Johnny Levenson – UX Designer – User Experience Design

Designing systems that help people understand complex data.

Hi, I’m Johnny.

I’m a UX designer and researcher who specializes in designing complex, data-driven systems.

Over the past decade, I’ve worked across healthcare, biotechnology, cybersecurity, and enterprise SaaS—designing products that help people interpret critical information and make better decisions. My work often focuses on translating complex technical or clinical data into clear, intuitive digital experiences for patients, clinicians, analysts, and operational teams.

Most recently, I led UX design and research for patient-facing diagnostic platforms in the biotech space. Earlier in my career, I designed enterprise security and analytics systems used to monitor large-scale infrastructure and operational data.

Across industries, a common thread in my work is designing systems that help people make sense of complex signals—whether that’s health data, operational metrics, or system telemetry.

Results-driven Senior UX Strategy Leader with expertise in experience design strategy, AI integration, and cross-functional team leadership for industry giants like Intel, McAfee, and Qualcomm. With a background in leading user-centered design initiatives across industries such as retail, biotechnology, and cybersecurity, I excel at aligning business goals with data-driven insights to create intuitive, competitive products. Proficient in utilizing emerging technologies like artificial intelligence to enhance design processes and future roadmaps. Certified Scrum Product Owner and mentor with a knack for enhancing team collaboration and delivering impactful software solutions. Certification with a Top 10% in class distinction: AI for Designers from The Interaction Design Foundation.

Explore my detailed work history and colleague recommendations on LinkedIn.

CORE COMPETENCIES

Healthcare & Complex Systems UX
Patient-facing health technology, clinical workflows, decision-support systems

UX Research
Qualitative & quantitative research, usability testing, workflow analysis, insight synthesis

Product Design
Interaction design, prototyping, design systems, dashboards, data visualization

Data & AI Integration
AI-assisted research workflows, data interpretation interfaces, analytics UX

Leadership & Collaboration
Cross-functional alignment, product strategy influence, mentoring and design advocacy

TOOLS & TECHNOLOGIES

CASE STUDY

Designing Patient Experiences for At-Home Diagnostics

At Tasso, I led UX design and research for patient-facing diagnostic workflows and clinician-supported digital health experiences. The goal was to make at-home diagnostic testing easier to understand and complete while ensuring workflows aligned with clinical safety requirements and regulatory constraints.

The work focused on translating complex diagnostic processes into clear, intuitive digital experiences that help patients successfully complete testing and understand next steps.

CASE STUDY

Designing Cloud Security Monitoring for Enterprise Teams

I designed Tripwire.io, a cloud security platform that enables security teams to monitor configuration and compliance across AWS, Google Cloud, and Azure from a unified interface. The work focused on simplifying complex infrastructure data into actionable insights that help teams detect vulnerabilities and maintain system integrity.

CASE STUDY

Turning Supply Chain Data into Actionable Insights

I researched how supply chain analysts and inventory managers interpret operational data across retail grocery systems. Using those insights, I designed Power BI dashboards that surfaced critical inventory signals and performance metrics, helping teams make faster decisions and reduce operational inefficiencies.

My Approach to Design

I approach design as an iterative process grounded in research, collaboration, and testing. My work typically follows a cycle of:

Discover → Define → Ideate → Prototype → Test

This process helps ensure that design decisions are informed by real user needs and validated through continuous feedback. Whether designing healthcare platforms, enterprise systems, or data dashboards, the goal is always the same: reduce complexity and help users make confident decisions.