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Careem · Head of Design, Rides · 10 markets

The org said iterate. The research said the problem was different.


Role

Head of Product Design - Rides & Captains / Designer

I led multiple teams and designed alongside them when GTV was slipping, drivers were leaving and copying competitors was treated as the answer.

Scope

12 designers in UAE, Pakistan & Europe · 10 markets

Mobile Super-app · Product strategy · External stakeholder alignment · Org alignment · Research · Team management

Rides screens rebuilt around reliability

One month after launch

10

Markets
launched

12%

Increase in
rides completion

23%

Fewer driver
related cancellations

95%

CSAT scores
improved

142

Features redesigned
across the app

The problem

Copying competitors meant inheriting the wrong assumptions.

The conclusion inside the business was simple. Competitors were winning because their product was better.

Teams started copying flows, features and UX. That diagnosis was understandable. It was also wrong. Careem operated in different conditions, with different user behaviours and different stakes.

The research found something more specific: GPS wasn't accurate enough, and pickup points were hard to identify. When it went wrong, riders blamed unreliable captains and captains blamed unclear riders. Neither was true.

The product also treated everyone identically. A tourist using Rides once a year moved through the same number of steps as someone booking twice a day. It never got easier to use no matter how well it knew you.

The leadership challenge

The organisation was optimising for speed. I had to argue for trust.

Speed became the default response

Shipping faster was the answer to slipping performance. Every team was under pressure to move quickly and improve metrics.

Copying competitors felt like the safest path

Flows, features and UX were lifted from market leaders. It reduced risk, but carried the wrong assumptions.

Research showed the problem was different

It wasn't flow quality. Riders and captains were both losing trust in the same moments, and each blamed the other.

Moving against momentum

We slowed down, questioned assumptions and reset direction. That was not a popular position while metrics were slipping. Fixing the right problem mattered more than moving faster.

The strategic shift

I stopped copying features and rebuilt trust into the system.

I led a rapid research effort while continuing to design. We redesigned the core experiences around the moments where trust broke: cancellations, pickups, earnings transparency and communication between rider and captain.

I worked hands-on across 10 designers while aligning stakeholders across 10 markets.

This wasn't a UI update, it was a systematic rebuild of the interaction model and how the product behaved - 142 features redesigned across the app.

Anxiety versus task focus mapped across the full ride journey
Research sessions across markets, mapping where trust broke on both sides.
End to end flow for booking a ride on behalf of someone else, split into before, during and after the ride
The requestor flow, mapped before, during and after the ride.
Rides homepage intent section showing logic, scenarios and animation states
Intent logic, scenarios and animation states for the Rides homepage.
"Luke kept the team steady under pressure while shaping strategies that drove impact. He had a clear sense of priorities, helped us maintain balance and shielded us when stakeholder demands became unpredictable."

Valentina Pozzebon - Lead Product Designer, Careem

Rebuilding trust

Once the diagnosis was clear, the direction changed.

The goal was no longer to copy competitor features. It was to rebuild trust in the system. Three changes followed directly from that diagnosis.

01

Better pickup accuracy ended a blame cycle neither side could win.

Airport, mall and venue directions got smarter, with location notes, clearer walking instructions and intelligent defaults that removed the guesswork.

Pickup related cancellations fell 23% once riders and captains were finally looking at the same information.

Pick-up location selection inside a mall Walking directions to the confirmed pick-up point

02

Multi-stop rides were the most requested gap, and immediately used once it shipped.

Riders could add, reorder and search for stops mid-journey, with opening hours surfaced so a stop wasn't a wasted one.

A feature customers had been asking for directly, not one the research uncovered.

Multi-stop route with added stops Adding stops to a planned journey

03

An AI model for predicted intent became a pattern others reused.

Personalisation moved from declared preferences to predicted intent - likely destinations, repeat routes and next journeys, modelled with AI on real usage data.

Personalised Rides homepage for a returning user Travel suggestions surfaced from real usage patterns

04

Riders could see more, control more and be surprised less.

72 additional safety features, profiles built into the super-app, and full visibility across trips in one place.

Control that was visible and specific, not a generic safety statement.

Booking a ride for someone else Booking options and ride sharing controls

One month after launch

10

Markets
launched

12%

Increase in
rides completion

23%

Fewer driver
related cancellations

95%

CSAT scores
improved

142

Features redesigned
across the app

What this taught me

Rides are not transactions. They are moments where trust either holds or breaks.

The most important decision happened before a single screen was designed. It was understanding what the problem actually was.

When organisations fall behind, the instinct is to copy what works elsewhere - but a competitor's solution carries a competitor's assumptions. The harder thing is holding the line long enough to find out what's actually broken.

If growth is slowing and the instinct is to copy competitors, it's worth checking if the problem is actually different.