I find the signal in the noise, then design the experience that acts on it.
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Open to Design Leadership roles globally.
How I identified a referral signal inside an unrelated research session, validated it with a lean MVP, navigated a mid-project commercial constraint, and shipped a programme that measurably lifted acquisition quality and platform GMV.
The talabat ADCB co-branded card had strong product value, but two documented problems limited growth: a low overall acquisition rate and a lack of user awareness of the card's benefits. Data showed that 37% of users who tapped "apply now" returned at least 3 times before completing — intent existed, but benefit comprehension was the barrier. The question wasn't whether users wanted the card. It was whether the right users were hearing about it.
During a study on a different project, a recurring pattern emerged: card holders with satisfactory experience consistently showed a tendency to promote the card within their immediate circle — without any incentive. This was not the subject of the research. But it was too consistent to set aside. It became the seed for a hypothesis: if users were already referring informally, what would happen if we made that referral easy, visible, and rewarded?
Hypothesis: making it easier for users to share the card by adding a simple "Share" button across the engagement journeys will validate whether a referral programme is worth building. We shipped it with no tracking, no incentives — just friction removal. ~10% of all users visiting the card status page tapped it. That number became the argument. I ran workshops bringing commercial, data, engineering, and product stakeholders together, defined scope, and built the service blueprint for the full programme.
the only change
we shipped
no campaign · no reward
just friction removed
A complete referrer and referee experience: entry points across card engagement journeys, a dedicated landing page, a real-time earnings tracker for the referrer, and a 3-step welcome bonus tracker for the referee.
Before launch, I proactively consulted the security team to map the reward exploitation vectors specific to the talabat ecosystem — phone spoofing, multi-account farming, inactive account abuse. Together we defined four eligibility tiers. Each user type gets a tailored version of the RaF landing page, ranging from a gated view with a recovery path to a fully active earnings dashboard.
Critical moments from the referrer and referee flows, shipped January 2025.
Mentored 3 aspiring product designers end-to-end — from UX fundamentals and storytelling to helping each land their first full-time product design role.
Currently guiding an in-house visual designer through the jump to product design.
Open to Design Leadership roles globally.