
Greenworks operates at the intersection of
high-consideration commerce, hardware complexity,
and lifecycle ownership. Customers must navigate tool compatibility, battery systems, property-specific needs, and post-purchase management, all within a fragmented ecosystem of experiences.
As the platform scaled, experience inconsistency, decision friction, and system-level gaps began to impact conversion, retention, and operational efficiency directly.

1000+
Patents Published
500+
Product Catalogue
4
Business Verticals
Key Case Studies
#3 Experience Overhaul
Designing Decisions,
Not Just Pages
Redesigned PDP, PLP and Dashboard experiences to clarify comparison and buying decisions, driving higher conversion, AOV, and lower bounce.
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#4 AI: My Garage
Decision Support Through Personalization
Created a personalized, signal-driven recommendation flow that adapts to user context and behavior to improve engagement and relevance across product discovery.
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Fragmented UX to Scalable Experience Strategy
How Greenworks’ Design System Enabled Platform Consistency and Speed
Tools
Figma
JIRA
Google Docs
Adobe Creative Cloud
GA4, Shopify Analytics
Role
Deliverables
Lead UX Designer
Experience Strategy
UX Foundations
-
UX principles & decision frameworks
-
Experience architecture across discovery, purchase, ownership, and AI flows
-
UX operating practices
-
quality reviews, alignment rituals, insight synthesis
-
-
Measurement model connecting UX decisions to business outcomes
Impact
↑~30%
task completion across priority journeys
↑~45%
design-to-dev handoff efficiency
6+
Coversion and retention focused initiatives
My Role
At Greenworks, I operated at a platform and systems level—owning UX foundations, decision frameworks, and cross-team alignment across multiple commerce, systems, and lifecycle surfaces.
I partnered closely with Product, Engineering, Data, and Marketing to:
Set Experience Direction
Defined UX principles and decision frameworks across the end-to-end customer lifecycle.
Establish Scalable UX Foundations
Built design systems and patterns to enable consistency, reuse, and faster execution.
Drive Insight-Led Decisions
Ensured research and behavioral data informed prioritization and design trade-offs.
Lead Platform-Level Initiatives
Owned high-impact initiatives across commerce, lifecycle, and AI-assisted experiences.
The Team
Senior VP of Sales
Sr. Director of Digital Channels & E-Commerce
IT E-Commerce Manager
Digital Marketing Coordinator
Director of Category Management
Senior Content Leader
Tech Lead
Digital Marketing Manager
Senior Lead UX Designer
That's me!
What I Heard?
As I worked closely with different teams, similar frustrations surfaced—expressed differently,
but rooted in the same gaps.
🤔 How do we know what the user wants?
😕 We don’t know which designs are final vs exploratory.
😤 We need to move faster, but consistency keeps breaking.
🤑 The only thing that matters is - Profits!
😳 We have huge inventory on the website?
😩 We’re solving the same problems again and again.
😖 There’s no shared standard or decision framework.
😵💫 We know we need to work on UX, but where do we start???
😐 Do we even need UX? It gives slow delivery.
😓 It’s hard to tie UX work to business impact.
What I Realized
Teams wanted clarity:
The challenge wasn’t resistance to UX.
It was the absence of structure.
When should
UX be involved?
How do we make decisions consistently?
UX needed to move from
helpful but optional to
predictable and trusted.
What does “good UX” mean here?
How do we know we’re improving?
Goals: Key KPI's
Conversion Rate
discovery
purchase
post-purchase journeys
Retention & Engagement
Platform velocity & scalability
stronger account ownership
lifecycle experiences
shared systems patterns
reusable components
Friction points across path
unifying flows and reducing cross-platform inconsistencies
Time to decision
faster discovery,
clearer decision-making, and streamlined actions
Support dependency
improving self-service flows and ownership tools
The Shift
Instead of asking,
“What should I design?”
I started asking,
“What system would make a better design inevitable?”
Building the Foundation
UX Culture & Education
Early on, I noticed that most UX friction wasn’t about disagreement—it was about misunderstanding.
-
Engineers weren’t sure why certain UX decisions mattered
-
Stakeholders interpreted UX feedback as subjective
-
Designers had to re-explain the rationale repeatedly
This told me the issue wasn’t skill—it was shared context.
I realized UX needed to function as a shared language, not a specialized function.
This emerged to:
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Create common principles that teams could reference
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Make design rationale explicit and reusable
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Build trust by demystifying UX decisions
UX couldn’t scale without shared understanding.
Business Alignment
In a fast-moving environment, decisions were often made based on:
-
Past experience
-
Strong opinions
-
Time pressure
Even strong UX ideas stalled when they weren’t clearly tied to business outcomes.
I began reframing UX conversations away from features and toward: Goals, Trade-offs, Impact
Ensuring that:
-
UX decisions mapped to business priorities
-
Stakeholders saw design as a strategic lever
-
Success could be discussed in terms of leadership that cared about
UX needed to speak the language of the business to earn influence.
Research-Driven Decisions
I repeatedly heard variations of:
-
“How does this help the business?”
-
“Is this worth prioritizing right now?”
This created inconsistency and repeated debates.
Instead of positioning research as a “phase,”
I treated it as decision support.
This supports to:
-
Reduce opinion-led back-and-forth
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Ground discussions in observable behavior
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Create confidence when trade-offs were necessary
Research wasn’t about validation—it was about clarity.
Cross-Channel Ideation
I noticed teams were solving problems in isolation:
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Web decisions didn’t consider app implications
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Purchase experiences didn’t connect to ownership
-
Lifecycle touchpoints were treated as afterthoughts
This fragmented the user experience.
I began stepping back and asking:
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“Where does this experience start?”
-
“Where does it actually end?”
This helped:
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Break channel silos
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Encourage end-to-end journey thinking
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Ensure experiences felt cohesive, not stitched together
Users don’t experience products in channels — they experience journeys.
Roadmap & Scale
Even when alignment existed, I saw good ideas fail because:
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Everything felt equally important
-
Teams lacked sequencing
-
UX work reacted to roadmaps instead of shaping them
I started focusing less on what we should design and more on when and why.
This helped to:
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Size opportunities realistically
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Balance quick wins with foundational work
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Ensure UX decisions aged well as the platform grew
Good UX at scale is as much about timing as it is about quality.
Strategic Pillars
Business
Alignment
Goals → Experience strategy
Stakeholder vision
KPI focus
UX Culture & Education
Shared principles
Design rationale
Cross-functional trust
Research driven Decisions
Audits
Behavioral insights User feedback loops
Roadmap & Scale
Opportunity sizing Sequencing
Platform scalability
Cross-channel
Ideation
Web + App + Lifecycle
End-to-end journeys
So collaboration felt
stable instead of disruptive.
To reduce
assumption-led execution.
So teams had a common language and reference
point.
So design decisions were grounded in impact, not preference.
Making Structure Real: The UX Operating Rhythm
Weekly
SUNDAY
MONDAY
TUESDAY
WEDNESDAY
THURSDAY
FRIDAY
SATURDAY
Focused design reviews using shared criteria
Design Documentation for exploratory vs final
Daily Huddle with Developers
Monthly
SUNDAY
MONDAY
TUESDAY
WEDNESDAY
THURSDAY
FRIDAY
SATURDAY
Week1
Week2
Week3
Week4
Experience Quality & System Health Reviews
A recurring review of shipped and in-progress work to assess experience clarity, consistency, and adherence to shared UX principles. Patterns, inconsistencies, and one-off solutions are identified early to inform design system updates and prevent downstream rework.
Cross-Functional Experience Alignment
Structured check-ins with Design, Product, and Engineering to align on priorities, trade-offs, and upcoming decisions across discovery, purchase, and ownership journeys. These conversations ensure UX intent remains intact while balancing technical and business constraints.
Insight-to-Impact Reviews
Regular synthesis of behavioral insights, audits, and feedback to connect UX decisions directly to business outcomes. These reviews surface where experience improvements influence conversion, retention, self-service efficiency, and roadmap direction.
Where I Faced the Most Friction
01
Balancing short-term delivery pressure with
long-term system thinking
02
Gaining alignment without formal authority
03
Proving value before metrics were mature
04
Introducing structure without slowing teams down
I addressed these by:
Anchoring conversations around outcomes, not artifacts
Instead of reviewing screens in isolation, I framed discussions around what problem we were solving and how success would be measured.
For example, PLP and PDP reviews focused on reducing decision friction and improving product clarity, rather
than visual polish or layout preferences.
Embedding system work inside active projects
Rather than treating the design system as a parallel initiative, I built and validated components while working on high-impact flows like PLP, PDP, and Account.
This allowed the system to evolve from real usage and ensured immediate adoption without slowing delivery.
Prioritizing adoption over perfection
I intentionally shipped a smaller, opinionated set of components that teams could trust and reuse, instead of waiting to build a “complete” system. Feedback from designers and engineers guided incremental improvements, making the system feel practical
rather than aspirational.
Measuring progress through behavioral signals, not vanity metrics
In the absence of mature UX metrics, I tracked indicators like reduced clarification cycles, increased component reuse, earlier UX involvement in planning, and fewer repeated debates—signals that UX was becoming more predictable and trusted.
Measuring Progress
Fewer repeated UX debates
“We’ve already aligned on this pattern — let’s use the system instead of reopening the discussion.”
Increased reuse of patterns and decisions
“We used the same component from PLP in Account — it worked without changes.”
Teams proactively asking how to apply UX
“Which UX principle should guide this decision?”
“Is there a recommended pattern we should
start from?”
Faster design and engineering alignment
“The specs and patterns are clear enough for us to build this directly”
Clearer linkage between UX work
and business priorities
"This aligns with the goal we’re trying to move — improving conversion without adding complexity"



