Senior product designer bridging human impact and technical complexity. Builds enterprise platforms, consumer products, and campaigns at companies like Etsy and Uber.

Ghost

Zero-to-one logistics platform at enterprise scale

Ghost is a private distribution platform for the world’s best brands. Operations teams support millions in monthly volume but spent 4-6 hours daily managing freight across 5+ disconnected tools.

^ New comprehensive, consolidated tooling

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My Role

  • End-to-end strategy and design

  • Cross-functional alignment across 8 roles

  • Balance of competing technical constraints

Impact

  • Unified freight platform (nine-figure AOV)

  • 75% reduction in manual work

  • Replacement of third party tools

Business Challenge

Operations managed shipments across disconnected tools. This strategic gap interrupted audit trails and lengthening ship times. Leadership tasked me with consolidating workflows, designing a zero-to-one freight product.

^ Workflow chaos (from quotes to buyer/seller communications to booking)

Breaking Down the Problem

The ultimate challenge wasn't building a freight tool but navigating technical and organizational constraints.

I needed to integrate with existing systems not replace them, our third-party shipping provider had rigid API requirements that didn't map to our data models, and our 8 user roles had opposing needs.

^ Early explorations

Architecturally, I was designing for two distinct experiences: feature-rich admin dashboard and a simplified buyer flow.

^ Internal and externai touchpoints

Impact

My unified platform yielded:

  • 75% reduction in manual work

  • Support for multi-millions of monthly order value

  • Built-in document compliance for each order’s significant paper trail

  • Automated financial reporting and reconciliation

^ Mobile buyer experience

Looking Back

  • Given the mass scope I’d leverage rapid prototyping earlier to de-risk faster

  • Constraints drove better design

Operations leadership and I also ideated leveraging our internal AI-powered assistant for historical freight insights and real-time tracking.

^ Future idea for real-time insights via AI-powered chat

Ghost

Payment flexibility for hundreds of merchants

Ghost’s B2B payment functionality was narrow with low adoption. Significant manual involvement was required to support multi-millions in weekly order values.

^ Expanded functionality in redesigned payments product

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My Role

  • Led end-to-end research, design, and delivery

  • Aligned leadership across 3 organizations

  • Designed product flexibility and operational control

Impact

  • 24% adoption to 96%

  • 1,000 monthly hours saved (6 FTE equivalent)

  • Zero failures across $47M in transactions

  • Streamlined infrastructure and operational workflow

  • Shortened deal lifecycle

^ Extremely limited capabilities in legacy product

Business Challenge

Our rigid system couldn't serve clients ranging from single-person shops to Fortune 500 companies.

Ghost’s customer retention and competitive advantage were threatened. Finance manually reconciled 76% of payments across three systems, and 40% of orders were delayed awaiting payment.

^ Numerous payment scenarios to support / Workflow discovery

Breaking Down the Problem

Auditing 150 deals revealed operational chaos: Numerous use cases, API rate limits, 10 payment statuses, 40+ handoffs per deal. 78% of deals required fully custom terms, all manual, not to mention stakeholders with competing needs.

^ Comprehensive fulfillment blueprint

Approach & Solution

I embedded with Operations and Finance, experiencing their laborious workflows firsthand, and developed a service blueprint.

My PM, eng leads, and I targeted the payments flow and mapped out expanded functionality across dual tracks:

  • Product: Event-based triggers, installment flexibility (10+), multiple payment methods

  • Operations: Deal acceptance payment terms, templatized term options, Finance approval gates

^ Flexible payment plans

Impact

Within 3 weeks of launch we saw:

  • A 57% reduction in operational toil (35hrs → 15hrs/deal)

  • Zero failures across $47M in payments

  • Usage rise to 96%, and event-based triggers influenced platform-wide milestone tracking

^ Refined buyer experience

Looking Back

  • Engineering partnership was critical for navigating constraints

  •  Influencing operational efficiency can be just as impactful as UI refinement

Etsy

$1.1M+ quarterly GMS through video adoption

Etsy sellers were missing out on 2x in sales by not using listing videos.

^ Listing videos drive sales on Etsy

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My Role

  • Led design across three seller teams

  • Facilitated 24-person strategic Discovery 

  • Aligned cross-functional leadership

  • Designed progressively sophisticated A/B experiments

Impact

  • Drove $1.1M+ quarter GMS

  • Established repeatable experimentation framework

  • Shaped roadmap across 5 strategic themes

^ Phased experimentation approach / Competitive audit for Discovery workshop

Business Challenge

Despite a video significantly increasing GMS only 15% of active listings included one. During research we learned that sellers didn't believe videos were worth their time.

Breaking Down the Problem

To learn more about adoption I built a phased experiment strategy, orchestrated across three teams with competing priorities.

Each experiment integrated learnings, and design-led discussions kept partner teams aligned throughout.

^ Brainstorm output

Dual Track Approach

In parallel, I planned and facilitated Discovery workshops with 24 stakeholders to deepen understanding and inform our roadmap.

Impact

The experiments drove $1.1M+ in GMS in one quarter and continued increasing video coverage. Workshops generated a roadmap of 40+ features across five themes that powered our next quarters of work.

^ Mobile experiment

Looking Back

  • Phased experimentation built stakeholder buy-in through early wins

  • Dual paths drove velocity

Ghost

AI-powered validation in hours, not weeks

Rapid prototyping leveraging AI tools (Lovable, Claude, Cursor) evolved how my team at Ghost validated internal tooling explorations.

^ Using Lovable to test logic

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My Role

  • Explored AI products and built prototypes

  • Paired with PM/eng and external partners to refine

  • Aligned with cross-functional leadership

Impact

  • Tested assumptions in real-time

  • Roadmap informed by stakeholder feedback

  • Higher confidence in rapid iteration quality

The Challenge

Our team’s domain was exceptionally broad and deeply technical. We needed a way to shorten feedback loops, learn quickly, and rescope with confidence.

Approach 1 (Lovable & Claude)

Collecting deal terms involved complex, conditional shipping data. I created an interactive prototype with foundational logic that could be modified based on partner feedback.

^ Shipping questionnaire prototype

Approach 2 (TableFlow partnership)

Partnered with third party to create custom integration for order splitting and reconciliation. It automated a highly manual process, and informed how our platform should be shaped.

^ Order splitting and reconciliation automation

Approach 3 (Cursor & pairing)

The lead engineer vibe coded a shipping calculator while we paired on data modeling, enabling faster design refinements and accelerating partner delivery.

^ In-platform freight calculator

Learnings

This builds on my Etsy work running a 400-seller prototype group testing 14 features.

  • Invalidate early to reduce waste

  • Tangible experiences can outperform presenting polished concepts

Ghost

AI-powered validation in hours, not weeks

Rapid prototyping leveraging AI tools (Lovable, Claude, Cursor) evolved how my team at Ghost validated internal tooling explorations.

^ Using Lovable to test logic

__

My Role

  • Explored AI products and built prototypes

  • Paired with PM/eng and external partners to refine

  • Aligned with cross-functional leadership

Impact

  • Tested assumptions in real-time

  • Roadmap informed by stakeholder feedback

  • Higher confidence in rapid iteration quality

The Challenge

Our team’s domain was exceptionally broad and deeply technical. We needed a way to shorten feedback loops, learn quickly, and rescope with confidence.

Approach 1 (Lovable & Claude)

Collecting deal terms involved complex, conditional shipping data. I created an interactive prototype with foundational logic that could be modified based on partner feedback.

^ Shipping questionnaire prototype

Approach 2 (TableFlow partnership)

Partnered with third party to create custom integration for order splitting and reconciliation. It automated a highly manual process, and informed how our platform should be shaped.

^ Order splitting and reconciliation automation

Approach 3 (Cursor & pairing)

The lead engineer vibe coded a shipping calculator while we paired on data modeling, enabling faster design refinements and accelerating partner delivery.

^ In-platform freight calculator

Learnings

This builds on my Etsy work running a 400-seller prototype group testing 14 features.

  • Invalidate early to reduce waste

  • Tangible experiences can outperform presenting polished concepts

Ghost

AI-powered validation in hours, not weeks

Rapid prototyping leveraging AI tools (Lovable, Claude, Cursor) evolved how my team at Ghost validated internal tooling explorations.

^ Using Lovable to test logic

__

My Role

  • Explored AI products and built prototypes

  • Paired with PM/eng and external partners to refine

  • Aligned with cross-functional leadership

Impact

  • Tested assumptions in real-time

  • Roadmap informed by stakeholder feedback

  • Higher confidence in rapid iteration quality

The Challenge

Our team’s domain was exceptionally broad and deeply technical. We needed a way to shorten feedback loops, learn quickly, and rescope with confidence.

Approach 1 (Lovable & Claude)

Collecting deal terms involved complex, conditional shipping data. I created an interactive prototype with foundational logic that could be modified based on partner feedback.

^ Shipping questionnaire prototype

Approach 2 (TableFlow partnership)

Partnered with third party to create custom integration for order splitting and reconciliation. It automated a highly manual process, and informed how our platform should be shaped.

^ Order splitting and reconciliation automation

Approach 3 (Cursor & pairing)

The lead engineer vibe coded a shipping calculator while we paired on data modeling, enabling faster design refinements and accelerating partner delivery.

^ In-platform freight calculator

Learnings

This builds on my Etsy work running a 400-seller prototype group testing 14 features.

  • Invalidate early to reduce waste

  • Tangible experiences can outperform presenting polished concepts

Ghost

AI-powered validation in hours, not weeks

Rapid prototyping leveraging AI tools (Lovable, Claude, Cursor) evolved how my team at Ghost validated internal tooling explorations.

^ Using Lovable to test logic

__

My Role

  • Explored AI products and built prototypes

  • Paired with PM/eng and external partners to refine

  • Aligned with cross-functional leadership

Impact

  • Tested assumptions in real-time

  • Roadmap informed by stakeholder feedback

  • Higher confidence in rapid iteration quality

The Challenge

Our team’s domain was exceptionally broad and deeply technical. We needed a way to shorten feedback loops, learn quickly, and rescope with confidence.

Approach 1 (Lovable & Claude)

Collecting deal terms involved complex, conditional shipping data. I created an interactive prototype with foundational logic that could be modified based on partner feedback.

^ Shipping questionnaire prototype

Approach 2 (TableFlow partnership)

Partnered with third party to create custom integration for order splitting and reconciliation. It automated a highly manual process, and informed how our platform should be shaped.

^ Order splitting and reconciliation automation

Approach 3 (Cursor & pairing)

The lead engineer vibe coded a shipping calculator while we paired on data modeling, enabling faster design refinements and accelerating partner delivery.

^ In-platform freight calculator

Learnings

This builds on my Etsy work running a 400-seller prototype group testing 14 features.

  • Invalidate early to reduce waste

  • Tangible experiences can outperform presenting polished concepts