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Deliveroo

Director of Product Design, Delivery & Logistics

I lead Product Design, Content Design & Localisation for Delivery & Logistics at Deliveroo (now part of DoorDash) across over 40 markets globally. My work shapes the systems that connect consumers, riders, and merchants — and how millions of people experience delivery every day.

Oct 2025 — Present Maternity cover London, UK
Deliveroo rider collecting an order

Designing for a three-sided marketplace

Deliveroo is a three-sided marketplace — consumers who want great food, riders who deliver it, and merchants who prepare it. Now part of DoorDash, it operates across over 40 markets globally.

I look after the design of the systems that make this work — from how customers place orders, to how they're dispatched and routed, to what the rider sees on the ground.

It means holding several perspectives at once. What's good for speed might not be good for riders. What's efficient for the business might feel worse for customers. Getting the details wrong has real consequences for real people.

Insight-led design direction across audiences

Good direction starts with actually understanding what's happening. I use the latest AI tools to work through thousands of rider and consumer feedback signals — and find the patterns that matter.

From there, I work with Product, Engineering, and Analytics to turn those insights into a clear plan — what we're going to do, why it matters, and how we'll know it worked.

I set direction that everyone can get behind because it's grounded in real feedback, connected to business goals, and clear enough that the whole team knows where we're heading and what value it brings to our audiences.

Prioritising what matters across 135k riders

I led a cross-platform analysis of rider pain points across DoorDash, Deliveroo, and Wolt — pulling from thousands of feedback signals, research studies, and operational data to identify and prioritise 12 product opportunities ranked by impact on core delivery metrics.

The work combined qualitative research from Dovetail, quantitative data from Snowflake, and rider feedback from all three platforms — then shaped it into a clear, tiered roadmap the whole team could act on.

I built a shared understanding of where rider experience breaks down — and made a case for fixing the things that move acceptance rates, delivery times, and rider retention at the same time.

For each opportunity, I explored quick design concepts that show how these changes would feel in practice — from transparent offer screens to smarter dispatch and better last-mile guidance.

Improvements we've shipped

Many more projects I've led are currently under NDA and can't be shared publicly at this time — I'm always happy to talk through the details in conversation.

Rider onboarding optimisation

Live — 5x faster onboarding

New riders used to bounce between the app and a separate web hub just to get started. We brought the whole onboarding flow into one place, and the difference was huge — the typical rider now goes from signing up to their first delivery in 23 days, down from 116 a year ago. That's five times faster, with far fewer drop-offs along the way.

ID checks for age-restricted products

Shipped, results coming soon

Riders delivering alcohol or other age-restricted items need to verify the customer's ID. We designed a scanning flow that makes compliance straightforward — so riders aren't left guessing and customers get their orders without friction.

Welcome to Deliveroo rider login screen Rider Hub onboarding steps — sign up, upload documents, get ready to ride Check ID screen for age-restricted deliveries Deliver order screen with customer address and tip

AI as an everyday design tool

I use Cursor and ChatGPT every day — not as experiments, but as core working tools. I pull insights from feedback data, explore design concepts faster than I could alone, and build tools that change how we approach design and localisation across all DoorDash brands and markets.

It's changed how quickly we go from "I think there's a problem here" to "here's a working version we can try." I can build it, show it, and learn from it — often in the same week.

My whole team uses these tools too. Designers build their own internal tools, automate the tedious stuff, and prototype ideas that directly shape what we ship. It's not about replacing craft — it's about closing the gap between having a good idea and showing why it works.

The result: we do more with the time we have. This site was built entirely in Cursor with care and attention required to ensure a true and accurate overview of my achievements and strengths.

Building high-performing design teams

I lead Product Designers, Content Designers, and Localisation specialists — embedded across cross-functional squads with the context to make good decisions and a strong design community around them.

What matters most to me is the people. I care about my team as individuals — how they're doing, what they need, where they want to go. I create an environment where it's safe to take risks, feedback is honest, and people feel supported enough to do work they're proud of.

When people feel genuinely looked after, the quality of their work follows. The teams I'm proudest of aren't just the ones that shipped great things — they're the ones where people felt cared for.

Measurable outcomes

4.6★ App Store rating
88% Rider-app satisfaction score
$6.5M Savings delivered through delivery time, cost and efficiency improvements

Why this experience matters

  • Multiple audiences at once: Designing for consumers, riders, and partners simultaneously — what's good for one group can't come at the expense of another
  • Real stakes: Every delivery involves real money, real time, and real expectations. Trust comes from being reliable and honest
  • Cross-functional by default: Figuring out what to build with Product, Engineering, Operations, and Analytics — not designing in isolation
  • Zoom in, zoom out: Comfortable setting long-term strategy and getting into the detail of what we're shipping this week
  • AI as a daily tool: Using Cursor and ChatGPT to understand feedback, build prototypes, and help the team move faster