UX/UI Designer & Technologist

Design that works
beyond the prototype.

Bridging design, technology, and 25 years of operational leadership — I build interfaces that are intuitive, accessible, and engineered to hold up in the real world.

36
Operations scaled across 4 states
3%
Sustained multi-state revenue growth YoY
4.0
GPA · B.S. Computer Science
25+
Years of cross-industry leadership
David R. Bailey
Featured Project
Springfield Church of Christ
Website Redesign

Design backed by
technical depth


I'm a UX/UI Designer and Technologist with 25+ years of leadership experience — and the technical depth to back every design decision.

My background spans IT support, retail operations, and digital strategy. That breadth isn't a detour — it's the foundation. I approach every design challenge the way a senior leader approaches a business problem: with research, accountability, and a clear eye on outcomes.

I design with production in mind from day one. I've managed cross-functional teams, overseen P&L, and shipped work under real constraints — and that experience shapes how I collaborate, communicate, and deliver.

My creative range extends beyond the screen — years of designing custom wedding cakes and original watercolor paintings have quietly sharpened my eye for composition, color, and the craft that comes from caring deeply about the finished experience.

"I am always doing that which I cannot do, in order that I may learn how to do it."
— Pablo Picasso
Design process — wireframing in Figma

Design process · Figma wireframing

Three careers.
One through line.


01
Retail Leadership · 25+ Years

Operations are really about people.

Managing 36 locations across four states taught me that systems only work when the humans inside them are understood. Understanding behavior, removing friction, and designing workflows that scale — that's UX, even when you don't call it that.

02
Pastry & Wedding Design · 10+ Years

Long before I knew the term "UX," I was practicing it.

Every wedding cake began with deep client research, iterative sketches, and a high-stakes delivery where failure was not an option. I learned to translate someone's vision into a beautiful, tangible experience — on time, on budget, and under extraordinary pressure.

03
UX/UI Design · Now

The tools are different. The process is the same.

Understand the user. Design with intention. Deliver something that works. Now I apply that discipline digitally — with Figma, analytics, and a 4.0 GPA in Computer Science backing every decision.

Pastry Design — Concept to Delivery

Wedding cake design sketch
Design sketch · Client consultation phase
Finished wedding cake
Finished cake · Delivered result

Cake Portfolio — Selected Works

Wedding Cake 1 Wedding Cake 2 Wedding Cake 3 Wedding Cake 4 Wedding Cake 5 Birthday Cake 1 Birthday Cake 2 Baby Cake

Watercolor Paintings — Original Works

Watercolor 1 Watercolor 2 Watercolor 3 Watercolor 4 Watercolor 5 Watercolor 6 Watercolor 7

Print Shop — Coming Soon

Original watercolor prints available for purchase

What I bring to the table


Design & UX

  • UX Research
  • UI Design
  • Wireframing
  • Prototyping
  • Figma / Adobe XD
  • Accessibility (WCAG)
  • Usability Testing

Technical

  • IT Support
  • Troubleshooting
  • HTML / CSS
  • Wix / WordPress
  • Web Analytics
  • SEO Optimization
  • GitHub / Git

Strategy & Leadership

  • Project Management
  • People Management
  • Digital Strategy
  • Data-Driven Decisions
  • Mentorship
  • Budget Oversight

Business

  • E-commerce
  • Targeted Marketing
  • Sales Leadership
  • Inventory Optimization
  • P&L Analysis
  • Cross-functional Teams

Creative & Craft

  • Watercolor Painting
  • Wedding Cake Design
  • 3D Modeling (Blender)
  • Shapr3D
  • Adobe Photoshop
  • Procreate
  • Illustration

Selected work


NavEase Logo

Product Design · AI Integration · Mobile UX

NavEase — Mobile Navigation Intelligence

An end-to-end product proposal addressing one of mobile's most persistent problems: navigation that drives users away. Combines AI-powered personalization, contextual onboarding, and developer analytics into a scalable, technically grounded solution.

43%App abandonment rate addressed
150%Projected ROI year one
20wkPlan to deployment
AI-assisted UX workflow

UX Research · AI-Assisted Workflows

Using AI to Support UX Design Workflows

An independent exploration of how AI tools can augment the design process — accelerating research synthesis, ideating faster, and producing clearer documentation — without replacing human-centered judgment.

3Workflow phases tested
AI+Human-centered
Ideation velocity

Springfield Church of Christ

Role: UX/UI Designer & Digital Strategy Lead Timeline: 9 Years (ongoing) Tools: Figma, Wix, WordPress, Google Analytics, Hotjar

Project Overview

What began as a website redesign has evolved into a 9-year ongoing technology partnership with Springfield Church of Christ. Over that time, I've served as the church's de facto technology advisor — leading a full UX redesign and digital strategy, integrating a networked camera security system, managing and upgrading the church's network infrastructure, advising on hardware procurement and specifications for three computer replacements, and working alongside the church's Audio and Video team to build and maintain a live streaming capability that has kept the congregation connected through illness, distance, and the COVID-19 pandemic.

The website redesign — and the digital strategy surrounding it — is one major initiative within a much broader, trust-based relationship. That relationship itself is part of the story.

The Challenge

First-time visitors were struggling to find essential information. Service times, beliefs, and event details required multiple clicks, with no clear calls to action guiding next steps. But the digital challenges ran deeper than the website.

Research & Planning

Analytics revealed high drop-off rates on key pages. Heatmaps indicated hesitation within primary navigation. Task-based walkthroughs confirmed visitors could find information, but it required too many steps.

Designing the Solution

The redesign centered on three primary user journeys: planning a visit, understanding beliefs, and discovering events. Wireframes validated structure before implementation. But the solution extended well beyond the website.

Key Decisions & Tradeoffs

Simplifying the nav rather than expanding it. Research and analytics consistently showed that older users — the church's primary demographic — were hesitating and dropping off within the navigation. My decision was to reduce, clarify, and surface the most critical paths.

Reducing content density on key pages. Several pages were essentially digitized paper documents — dense, text-heavy, and formatted for print, not screens. The decision to restructure this content into scannable, human sections required prioritizing comprehension over completeness.

Prioritizing "Plan Your Visit" over other CTAs. Multiple CTA options competed for prominence. The decision to elevate "Plan Your Visit" was grounded in stakeholder input confirming new visitor attendance as the primary goal.

Working creatively within platform and budget constraints. This was a pro bono engagement with a client-mandated Wix platform. Rather than treating constraints as failures, I used them as forcing functions toward simplicity.

Building a streaming infrastructure under pressure. When COVID-19 forced suspension of in-person services, the church had no existing capability to reach its congregation digitally. Working alongside the AV team, I helped design and implement a live streaming workflow that prioritized reliability over sophistication.

Ongoing Engagement

Nine years is a long time to work with a single client. It's also the clearest signal I can offer that the work has delivered value. Over that period, the relationship has expanded from a focused redesign project into a broad technology advisory role — one built on trust, consistency, and the ability to translate complex technical decisions into plain language for non-technical stakeholders.

Results

78%Web traffic increase
Event attendance
9yrOngoing partnership

This project reinforced that effective UX is often about prioritization rather than expansion. By aligning analytics, user behavior insights, and business goals, the website evolved from an information hub into a structured engagement tool.

Product Design · AI Integration · Mobile UX

NavEase — Mobile Navigation Intelligence.

An end-to-end product proposal addressing one of mobile's most persistent problems: navigation that drives users away before they ever discover the product's value.

Role: UX Strategist & Product Designer Timeline: 20 Weeks — Planning to Deployment Tools: Figma, PowerPoint, Venngage, Cameo, React, Django, AWS
0%
App Abandonment Rate
of users leave due to poor navigation
0%
Projected ROI
increase for adopters in year one
0wk
Timeline
planning through deployment

Project Overview

NavEase is a mobile app navigation solution that combines AI-powered personalization, contextual onboarding, and developer analytics to solve one of the most persistent challenges in mobile UX: confusing, inefficient navigation that drives users away before they ever discover the product's value.

This project demonstrates end-to-end product thinking — from identifying a measurable user problem to proposing a technically grounded, scalable solution with clear business impact. It was developed as a complete product proposal covering every stage from problem discovery through technical architecture and go-to-market planning.

Problem & Solution

Research shows that 43% of users abandon apps not because the product lacks value — but because they can't find it. These issues compound into low retention, increased support costs, and direct revenue loss.

Navigation

Confusing Menus

Complex menu structures drive frustration and disengagement before users find the product's value.

Discoverability

Buried Features

Key functionality hidden deep within interfaces reduces adoption and long-term engagement.

Task Flows

Multi-Step Complexity

Convoluted flows slow users down and increase drop-off at every unnecessary step.

Onboarding

Static Tutorials

One-time tutorials that don't adapt leave users stranded the moment they explore independently.

Personalization

No Adaptation

Every user receives the same experience regardless of their individual behavior or needs.

Accessibility

Underserved Users

Gaps in accessibility leave significant portions of the user base without adequate support.

Analytics

Developer Blind Spots

Teams lack real-time visibility into exactly where users struggle within their products.

AI

AI-Powered Navigation

Adapts menu structure and content based on individual user behavior, reducing friction over time without manual reconfiguration.

Onboarding

Contextual Tooltips

Real-time, in-context guidance that replaces one-time tutorials users skip and forget.

Search

Predictive Shortcuts

Surfaces relevant features proactively based on usage patterns, reducing navigation cognitive load.

Developer

User Flow Mapping

Gives teams a visual map of how users actually navigate their app in real time.

Analytics

Heatmap Analytics

Shows exactly where users tap, hesitate, and drop off — enabling targeted iteration, not guesswork.

Templates

Pre-Designed UX Patterns

Research-backed navigation templates that accelerate development and reduce time-to-quality.

Research & Problem Definition

The research phase focused on quantifying the navigation problem and identifying exactly where and why users disengage. Rather than relying on anecdotal evidence, I grounded the problem in behavioral data and industry research.

A key insight: most navigation failures aren't the result of bad design intent — they're the result of teams building without real-time visibility into how users actually move through their product.

Planning & Execution — 20-Week Roadmap

Structured across five phases to maintain quality at each stage without compressing testing or deployment — the two areas where teams most commonly cut corners.

Phase 1
Planning
Weeks 1–4
  • User research
  • Persona development
  • Risk assessment
  • Budget planning
Phase 2
Design
Weeks 5–8
  • UX wireframes
  • Prototyping
  • Usability testing
  • Design system
Phase 3
Development
Weeks 9–14
  • Front-end build
  • Back-end APIs
  • AI model training
  • Database setup
Phase 4
Testing
Weeks 15–18
  • QA & bug fixes
  • Security audit
  • Performance tests
  • Beta rollout
Phase 5
Deployment
Weeks 19–20
  • AWS deployment
  • Monitoring setup
  • Go-to-market
  • Launch

Risk mitigation strategies were documented for AI bias, data security, development delays, and scaling challenges. Total budget: $150K development, $50K AI training, $20K cloud infrastructure.

Budget & Skills

Budget Breakdown — $220K Total
Development$150K · 68%
AI Training$50K · 23%
Cloud Infrastructure$20K · 9%

UX & Product

User ResearchTask FlowUsabilityPersonas

Technical

ReactDjangoPostgreSQLAWS

Strategy

ROI ModelingRiskGo-to-Market

Communication

Data VizStorytellingPresentation

Technical Architecture

A product proposal without a credible technical foundation is just a concept. NavEase was designed with a production-ready architecture from the start — scalable, modular, and compliant with enterprise data requirements.

React (JavaScript) Python / Django PostgreSQL AWS Auto-Scaling Microservices GDPR Compliant HIPAA Compliant IoT Ready

Communication & Storytelling

A technically sound product proposal only creates value if it can be communicated clearly to the people who need to act on it. This phase required translating complex UX and architectural concepts into materials accessible to non-technical stakeholders.

This phase reinforced a principle that runs through all of my work: the ability to translate between technical and non-technical contexts is itself a design skill — and often the one that determines whether good work actually ships.

Impact & Outcomes

150%

Projected ROI

Return on investment increase for businesses in their first year of adoption.

25%

Energy Reduction

AI algorithms optimized to reduce energy consumption vs. comparable tools.

User Retention

Personalized flows replace frustrating navigation and reduce abandonment rates.

Global

GDPR & HIPAA

Compliance built in from day one for regulated, worldwide enterprise deployment.

Support Costs

Self-service automated guidance reduces customer support load significantly.

IoT+

Future-Ready

Architecture supports future expansion to wearables and IoT device integration.

150%Projected ROI year one
25%AI energy reduction
User retention & discoverability

NavEase demonstrates that the most impactful UX solutions address both sides of the product relationship — the user experience and the developer's ability to understand and improve it. By combining AI personalization with real-time analytics, NavEase creates a feedback loop that makes products smarter over time rather than requiring constant manual redesign.

Using AI to Support UX Design Workflows

Role: UX Designer & AI Workflow Researcher Timeline: Ongoing exploration Tools: Claude (Anthropic), Figma, Google Docs

Project Overview

As AI tools become more integrated into creative and analytical work, designers are exploring how these technologies can support research, ideation, and documentation. After completing structured AI training, I began experimenting with how Claude could assist parts of the UX design process — organizing research insights, exploring design directions, and improving documentation clarity.

This project explores how AI can augment design workflows without replacing critical thinking or user-centered decision making.

The Challenge

Designers spend a significant amount of time organizing information, synthesizing research, and documenting design decisions. These tasks are essential but can slow down early exploration and iteration. I wanted to explore three specific questions:

Research & Planning

I began by identifying the phases of a typical UX workflow where time and cognitive load are highest — not the creative moments, but the organizational ones. Research synthesis stood out immediately. Summarizing interview transcripts, meeting notes, and audit findings into structured insights is time-consuming and often delays the transition into design work.

Documentation was a close second: translating rough notes and design decisions into coherent case study writing requires significant effort that often happens at the end of a project, when energy is lowest. The planning focus became clear — test AI assistance at the handoff points, where messy input needs to become structured output.

UX + AI · Workflow Study

AI-Assisted UX Design Workflow

How Claude augments research, ideation, and documentation — without replacing human judgment.

01
Research Synthesis
Raw input → structured insight

Transcripts, notes, and audit findings fed into Claude with structured prompts. Output: organized insight summaries ready for design decisions.

02
Ideation Support
Thinking partner, not decision maker

Claude surfaces alternative interaction patterns and design directions. Designer evaluates, combines, and discards. Human judgment drives every choice.

03
Documentation
Rough notes → clear structure

Bullet points and rough decisions transformed into structured case study outlines. A strong first draft removes the blank-page barrier entirely.

📋
Research Notes
Transcripts, audits, observations
Claude AI
Organize · Summarize · Ideate
💡
Insights
Structured, actionable, reviewed
🖼
Design Concepts
Wireframes, prototypes, decisions
📁
Case Study
Documented, published, shared
Key Finding 01

Structure drives quality. Specific prompts with clear role, context, and goal outperform open-ended requests every time.

Key Finding 02

AI organizes complexity fast. The highest-value use is turning messy input into structured output at workflow handoff points.

Key Finding 03

Human judgment is irreplaceable. AI surfaces options — designers evaluate feasibility, usability, and user alignment.

Designing the Solution

I tested Claude across three common UX activities to evaluate where it added the most value.

Key Insights

AI performs best with structure. Clear prompts that define the role, context, and goal consistently produced stronger results than open-ended requests.

AI is most effective at organizing complexity. It can quickly structure large amounts of messy information, which is exactly where design workflows slow down.

Human-centered design remains at the core. AI can generate ideas and structure information, but designers still need to evaluate every output against user research, business goals, and technical reality.

Results

Ideation velocity
Research synthesis speed
Documentation clarity

Used intentionally, AI can help designers accelerate early ideation, synthesize research more quickly, improve documentation clarity, and explore multiple solution paths in less time. Rather than replacing design thinking, it acts as a collaborative tool that supports deeper exploration and clearer communication.

Experience & credentials


David R. Bailey

UX/UI Designer & Technologist with 25+ years of cross-industry leadership. Available for remote roles — open to the Springfield, OH area for the right opportunity. Download my full resume to see work history, certifications, and more.

Download Resume

Let's work together


I'm open to freelance projects, full-time opportunities, and collaborations. If you have a design challenge that needs a thoughtful approach, I'd love to hear about it.