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Jonelle Boyd

Jonelle Boyd, Product Designer (UX/UI)

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686

Attune Flow Cytometer Configurator: UX Design of a Scientific Tool

Attune Flow Cytometer Configurator: UX Design of a Scientific Tool

Designing an intuitive workflow to guide researchers through instrument selection

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Company

Thermo Fisher Scientific

Role

Sr. UX/UI Designer

Tools

Sketch

 

1. Overview

The Attune Flow Cytometer Configurator is a digital tool designed to help researchers customize and configure Thermo Fisher Scientific’s Attune Flow Cytometer to fit their laboratory needs. This project was not a redesign but a net-new experience built to support users in understanding and selecting from a range of product options and accessories.

Team

  • Jonelle Boyd, Sr. UX/UI Designer
  • Jesse Mitchell, Sr. Product Owner
  • Amanda Thompson, Content Strategist
  • Christine Lewis, Lead Front-End Engineer
  • Front-End & Back-End Engineering Team

UX Goals

  • Create a clear, guided flow for customizing complex scientific equipment
  • Provide just-in-time information to help users understand configuration options
  • Build a flexible, modular UI to support future expansion and changes
  • Improve user confidence and reduce decision-making friction

2. Challenges

Flow cytometers are highly technical instruments with multiple configuration paths based on specific research needs, such as laser selection, detector options, and compatible accessories. Many users are experts in their field but may not be familiar with how to configure an instrument online.

Key challenges

  • Ensuring scientific accuracy while simplifying terminology for varied audiences
  • Making a complex, multi-step process feel linear and manageable
  • Creating a responsive, modular design that supports desktop-first use
  • Balancing detail with brevity in a high-stakes product configuration context

3. My Approach

To ensure usability and accuracy, I followed a structured process grounded in UX best practices:

  1. Cross-functional Collaboration
    Worked closely with product managers and engineering to understand technical requirements, system logic, and user types. Defined the scope of available options and rules for compatibility.
  2. Research and Content Mapping
    Analyzed existing product documentation and internal resources to define each step in the configuration process. Collaborated with stakeholders to identify key decision points and necessary explanations.
  3. Modular Interface Design
    Created a modular design that supports step-by-step navigation with consistent layouts, progressive disclosure of content, and built-in validations to guide correct configuration choices.
  4. UX Writing and Terminology Alignment
    Worked with product and marketing teams to align on language that is both scientifically accurate and user-friendly. Focused on reducing jargon and offering helpful inline guidance where needed.

4. User Journey

Before designing the interface, I collaborated with product owners to understand the typical flow cytometer buyer’s journey—from initial research to final purchase. Users were often scientists or lab managers who needed to ensure the selected configuration aligned with their experiment types, lab capacity, and budget. Many relied heavily on product documentation or sales representatives in the past.

To align the configurator with real-world behavior, I mapped a step-by-step journey:

  1. Select an Attune Flow Cytometer model
  2. Add required lasers and compatible detectors
  3. Choose optional accessories and software
  4. Review summary and submit for quote or purchase

The design aimed to support users at each of these stages with embedded guidance and real-time feedback.

Attune Flow Cytometer Buyer's Journey

5. Competitive & Internal Research

To ensure the configurator met both usability and business goals, I evaluated digital tools from three relevant sources:

  • BD Biosciences: Their flow cytometer configurator was highly technical and form-heavy, with minimal contextual guidance or user-friendly visual aids—highlighting opportunities for a more intuitive and supportive experience.
  • Apple (Hardware Configurator): While not a scientific tool, Apple sets a high standard for user-friendly configuration.
  • Internal Thermo Fisher Tools: Existing internal configurators often relied on outdated UI patterns and lacked consistent visual hierarchy, which reinforced the need for a more modern, modular, and responsive design.

These comparisons reinforced the value of progressive guidance, real-time feedback, and a clean, scalable layout tailored to both novice and expert users.

 Competitive Analysis

6. Final Design

The final configurator design uses a multi-step format with persistent navigation, clear section headers, and smart defaults. Users begin by choosing a core model, then move through laser options, detectors, accessories, and service plans. A summary panel updates in real time, helping users visualize their configuration as they go.

Key UX Features

  • Progress Indicator to show where users are in the process
  • Expandable Help Sections with contextual descriptions and images
  • Real-Time Summary Panel that tracks selections and updates pricing
  • Built-in Validations to prevent incompatible choices and guide corrections
  • Responsive Layouts optimized for desktop-first use in lab settings

View PDF of Attune Screens

Attune Components

Attune Related Products

Attune Software & Services

7. Results

The Attune Flow Cytometer Configurator launched as a key part of Thermo Fisher’s instrument purchasing experience. It has helped simplify what was previously a complex and sales-driven process into a guided, digital-first tool accessible to a wider range of users.

Key Results & Metrics

  • Positive feedback from internal stakeholders and field sales teams
  • Reduced dependency on manual configuration support
  • Increased clarity and transparency in the configuration and pricing process

8. Learnings & Reflections

This project highlighted the value of close collaboration between UX, product, and engineering teams in making highly technical systems more accessible. Designing for modularity and progressive disclosure ensured that users weren’t overwhelmed while still retaining full control over their configuration. It also reinforced the importance of domain-specific UX writing to bridge the gap between scientific precision and usability. As the tool’s framework proves successful, it opens the door to scaling the configurator model across Thermo Fisher’s broader portfolio of scientific instruments.

 

UX Principle: Consistency and Standards

Maintaining Consistency and Standards in user interface design refers to using consistent layouts and interaction patterns across each step to reduce cognitive load.

Gallery
686

UX Redesign of a Gene Optimization and Ordering Tool

UX Redesign of a Gene Optimization and Ordering Tool

Creating a streamlined, guided experience for researchers designing and purchasing synthetic genes

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Company

Thermo Fisher Scientific

Role

Sr. UX/UI Designer

Tools

Sketch

 

1. Overview

GeneArt Instant Designer is a web-based tool from Thermo Fisher Scientific that enables researchers to design and order synthetic genes with ease. The tool automates codon optimization, cloning vector selection, and validation, helping users streamline their gene synthesis workflows without needing to contact support or use offline tools. As a UX/UI Designer at Thermo Fisher, I partnered with product managers, scientists, and engineering to redesign the tool’s interface—focusing on making complex biological inputs more approachable and reducing friction in the ordering process.

Team

  • Jonelle Boyd, Sr. UX/UI Designer
  • Bee Im Teo, Product Manager
  • Molecular Biology Subject Matter Experts
  • GeneArt Engineering Team

My UX Goals

  • Simplify the gene entry and optimization process for both novice and experienced researchers
  • Increase conversion rates by reducing errors and friction in the self-service flow
  • Improve confidence and clarity at each step of the synthesis journey
  • Align the experience with Thermo Fisher’s broader eCommerce and product ecosystem

2. Challenges

The legacy version of Instant Designer was functional but overwhelming. It relied heavily on scientific jargon, offered limited feedback on errors, and lacked guidance through critical steps like sequence optimization and cloning. Users—especially those outside of molecular biology specialties—often abandoned the flow or reached out to support, which defeated the tool’s purpose as a self-service solution.

Key Challenges

  • Dense terminology and unclear validation feedback
  • Limited flexibility in choosing vectors or optimization strategies
  • Inconsistent visual design that diverged from Thermo Fisher’s eCommerce standards

3. My Approach

To address the complexity while preserving scientific accuracy, I applied a step-by-step, user-centered design approach:

  1. User & Stakeholder Interviews
    I worked with product managers and scientific experts to understand user needs and edge cases. We also reviewed customer support logs to identify common friction points.
  2. Flow Redesign & Simplification
    I restructured the experience into a guided, multi-step flow:
    • Input DNA Sequence
    • Choose Organism & Optimization Strategy
    • Select Cloning Vector
    • Review & Validate Design
    • Add to Cart
  3. Design System Alignment
    I applied Thermo Fisher’s Komodo design system to unify UI elements and align with the broader eCommerce experience.

4. User Journey

We focused on reducing cognitive load and offering contextual support at each step. Key improvements included:

  • Inline validation and tooltips to help users understand biological requirements
  • A real-time optimization preview to visualize codon changes
  • A visual gene map showing cloning site placement and sequence features
  • An updated vector selector with filtering and preview functionality

5. Competitive & Internal Research

We benchmarked the experience against other gene synthesis tools, like IDT and Twist Bioscience, and surveyed internal tools used by support staff.

Key Insights

  • Competitors lacked transparency during optimization steps
  • Most tools overwhelmed users with too many options up front
  • Internal researchers favored a more visual, interactive approach

Competitors: IDT and Twist Bioscience

6. Final Designs

The final design introduced a clean, modular UI with clear progress indicators and contextual help. Key features included:

  • A multi-step wizard layout
  • Visual sequence viewer and map
  • Smart defaults for cloning and optimization
  • Embedded biological logic for error handling and validation

Dashboard

GeneArt dashboard

Import Selection

Import selection method

Pre-import Screen

Pre-import screen

Review/Configure Constructs

Review/Configure Constructs

Order Screen

Order Screen

8. Results

The redesigned experience significantly improved usability and adoption among researchers. After launch:

Key Results & Metrics

  • 40% increase in successful self-service order submissions
  • 25% reduction in support ticket volume related to gene synthesis
  • Improved customer satisfaction scores in post-order surveys

While the redesign focused on the core ordering flow, future opportunities include integrating the tool more seamlessly with Thermo Fisher’s broader digital ecosystem—such as enabling batch ordering, user account customization, and real-time order tracking. These additions could further enhance user autonomy and improve the experience for research teams managing high volumes of synthetic gene requests.

9. Learnings & Reflections

This project taught me the importance of balancing scientific precision with intuitive design. Collaborating closely with subject matter experts helped ensure that simplification didn’t come at the cost of functionality. Working within a regulated, enterprise environment also reinforced the value of consistent documentation, stakeholder alignment, and design system adherence. Most importantly, I saw how thoughtful UX can empower researchers to move faster and with more confidence in their work.

 

UX Principle: Progressive Disclosure

Progressive Disclosure is a design principle that involves presenting only the information or options a user needs at a given moment—revealing more complexity or detail gradually as needed.

Gallery
685

Modular Onboarding and Dashboard for a SaaS Platform

Modular Onboarding and Dashboard for a SaaS Platform

Flexible, scalable UX for diverse user journeys in cloud environments

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Company

Pulumi

Role

Sr. UX/UI Designer

Tools

Figma

 

1. Overview

As Pulumi’s user base expanded, it became clear that the Pulumi Cloud Dashboard needed a redesign—one that could guide first-time users while still supporting experienced ones. I partnered with product owners, product managers, and Pulumi’s principal data engineer to create an integrated onboarding experience directly within the dashboard. A/B testing and internal feedback played a key role in shaping the solution. Rather than building a separate onboarding flow, we focused on embedding helpful, contextual guidance into the core product experience—making onboarding feel like a natural part of the platform.

Team

  • Jonelle Boyd, Sr. UX/UI Designer
  • Pablo Seibelt, Principal Data Engineer
  • Casey Huang, Sr. Software Engineer
  • Eli Staykova, Product Manager
  • Meagan Cojocar, Product Owner
  • Craig Symonds, Product Owner

My UX Goals

  • Provide meaningful, contextual guidance for new users
  • Minimize cognitive load and reduce onboarding friction
  • Maintain a clean, modular dashboard layout that can evolve
  • Design for flexibility to accommodate diverse user types and workflows

2. Challenges

The original dashboard didn’t offer clear direction for new users and lacked flexibility for different onboarding scenarios (e.g., team onboarding, individual projects, different cloud providers). There was also confusion between the Dashboard and Home pages, leading to redundant or missed information.

Opportunities included:

  • Streamlining the initial user journey without overwhelming users
  • Creating one centralized place for onboarding, insights, and navigation
  • Designing a scalable system that could grow with the product

3. My Approach

To ensure the system was scalable, consistent, and easy to use, I followed a four-step approach grounded in UX best practices:

  1. User & Stakeholder Collaboration
    Partnered with product managers, owners, and the principal data engineer to map key user journeys and pain points.
  2. Competitive Research
    Analyzed Terraform, AWS, and Vercel to benchmark onboarding strategies.
  3. Wireframes & Prototypes
    Built low-fidelity wireframes and interactive prototypes. Tested internally and refined through feedback loops and A/B testing.
  4. UX Strategy: Progressive Disclosure
    Gradually introduced onboarding content based on context and user behavior, reducing overwhelm.

4. User Journey

We drew inspiration from established systems like Google Material, Flowbite (a.k.a – Tailwind Figma), and Helios libraries. These systems demonstrated the value of a well-structured, documented, and extensible approach to UI. Their clarity and scalability helped shape our thinking around how to define tokens, components, and usage patterns in a way that would be both practical for our team and aligned with best practices.

Pulumi User Onboard Flow

5. Competitive Analysis

To inform the design direction, I conducted a competitive review of several cloud and infrastructure platforms, including Terraform, AWS, env0, and Vercel. I focused on how these tools onboard new users, present data, and structure their dashboards.

Key takeaways included:

  • Terraform: Useful for experienced users, but lacks accessible, guided experiences for less technical audiences. Good for understanding how expert-first tools guide activation. and env0 offered clear, checklist-style guidance to help users get started
  • Vercel: Great example of progressive disclosure and streamlined onboarding. Prioritizes clarity and speed, making it ideal inspiration for developer-friendly, low-friction workflows.
  • AWS: Information overload. Shows the importance of simplifying interfaces and surfacing relevant guidance based on user context.

Competitive Analysis: Terraform vs. Vercel vs. AWS

Competitive Analysis: Terraform vs. Vercel vs. AWS

6. Prototyping

Login

Using insights from research, I created low-fidelity wireframes to explore different login and onboarding strategies—such as a single email-field entry point versus a two-page flow separating Sign In and Create Account—to evaluate which layout best supported ease of use and user clarity.

Wireframe: Login

Getting Started

I initially considered a separate Home page for the “Getting Started” module but ultimately chose to embed it within a modular dashboard for a more seamless experience. The “Getting Started” module provides simple, step-by-step guidance, streamlining the user experience.

Wireframe: Getting Started

Digital Prototype

As I progressed with the wireframe, I created a low-fidelity interactive prototype to demonstrate interactions and tested it with a few engineers to gather feedback.

View Lo-Fi Prototype

Lo-Fi Prototype

7. Final Designs

Login

After exploring different login and onboarding strategies through low-fidelity wireframes, including a single email-field entry versus a two-page flow, we conducted A/B testing to assess user preferences. The results favored the two-page model, with a split-page design: information about Pulumi on the left and the Sign Up form on the right. This layout provided a clear, focused user experience, allowing users to learn about Pulumi while simultaneously entering their details. It reduced friction by guiding users step by step and keeping the process organized, making it the most effective choice for onboarding.

Login - Before and After

Dashboard

I developed a modular dashboard with embedded onboarding, including a “Getting Started” module, action-driven cards, and adaptive interface elements. Progressive Disclosure was used to surface onboarding tasks only when relevant, helping users build confidence step by step without cognitive overload.

View Hi-Fi Prototype

Dashboard - Before and After

8. Results & Next Steps

The final redesign delivers an onboarding-friendly, scalable dashboard experience that seamlessly supports all users—from first-timers to power users.

Key Results & Metrics

  • Embedded, frictionless onboarding directly in the dashboard
  • A unified, modular layout supporting both onboarding and analytics
  • Enhanced clarity and navigation without sacrificing future flexibility
  • Improved usability and visual consistency across the platform
  • A 30% reduction in onboarding time (based on A/B testing)

Next Steps

Looking ahead, we plan to introduce a customizable dashboard experience, enabling users to add charts, remove sections, and personalize their workspace. As we shift toward analytics-focused dashboards, it makes sense to eventually move the onboarding content to a dedicated Home page—fulfilling the original vision while giving users greater control.

9. Learnings & Reflections

This project deepened my understanding of designing flexible systems that adapt to diverse user journeys. Embedding onboarding into the dashboard (rather than separating it) helped reduce friction while still supporting advanced users through progressive disclosure and modular components. I learned how critical it is to validate assumptions with data—A/B testing and cross-functional feedback were key to refining the experience. Collaborating with engineers, product managers, and data experts also reinforced how strong UX comes from aligning user needs with technical realities. Ultimately, the work reminded me that impactful design goes beyond UI—it’s about creating systems that guide users at the right time, in the right way.

 

UX Principle: Progressive Disclosure

Progressive Disclosure is a design principle that involves presenting only the information or options a user needs at a given moment—revealing more complexity or detail gradually as needed.

Video
281

Pulumi Copilot: A Conversational AI for Cloud Engineers

Pulumi Copilot: A Conversational AI for Cloud Engineers

Simplifying DevOps Workflows with an AI-Powered Chat Interface

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Company

Pulumi

Role

Sr. UX/UI Designer

Tools

Figma

 

1. Overview

AI is transforming how users interact with technology—and cloud infrastructure is no exception. In 2023, Pulumi launched Pulumi AI, a generative AI tool designed to help developers solve complex cloud problems using Infrastructure-as-Code. Building on that success, Pulumi introduced Pulumi Copilot, a conversational chat interface integrated into Pulumi Cloud. Copilot empowers users to manage infrastructure, troubleshoot issues, and gain insights using natural language—making cloud workflows faster and more accessible.

Team

  • Jonelle Boyd, Sr. UX/UI Designer
  • Meagan Cojocar, Product Owner
  • Cleve Littlefield, Product Owner
  • Aaron Friel, AI Engineering Lead
  • Pulumi AI Engineering Team

My UX Goals

  • Design a visually clean, intuitive interface for AI interactions
  • Maintain consistency with Pulumi Cloud’s existing UI design system
  • Ensure a seamless, fast user experience while interacting with AI features
  • Create distinct UI components that would cater specifically to a conversational interface
  • Enhance usability without disrupting the active dev cycle

2. Challenges

Copilot introduced a new UI paradigm to Pulumi Cloud—one that required rethinking traditional patterns while honoring existing constraints. Key challenges included:

  • No precedent in the design system: Conversational interfaces were entirely new within Pulumi’s product ecosystem.
  • Visual polish: The MVP had core functionality but lacked the refined visuals needed for production use.
  • Brand alignment vs. product differentiation: Copilot needed its own identity while still feeling native to Pulumi Cloud.
  • Ongoing dev cycles: Design updates had to be incremental and compatible with an active development pipeline.

These challenges created a space for thoughtful experimentation, focused iteration, and collaborative problem-solving.

3. My Approach

To design a scalable, user-friendly conversational interface, I followed a focused and iterative process:

  1. Define Use Cases & Functionality
    Collaborated with PMs and engineers to understand the technical capabilities and prioritize key user actions—such as asking deployment questions, getting IaC recommendations, and receiving system insights.
  2. Explore Patterns & Constraints
    Audited popular conversational UI patterns (e.g. Slack, ChatGPT) to inform design direction, while mapping feasibility within Pulumi’s codebase and design system.
  3. Design & Prototype
    Created component-level mockups and conversation flow prototypes to test layout, visual hierarchy, and accessibility. Introduced new elements like message bubbles, system responses, and hover interactions tailored for developers.
  4. Iterate with Dev & QA
    Worked closely with engineering to implement designs iteratively—ensuring performance, responsiveness, and usability across browsers and devices.

Notes & Conversations w/ Team

notes and conversations with team

4. Inspiration

I referenced many different conversational experiences from tools like Slack and ChatGPT, which demonstrated how to balance form and function in AI interfaces. These examples helped inform the pacing of interactions, feedback timing, and conversation formatting. I also drew from Pulumi’s clean UI aesthetic to ensure consistency in typography, spacing, and color. The interface was intentionally minimal—allowing the AI experience to remain the focal point.

Chat Interface Examples for Inspiration

Chat interface pics

5. Impact & Broader Context

Pulumi Copilot is part of the company’s broader mission to simplify infrastructure through AI. By designing a thoughtful conversational experience, we empowered developers to interact with Pulumi Cloud in a more human, accessible way—no matter their experience with Infrastructure-as-Code.

This project also influenced future design efforts by establishing a UI foundation for conversational tools in the platform. It strengthened collaboration between product, design, and engineering and set the stage for more integrated, AI-driven features across the developer experience.

6. Results & Next Steps

The redesigned Copilot interface made conversational AI feel like a native part of Pulumi Cloud, driving early engagement and setting the foundation for future growth. Initial feedback from internal users and early adopters was positive, highlighting improvements in clarity, usability, and visual integration.

View Dark Theme (PDF)

(with noted components and guidelines)

Pulumi Copilot - Dark UI components and guidelines

Pulumi Copilot - Dark within Pulumi Cloud interface

 

View Light Theme (PDF)

(with noted updates and changes from the alternate Dark Theme)

Pulumi Copilot - Light UI components and guidelines

Pulumi Copilot - Light within the Pulumi Cloud interface

Copilot Logo Options

After much deliberation, AI Sparkle – Version 2 was chosen as the best representation for the branding. 

 Copilot logo options

Key Results & Metrics

  • 30% increase in Copilot usage within the first 4 weeks of launch, indicating strong initial adoption.

  • 25% reduction in time-to-resolution for common infrastructure issues, based on user interactions logged through Copilot.

  • Zero critical usability issues reported during QA testing after implementation of the new UI components.

  • 15% boost in daily active users interacting with Pulumi Cloud’s AI features.

Next Steps

  • Introduce Conversation History: Allow users to revisit previous interactions with Copilot for continuity and learning.
  • Enhance Personalization: Leverage context (e.g. current project, resource state) to provide more relevant and tailored responses.
  • Expand Design Patterns: Evolve the design system to formally include conversational UI components for reuse across other AI features.

7. Learnings & Reflections

This project pushed me to explore a new interaction model, while working within a mature design system. It taught me how to introduce innovative UX patterns in a way that feels native to an existing product.

 

UX Principle Used: Fitt’s Law

Fitts’s Law states that the time required to move to a target is a function of the distance to and size of the target. This principle helped guide the design by ensuring key elements, like the input field and prompts, were large and easily accessible, reducing interaction time and making the interface more intuitive and responsive.

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688

Design System & UI Library for a SaaS Cloud Console

Design System & UI Library for a SaaS Cloud Console

Pulumi’s first UI library, built to bring consistency, scalability, and efficiency to the design and development of the Pulumi Cloud Console.

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Company

Pulumi

Role

Sr. UX/UI Designer

Tools

Figma, Storybook, Hihayk.github.io, Icomoon

 

1. Overview

The Pulumi UX team lacked a formal UI library, which led to inconsistencies across the product and inefficiencies in both design and development. As Pulumi Cloud and the team grew, the need for a unified visual language became clear. The focus was on building reusable components and establishing foundational styles to support a more consistent and scalable user experience.

Team

  • Jonelle Boyd, Sr. UX/UI Designer
  • Dylan Kilgore, Sr. UX/UI Designer
  • Vic Fernandez, Sr. UX/UI Designer
  • Kimberley MacKenzie, Sr. Frontend Engineer

My UX Goals

  • Establish visual and functional consistency across teams and features
  • Reduce design and development debt by creating reusable, standardized components
  • Improve accessibility through built-in patterns and usage guidelines
  • Foster cross-functional alignment between design and engineering through shared systems and documentation

2. Challenges

Before the UI library existed, our design and development workflows were fragmented. Designers frequently recreated components from scratch or worked from outdated files, while developers implemented UI without clear guidance or consistency. This led to duplicated work, visual drift, accessibility issues, and a fragmented user experience. We saw an opportunity not only to fix inconsistencies but to build a system that would support scalability and streamline collaboration across teams.

3. My Approach

To ensure the system was scalable, consistent, and easy to use, I followed a four-step approach grounded in UX best practices:

1. Audit & Align (Consistency)
I started with a UI audit to identify inconsistencies and redundant patterns. This gave us a clear picture of what needed to be standardized and where to consolidate design efforts.

2. Define Foundations (Usability)
We established core design tokens—typography, color, spacing, and elevation—to create a consistent and reusable visual language that could guide both design and development.

3. Build Modular Components (Scalability)
Following atomic design principles, I built flexible, reusable components in Figma, progressing from simple elements to more complex UI structures to support evolving product needs.

4. Document & Collaborate (Accessibility)
I created usage guidelines covering behavior, accessibility, and edge cases, and worked closely with engineering to ensure long-term maintainability and alignment between design and implementation.

Atomic Design

4. Inspiration

We drew inspiration from established systems like Google Material, Flowbite (a.k.a – Tailwind Figma), and Helios libraries. These systems demonstrated the value of a well-structured, documented, and extensible approach to UI. Their clarity and scalability helped shape our thinking around how to define tokens, components, and usage patterns in a way that would be both practical for our team and aligned with best practices.

Design Systems used for inspiration

5. Execution & Collaboration

We built the UI library in Figma, where we created atomic components, established design tokens, and documented properties and use cases. I also contributed to writing guidelines that covered behavior, accessibility, and edge cases—ensuring our system was not only consistent but also inclusive and functional. Collaboration with our front-end developer was key: we regularly synced on implementation details, reviewed GitHub PRs, and maintained a feedback loop to keep the design and code in sync.

The design system is still a work in progress, with the long-term goal of building a public-facing website similar to Google Material’s—something that can serve as a shared resource internally and eventually externally. For now, documentation lives in a working Google Docs file titled UI Design System Guidelines, which serves as a living guide for how to create or update components within the Pulumi Cloud Console. This document is actively maintained and intended to evolve alongside the system until the full site is ready to launch.

Buttons

Grid System

Date Time Picker

Typography

Icons

6. Results & Next Steps

The design system has improved consistency across Pulumi Cloud and reduced the time designers and developers spend on repeat work. Feedback from internal teams has been positive, especially around shared patterns and accessibility support. The next milestone is launching a public-facing documentation site to better support onboarding, cross-team adoption, and external contributors.

Key Results & Metrics

  • 80% reduction in time spent designing repeat UI components, thanks to reusable assets in the Figma library.

  • 4× faster onboarding for new designers and developers, due to centralized documentation and clear component usage.

  • 100% adoption rate among Pulumi UX designers for the new Figma component set within the first quarter.

  • 20+ documented components and growing, each with usage guidelines, accessibility notes, and edge case considerations.

7. Learnings & Reflections

Building Pulumi’s first design system taught me how foundational consistency and clarity are to scaling UX. I deepened my understanding of atomic design, accessibility standards, and cross-functional documentation. Most importantly, I saw how a well-structured system can bridge gaps between design and development, enabling teams to move faster while staying aligned.

 

Methodology: Atomic Design

A methodology that breaks interfaces into five hierarchical stages—atoms, molecules, organisms, templates, and pages—for scalable and modular UI development.

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1187

SaaS About Page Redesign for Marketing & Employer Branding

SaaS About Page Redesign for Marketing & Employer Branding

Improving Messaging, Layout, and Visual Design to Reflect a Growing SaaS Brand

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Company

Pulumi

Role

Sr. UX/UI Designer

Tools

Figma

 

1. Overview

In Q4 2022, Pulumi set out to redesign its “About” page—transforming it from a static, generic section into a more authentic and engaging representation of the company’s mission, culture, and people. The goal was to better serve prospective customers, partners, and talent through clearer messaging and a more intentional user experience.

As the sole designer on the project, I worked closely with Product Marketing to clarify audience needs and page objectives. From there, I led content strategy, information architecture, wireframing, and prototyping—shaping a layout scalable with the company that effectively guides users through Pulumi’s story.

Team

  • Jonelle Boyd, Sr. UX/UI Designer
  • Aaron Kao, VP Marketing
  • Casey Synder, Director of People
  • Ellie Stykova, Product Manager
  • Joe Duffy, Co-Founder and CEO
  • Kimberley MacKenzie, Sr. Frontend Engineer

My UX Goals

  • Make Pulumi’s brand story more discoverable and engaging
  • Humanize the company through visual storytelling and team representation
  • Create a scalable and responsive layout that works across devices
  • Improve navigation and information flow to support diverse user needs
  • Ensure accessibility and cross-browser compatibility throughout the experience

2. Challenges

The original About page lacked essential storytelling. It didn’t communicate Pulumi’s mission, values, or history—and the visual presentation failed to reflect the personality of the company. Employee photos, once used to humanize the brand, had become unsustainable to maintain as the team scaled.

Additionally, the site had technical shortcomings:

  • Responsiveness issues across screen sizes
  • Inconsistent browser rendering
  • Poor UX hierarchy and navigability

These gaps presented a clear opportunity to rethink not just the content, but how it was structured and delivered to end users.

3. My Approach

I focused on creating a clear, engaging, and scalable About page by following these core steps:

  1. Define Audience & Goals
    Partnered with Product Marketing to identify key audiences and align on what the page should communicate to customers, partners, and potential hires.
  2. Restructure Content & Flow
    Reworked the information architecture to prioritize storytelling—leading with mission and values, then guiding users through team highlights and CTAs.
  3. Design & Prototype
    Created wireframes and interactive prototypes to explore layouts, refine content, and align visual design with Pulumi’s brand identity.
  4. Build & QA with Dev
    Collaborated with engineering to implement responsive, accessible designs and ensured cross-browser performance through QA and iteration.

Lo-Fi Mockups

Lo-Fi Wireframes

4. Inspiration

To ground the redesign in proven design principles, I referenced best-in-class About pages and storytelling patterns from companies like HubSpot, Kickstarter and Accenture. These examples informed the approach to layout, tone, and how to balance visuals with messaging. The idea of leading with a strong team presence was inspired by how companies use subtle team imagery to build trust—without overwhelming the visitor. The “Meet Our Leaders” call-to-action added depth, while hover states and social links brought a sense of interactivity and transparency.

Inspirational "About" pages

5. Impact & Broader Context

This redesign played a key role in Pulumi’s broader effort to evolve its brand expression and unify product and marketing experiences across channels. It strengthened recruitment, boosted partner relationships, and increased community awareness by delivering a consistent and authentic brand voice.

Close collaboration with the front-end team ensured the design was fully responsive and consistent across browsers, addressing long-standing technical issues. This cross-functional partnership set the stage for smoother future updates and improved alignment between marketing and engineering teams.

View Pulumi About Page Before (PDF) and After (Figma Prototype)

 About page - before and after

6. Results

By combining improved messaging, streamlined layout, and technical optimizations, the new About page has delivered clear, quantifiable gains across multiple metrics:

Key Results & Metrics

  • 2.5× increase in average time spent on the About page, signaling higher engagement with the new content and layout.

  • +45% growth in click-throughs to careers and leadership pages, showing success in guiding users deeper into the site.

  • 100% responsiveness across major screen sizes and browsers, validated through QA and Lighthouse audits.

  • 30% faster load time, achieved through design optimization and cleaner code implementation.

7. Learnings & Reflections

This project highlighted the power of storytelling in UX. I learned how to structure content for clarity and impact, collaborate across teams to align brand and tech, and design scalable, responsive layouts that strengthen trust with users.

 

UX Principle Used: Hick’s Law

The redesign applied Hick’s Law, which highlights that the more choices a user faces, the longer it takes to make a decision. By streamlining the page structure, simplifying navigation, and visually prioritizing key sections, the new design reduces decision fatigue and allows users to absorb Pulumi’s story more easily and efficiently.

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