Designed an internal-facing banking analytics tool that simplified complex data visualizations and optimized workflows for operational teams. Improved data clarity and decision-making efficiency through research-driven UX design.
Project TypeEnterprise SaaS, Data Visualization UX, FinTech, Internal Tool Design, UX Research & Workflow Optimization
My RoleUX Designer (Research, Wireframing, Prototyping, Testing)
Tools UsedFigma, InVision, Sketch, Phoenix Design System
This project is confidential. Visuals and internal data cannot be publicly shared. Please contact me for more information.
The Banking Visibility Application (BVA) was developed to support internal banking teams in making faster, more informed decisions through clear data visualization and streamlined workflows. I led the end-to-end UX design to ensure the tool was intuitive, scalable, and aligned with both user needs and business objectives.
The Challenge
✘ Complex and cluttered data visualizations were hindering comprehension and slowing down decisions. ✘ Operational workflows were inconsistent and inefficient. ✘ Stakeholders lacked a clear link between UI design and business KPIs.
The Goal
✔ Translate raw data into user-friendly visualizations to support timely decision-making. ✔ Redesign workflows for greater speed and operational efficiency. ✔ Align design outcomes with measurable business goals.
My UX Process & Approach
Research & User Understanding
Conducted user interviews and stakeholder workshops to understand pain points and expectations.
Mapped existing workflows and identified bottlenecks across departments.
Synthesized findings into personas and task flows to guide ideation.
Wireframing & Prototyping
Created low-fidelity wireframes to explore layout and data hierarchy.
Designed high-fidelity prototypes with interactive dashboards tailored to user roles.
Prioritized modular design for potential reuse and scalability across teams.
Design System Integration (Phoenix Framework)
Utilized the Phoenix Design System to maintain visual consistency and scalability across the application.
Customized components for dashboard-specific needs including filters, charts, and user role variations.
Partnered with developers to ensure component behavior matched interaction expectations across breakpoints.
Documented usage guidelines for future design iterations and system expansion.
Usability Testing & Iteration
Facilitated testing sessions with internal analysts and operational leads.
Gathered feedback on clarity, speed of access, and interaction flows.
Iterated on visual hierarchy, filters, and navigation to reduce friction and cognitive load.
Final Outcome & Impact
✔ Improved data comprehension and visibility across teams through clearer visual layouts. ✔ Reduced average workflow completion time by 25%, increasing productivity and responsiveness. ✔ Enabled faster decision-making for internal operations through well-structured, actionable dashboards. ✔ Delivered a scalable internal tool that can support additional use cases and datasets over time.
Key Takeaways & Learnings
✔ Data visualization must be paired with user empathy and real-world testing to deliver clarity. ✔ Business alignment is not an afterthought—it’s a core UX principle in enterprise settings. ✔ Early stakeholder collaboration accelerates design adoption and long-term success.
Designed an instructional video to improve adoption and usability of Erica—Bank of America’s AI assistant—by educating internal users with structured content and interactive visuals aligned with conversational UX best practices.
Project TypeUX for AI, User Education & Onboarding, Interaction Design, Instructional Media, Conversational UX Support
My RoleUX Designer (Content Structuring, Interaction Design, User Education)
This project is confidential. Visuals and internal data cannot be publicly shared. Please contact me for more information.
Erica, Bank of America’s AI-powered assistant, surpassed 2 billion interactions, but internal associates were underutilizing its capabilities due to lack of clear, engaging training materials. I was tasked with designing an instructional video to drive adoption, educate associates, and align with Erica’s conversational UX patterns.
This project combined elements of interaction design, content structuring, and video production to create a scalable training solution that humanized the AI experience for employees.
The Challenge
✘ Associates had low confidence navigating Erica’s capabilities. ✘ Existing training materials were static, outdated, and text-heavy. ✘ Lack of visual storytelling and contextual guidance around conversational UX.
The Goal
✔ Improve adoption and usage of Erica among internal users. ✔ Create an instructional experience that mirrors Erica’s intuitive AI interface. ✔ Deliver a reusable, scalable training asset for onboarding and education.
My UX Process & Approach
Content Structuring & Scripting
Audited Erica’s features and prioritized user tasks based on internal usage analytics.
Storyboarded a concise flow to introduce key features in a narrative-driven structure.
Applied conversational UX principles to ensure video pacing matched user thinking.
Designed supporting visuals in Figma that mirrored Erica’s real interface for visual familiarity.
Interaction Design & Engagement Tactics
Integrated motion cues, screen zooms, and pause/play breakpoints to guide user attention.
Ensured ADA-friendly video contrast and type sizes for clarity and inclusivity.
Designed visual metaphors to simplify abstract AI interactions (e.g., smart search, intent detection).
User Testing & Stakeholder Review
Conducted usability testing with internal associates to validate clarity and engagement.
Refined voiceover pacing and screen transitions based on feedback.
Partnered with L&D and product owners to align on business goals and brand tone.
Final Outcome & Impact
✔ Improved Erica adoption rate among internal users based on follow-up training surveys. ✔ Reduced support queries related to Erica navigation and features. ✔ Delivered a repeatable video training template for other AI-driven features and tools. ✔ Helped bridge the gap between AI design intent and real-world usage.
Key Takeaways & Learnings
✔ UX for AI products doesn’t stop at the interface—education is part of the experience. ✔ Instructional design and interaction design must work hand in hand for engagement. ✔ Designing for adoption is about clarity, empathy, and thoughtful pacing.