BRYAN JAYNE

Product Design, UX Strategy, Systems & Leadership for Fortune 500 to AI Startups

(415) 710-309 | bryanjayne@gmail.com | LinkedIn


Portfolio for Marker Learning: UX Strategy for Expert Workflows, AI Integration & Scalable Systems


These four case studies reflect how I approach complex, high-trust workflows—whether for health platforms, AI-powered tools, or expert-facing enterprise systems. My work blends systems thinking, behavioral insight, and hands-on execution to support confident decision-making at scale.


  1. WebMD Daily Habits: Redesigned a B2B2C mobile wellness app using behavioral UX and modular systems—achieving a 136% engagement lift and 34% usability improvement for the populations of enterprise clients like Cigna and Adventist Health.

  2. Cisco Enterprise GenAI Assistant: Defined and scaled an AI-powered support assistant across a complex B2B SaaS ecosystem—aligning stakeholders and launching modular AI UX across multiple surfaces.

  3. Cisco Commerce Tools: Reimagined internal admin, partner, and customer support flows across enterprise operations tools—streamlining UI logic and improving flexibility across user roles and systems.

  4. Mobile Insight (T-ROC GenAI Startup): Rebuilt early GenAI interaction flows across kiosk and mobile—driving multimillion-dollar client adoption through intent-led experience design.

Additional projects showing design systems, fintech and mobile services app and platform are available to provide as well. Feel free to reach out at bryanjayne@gmail.com to see those.


WEBMD DAILY HABITS

Designing long-term engagement through behavioral systems thinking.


I
led the redesign of WebMD’s wellness app, applying behavioral science and UX strategy to increase user engagement by 136%. Improved user feedback loops drove stronger long-term health behaviors and outcomes for health plan populations and corporate client employees.


Role: Sole UX Designer through MVP; led UX strategy, product design, usability testing, and co-led product improvement roadmap with product management.


Collaboration: Product · Engineering · Data science · Sales · Marketing · Executive stakeholders


Problem and Approach: WebMD WebMD Health Services launched Daily Habits, a mobile and web app designed to help employees and health plan members build healthier routines. However, despite its potential, initial engagement was alarmingly low, leading to concerns from enterprise clients. The core problem was unclear: the app, built on a legacy backend and a dated behavioral model, hadn't undergone early research or testing. Users were struggling to stay on track, but the reasons for their disengagement remained a mystery.

To pinpoint these issues, I spearheaded a post-launch discovery process. Through usability testing and behavioral pattern analysis, it became clear that the inherited motivation model and task flow were causing significant confusion, user drop-off, and missed milestones.

My solution was to overhaul the user experience entirely. I restructured the app around a new interaction model that provided contextual feedback, clarified milestone progress, and offered much-needed motivational support at every step. Additionally, I redesigned the onboarding process to reduce friction, introduced in-flow guidance to boost comprehension, and created a modular design system to ensure the platform's long-term evolution and scalability.


Deliverables:

  • Interaction model redesign

  • Motivational UX flows

  • Contextual onboarding & in-flow guidance

  • Modular design system and component specs

  • Post-MVP usability testing + improvement cycles

Impact:

  • 136% increase in year-over-year engagement

  • 75% increase in plan completions

  • 33% improvement in usability and task clarity

  • 71% of surveyed users said they’d recommend the app

  • Drove 5+ multi-million-dollar B2B contracts

Reflection & Why It Mattered: This project was a clear example of solving for ambiguity after launch. Rather than jumping to surface-level changes, I led a research-first effort to define the real problem, rebuild the behavior model, and iterate until the product worked for users — and for business goals.


Want to learn more about this project? Feel free to reach out at bryanjayne@gmail.com if you’d like a deeper walkthrough of this project and how I contributed value across strategy, design, and execution.


CISCO ENTERPRISE GENAI ASSISTANT

Systematizing human-in-the-loop design for a B2B support platform




For Cisco’s CX Cloud, I unified fragmented GenAI tools into a scalable assistant that worked across enterprise workflows. I led cross-functional strategy, developed interaction models, and shipped phased AI UX improvements—helping expert users control complex decisions while integrating future-ready intelligence.



Role: Principal Designer – GenAI design and strategy


Collaboration: AI engineering · Customer Support Teams · Product Leadership · Content Strategy · Design Leadership · CX Design Team · VP Stakeholders


Problem and Approach: Cisco’s CX Cloud is a SaaS platform that helps enterprise network managers realize the full value of their Cisco investments by guiding them to the right support, insights, and actions. The existing AI-powered assistant was fragmented and underutilized, lacking a cohesive interaction model, enterprise-scale support, and the ability to take advantage of new GenAI capabilities.

I led the end-to-end UX strategy and design for the next generation of the GenAI CX Cloud assistant. My first step was aligning stakeholders across product, engineering, and leadership to define what a truly holistic AI assistant could look like across the full CX Cloud ecosystem. I articulated a future-state vision and broke it into four focused design workstreams, each covering a distinct interaction layer or content scope.

From there, I developed a set of core design principles, mapped high-level interaction frameworks, and partnered with content leads to define how the chatbot should behave across different service tiers. I created scenario-specific design examples, interaction rules, and scalable UI components using Cisco’s enterprise design system. These not only showed how the chatbot would operate across use cases—but how it could deliver differentiated, high-value service experiences based on user intent and complexity.


Deliverables:

  • AI assistant interaction frameworks

  • Design principles + behavioral logic

  • Scenario-based UI and conversation models

  • Executive presentations and storytelling

  • Modular UI components for design system

  • Cross-team strategy documentation and phased roadmap

Impact:

  • Chatbot UX strategy approved by VP to guide platform-wide expansion

  • Interaction model used to align AI product roadmap across teams

  • Specific features shipped to production via sprint-based delivery

  • Unified fragmented chatbot into a strategic support assistant

Reflection & Why It Mattered: This work turned a disconnected chatbot into a scalable, enterprise-grade AI assistant by aligning design, product, and engineering around a shared interaction model. By leading with strategy, modularity, and behavioral clarity, I helped lay the foundation for how Cisco’s AI support will scale with future technology capabilities.


Want to learn more about this project? Feel free to reach out at bryanjayne@gmail.com if you’d like a deeper walkthrough of this project and how I contributed value across strategy, design, and execution.


CISCO CUSTOMER LIFECYCLE & COMMERCE TOOLS

Designing flexible tools for complex business roles



I supported expert users through structured, scalable workflows by redesigning internal and partner-facing tools at Cisco that handled licensing, renewals, and product operations. The effort improved task clarity, multi-role interface logic, and the modularity of the system architecture.


Role: UX Strategy and Design Lead — design direction, stakeholder alignment, team mentorship, worked closely with research partner


Collaboration: Cross-functional team leaders from 11 groups · Engineering leads · Design & research team · Executive stakeholders


Problem and Approach: Cisco’s $50B commerce ecosystem spans tools used by partners, sellers, and fulfillment teams—but when I joined the initiative to reimagine the experience, there were no defined users, no agreed-upon goals, and no validated direction. I began by building relationships across product and business stakeholders to surface pain points and understand internal perspectives.

I then co-led partner-facing research, including interviews and concept testing with Cisco’s 2-tier partners. This uncovered core Jobs-To-Be-Done and highlighted critical gaps between internal assumptions and how partners actually conducted business. To move the work forward, I prioritized a high-impact user type and created future-state journey flows, clickable wireframes, and prototypes that showed how redesigned workflows could both improve efficiency and directly support partner profitability. As momentum grew, the work expanded to cover additional partner tiers and even consumer-facing use cases.

To gain early traction, I developed a narrative walkthrough illustrating how a Cisco partner could serve their customer using the redesigned tools—annotated with UX gains and strategic business impact. Despite the complexity embedded in many steps, this focused story, design strategy, and clear prototypes aligned stakeholders and earned SVP-level approval, setting the stage for continued build-out across the platform.

Deliverables:

  • Internal + partner user research (in close partnership with 3 researchers)

  • Strategy workshops with cross-functional stakeholders

  • JTBD (jobs to be done) synthesis and user prioritization

  • Executive-level narrative presentations

  • Annotated wireframes + working prototypes

  • Future-state journey mapping

  • Design strategy aligned to roadmap

  • Designs from wireframes and flows to hi-fidelity prototypes

  • Direction for 8 designers working in tandem with me

Impact:

  • Design strategy and designs approved by VP and SVP leadership

  • Prototypes helped visualize business impact and usability gains

  • Provided the roadmap leading from the 0-1 discovery through extended development

  • Designs credited with aligning user needs to partner profitability


Reflection & Why It Mattered:
This initiative successfully transformed a complex commerce ecosystem into a more user-centric and profitable experience. By aligning design with product and engineering around a shared understanding of partner needs, and by leading with a clear strategy and tangible prototypes, I helped lay the groundwork for Cisco's future commerce platform.


Want to learn more about this project? Feel free to reach out at bryanjayne@gmail.com if you’d like a deeper walkthrough of this project and how I contributed value across strategy, design, and execution.


MOBILE INSIGHT (T-ROC GEN AI STARTUP)

Structuring GenAI interactions to reduce drop-off and improve clarity



I rebuilt a GenAI-powered assistant experience by creating designs that solved for early interaction confusion and abandonment. By researching mental models and user intent, I clarified the assistant’s value and created a guided experience that improved task initiation and led to multimillion-dollar client deals.



Role: Principal Designer – GenAI flows, multi-surface design, and workshop facilitation


Collaboration: Founders · GenAI engineers · Product leadership


Problem and Approach: An interactive retail experience for kiosks and mobile was struggling: customers left within 10-20 seconds, and the team didn't know why.

I led research, focusing on the first few seconds and initial tasks. I discovered users were confused by three disconnected modes: an animated avatar, a chat UI, and video explainers. They didn't understand the assistant's value or how the parts worked together.

Although the team initially believed the problem was visual, my research revealed it was structural—users lacked a clear mental model of how the assistant worked. I created personas based on retail mindsets and introduced an intent-capture model after the avatar’s intro, allowing users to select a goal (e.g., “help me decide”). This clarified the assistant’s purpose and guided them into the appropriate experience. The overall solution unified all three interaction types into a seamless, user-driven flow.


Deliverables:

  • User research & synthesis

  • Cross-functional strategy workshops

  • Intent-capture model & UX framework

  • Product UX & UI redesign

  • Cross-platform design system


Impact:

  • Designs addressed issues with in users’ first impression and core interactions with the product that led to drop-off

  • Unified experience across kiosk, mobile, and video explainers with product demos

  • Work was lauded by leadership as directly contributing to multi-million-dollar retail contracts


Reflection & Why It Mattered:
By designing for user intent instead of passive flow, I helped turn a fragmented GenAI assistant into a purposeful, user-led experience. This reframed the product and made it scalable across new retail partners, product offerings and retail mindsets.


Want to learn more about this project?
Feel free to reach out at bryanjayne@gmail.com if you’d like a deeper walkthrough of this project and how I contributed value across strategy, design, and execution.