhelmed by cluttered screens with too many options. They wanted to see only what mattered for their current task.
Desktop parity isn't necessary
Traders didn't need every desktop feature on mobile. They prioritized core actions like starting/stopping strategies and monitoring performance over advanced analytics.
One-handed use matters
Most traders checked their portfolios during commutes or breaks. The interface needed to work comfortably with thumb navigation.
Trust through transparency
Users wanted clear confirmation of actions and real-time status updates. Uncertainty about whether a trade executed properly was their biggest fear.
Evaluation & Iteration
Wireframes
I started with low-fidelity wireframes, testing 15-20 iterations with traders to validate information hierarchy and user flows. This helped us understand what worked before moving to high-fidelity prototypes for usability testing with realistic data and interactions.
Comprehensive Design System
To scale the design, I built a comprehensive design system with semantic colors for trade states, 250+ handcrafted icons, typography optimized for mobile, and reusable mobile and web components. This ensured consistency and made handoff smoother. for engineering collaboration, I documented specs in Figma and collaborated closely with developers throughout implementation, iterating based on technical feedback.
Final designs
I prepared an advanced prototype designed for usability testing and conducted remote usability tests with algorithmic traders. The sessions revealed specific pain points—like confusing navigation for switching between strategies and unclear confirmation states after executing trades. I iterated on these findings, refining the flows and adding clearer feedback mechanisms. Once validated, I delivered the final product specifications to the engineering team with detailed documentation, ensuring smooth implementation from design to development.
Key Results
Strong user acquisition demonstrating successful market penetration
42%
improvement in task completion efficiency through streamlined workflows
19%
increase in user satisfaction based on post-launch feedback and testing
80+
80+ screens designed from scratch with full desktop feature parity
If I have more time, I could
I would love to dive deeper into AI-driven personalization that adapts the interface based on individual trading patterns, essentially creating a trading app that gets smarter the more you use it. Additionally, I'd explore advanced analytics features with predictive insights and trend forecasting to help traders make more informed decisions.
What I learned
Turns out traders are surprisingly impatient humans who want everything yesterday – and honestly, fair enough when money's on the line! I discovered that showing less information actually made them happier (who knew that "more is more" doesn't apply to mobile trading interfaces). The biggest lightbulb moment was realizing that my carefully crafted desktop workflows were about as useful on mobile as a chocolate teapot, forcing me to completely rethink information hierarchy and interaction patterns.
Finance related Application
Mobile Trading application for algorithmic strategy management for Indian base traders.
Designed 80+ mobile screens for algorithmic trading strategy management, achieving 42% improved task efficiency and 19% higher user satisfaction through simplified workflows and intuitive mobile-first interactions.
My Role
UI/UX designer & consultant
Timeline
Nov 2024 - Aug 2025
Methods
UX Research, User Flows, UX and UI Design,
Visual Design, Prototyping, Usability Testing, Dev
Handoff
Siddhesh B.
Siddhesh B.
Thank you for visit, It's means a lot for me..!
Thank you for visit, It's means a lot for me..!
Stay happy, Stay safe,
Stay happy, Stay safe,
Stay with love one's.
Stay with love one's.
CC. Siddhesh belhekar 2025
CC. Siddhesh belhekar 2025
Evaluation & Iteration
Wireframes
I started with low-fidelity wireframes, testing 15-20 iterations with traders to validate information hierarchy and user flows. This helped us understand what worked before moving to high-fidelity prototypes for usability testing with realistic data and interactions.
Comprehensive Design System
To scale the design, I built a comprehensive design system with semantic colors for trade states, 250+ handcrafted icons, typography optimized for mobile, and reusable mobile and web components. This ensured consistency and made handoff smoother. for engineering collaboration, I documented specs in Figma and collaborated closely with developers throughout implementation, iterating based on technical feedback.
Final designs
I prepared an advanced prototype designed for usability testing and conducted remote usability tests with algorithmic traders. The sessions revealed specific pain points—like confusing navigation for switching between strategies and unclear confirmation states after executing trades. I iterated on these findings, refining the flows and adding clearer feedback mechanisms. Once validated, I delivered the final product specifications to the engineering team with detailed documentation, ensuring smooth implementation from design to development.
Key Results
Strong user acquisition demonstrating successful market penetration
42%
improvement in task completion efficiency through streamlined workflows
19%
increase in user satisfaction based on post-launch feedback and testing
80+
80+ screens designed from scratch with full desktop feature parity
If I have more time, I could
I would love to dive deeper into AI-driven personalization that adapts the interface based on individual trading patterns, essentially creating a trading app that gets smarter the more you use it. Additionally, I'd explore advanced analytics features with predictive insights and trend forecasting to help traders make more informed decisions.
What I learned
Turns out traders are surprisingly impatient humans who want everything yesterday – and honestly, fair enough when money's on the line! I discovered that showing less information actually made them happier (who knew that "more is more" doesn't apply to mobile trading interfaces). The biggest lightbulb moment was realizing that my carefully crafted desktop workflows were about as useful on mobile as a chocolate teapot, forcing me to completely rethink information hierarchy and interaction patterns.
Next Project
Next Project
Overview
Background
QuantXpress is a mobile trading app that lets algorithmic traders start, stop, and manage automated strategies with ease. Desktop platforms had complex workflows that didn't translate well to mobile, so I designed an end-to-end solution that simplified the experience—making it faster, more intuitive, and built for traders on the go.
My Contribution
I owned the product design from start to finish—researching trader needs, simplifying complex workflows for mobile, and designing 80+ screens that balanced functionality with ease of use. I worked closely with stakeholders and developers to create a seamless experience across devices, from initial concepts to successful launch.
Process & Project Timeline
Challenge
Translating desktop trading workflows to mobile meant fitting multiple monitors' worth of data—live prices, charts, strategy controls—onto a small screen without overwhelming users. Traders needed to act fast, so every interaction had to be instant and friction-free. All while ensuring smooth performance across different devices and network conditions.
Solutions
I streamlined the experience by showing only essential data upfront and hiding complexity behind intuitive controls. User testing helped me prioritize what traders needed immediately—then I designed quick gestures and one-tap actions so they could execute trades fast. Throughout, I worked closely with developers to ensure the design was both elegant and technically solid, balancing ambitious ideas with real-world performance constraints.
Framework
Key Results
42%
Improved task efficiency
19%
Improved user satisfaction
Improved real-time data visibility and clarity.
Research
The business needed to expand mobile adoption and reduce desktop dependency while attracting new traders. From a design perspective, this meant creating an intuitive mobile experience that simplified complex workflows, enabled traders to take action independently without needing desktop access, ensured clear real-time data visualization, and optimized touch interactions for quick strategy management—all while staying accessible across devices.
Secondary Research
I interviewed 18 algorithmic traders to uncover mobile pain points. Key insight: they wanted desktop power in their pocket but struggled with cluttered interfaces, slow performance, and low confidence executing trades on small screens.
Primary Research
I analyzed competitor trading apps and reviewed industry reports on mobile trading behavior. Most platforms either oversimplified (losing key features) or crammed desktop interfaces onto mobile (creating confusion). Research showed that 70% of retail traders now check portfolios on mobile, but only 35% feel confident executing complex trades without switching to desktop. This gap validated the need for a truly mobile-optimized solution that didn't compromise on functionality.
Key Findings
Speed is critical
Traders needed to execute actions in under 3 seconds. Any delay meant missed opportunities and lost trust in the platform.
Information overload kills confidence
Users felt overwhelmed by cluttered screens with too many options. They wanted to see only what mattered for their current task.
One-handed use matters
Most traders checked their portfolios during commutes or breaks. The interface needed to work comfortably with thumb navigation.
Trust through
transparency
Users wanted clear confirmation of actions and real-time status updates. Uncertainty about whether a trade executed properly was their biggest fear.
Desktop parity isn't necessary
Traders didn't need every desktop feature on mobile. They prioritized core actions like starting/stopping strategies and monitoring performance over advanced analytics.
Evaluation & Iteration
Wireframes
I started with low-fidelity wireframes, testing 15-20 iterations with traders to validate information hierarchy and user flows. This helped us understand what worked before moving to high-fidelity prototypes for usability testing with realistic data and interactions.
Comprehensive Design System
To scale the design, I built a comprehensive design system with semantic colors for trade states, 250+ handcrafted icons, typography optimized for mobile, and reusable mobile and web components. This ensured consistency and made handoff smoother. for engineering collaboration, I documented specs in Figma and collaborated closely with developers throughout implementation, iterating based on technical feedback.
Final designs
I prepared an advanced prototype designed for usability testing and conducted remote usability tests with algorithmic traders. The sessions revealed specific pain points—like confusing navigation for switching between strategies and unclear confirmation states after executing trades. I iterated on these findings, refining the flows and adding clearer feedback mechanisms. Once validated, I delivered the final product specifications to the engineering team with detailed documentation, ensuring smooth implementation from design to development.
Key Results
Strong user acquisition demonstrating successful market penetration
42%
improvement in task completion efficiency through streamlined workflows
19%
increase in user satisfaction based on post-launch feedback and testing
80+
80+ screens designed from scratch with full desktop feature parity
If I have more time, I could
I would love to dive deeper into AI-driven personalization that adapts the interface based on individual trading patterns, essentially creating a trading app that gets smarter the more you use it. Additionally, I'd explore advanced analytics features with predictive insights and trend forecasting to help traders make more informed decisions.
What I learned
Turns out traders are surprisingly impatient humans who want everything yesterday – and honestly, fair enough when money's on the line! I discovered that showing less information actually made them happier (who knew that "more is more" doesn't apply to mobile trading interfaces). The biggest lightbulb moment was realizing that my carefully crafted desktop workflows were about as useful on mobile as a chocolate teapot, forcing me to completely rethink information hierarchy and interaction patterns.