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Mektoube / Consumer mobile · Product strategy

Give people a reason to start a conversation.

At a marriage-focused dating platform, I worked with the CEO to turn behavioural patterns into product hypotheses, then designed the experience through to delivery.

My role
Head of Product & Product Designer
Collaborators
CEO · Marketing / Customer Support
Engineering & QA
Scope & experience period
Behavioural analysis · Discovery · UX/UI
Mektoube, 2023–2026
The case in 30 secondsGo to decisions ↓

The problem

More invitations did not automatically become reciprocal conversations.

The decision

Use profile context and existing compatibility signals to make the first interaction more meaningful.

My contribution

Contextual likes, richer profiles and recommendation experiments, followed through delivery.

Mektoube — Give people a reason to start a conversation.
01 / Context

More invitations did not automatically mean better connections.

The useful outcome was not the tap on an invitation. It was a conversation that someone wanted to join and continue. We looked at activation, acceptance, conversation starts, reciprocal exchanges and premium conversion to understand where the experience stopped working.

The point

The product question shifted from “How do we generate more interactions?” to “What makes a first interaction worth answering?”

02 / Insight

Context made the first move easier to understand.

Interactions connected to a photo, an icebreaker or a profile detail gave the recipient a reason to engage. Generic invitations carried less information. I combined behavioural analysis with user research to turn that pattern into concrete changes.

A richer starting point

Use onboarding to help people build profiles with something to respond to.

A more specific first move

Attach a like to something on the profile and improve the icebreakers.

03 / Product decisions

Make existing compatibility signals useful to people.

The recommendation engine already calculated compatibility, but that signal was not visible to users. We tested a recommendation experience organised around compatibility rather than chronological discovery. The experiment informed Super Match: fewer profiles, with stronger conversation potential.

Behavioural signalProduct hypothesisExperimentObserve & iterate
Original Mektoube interfaces from the project. The product work connected profile context with the first interaction.
04 / My contribution

From the question in the dashboard to the details in production.

I owned behavioural analysis, product discovery, research, experiment definition, interaction design, UX writing and delivery with engineering and QA. Working directly with the CEO kept product priorities close to both user behaviour and business constraints.

05 / Results & learning

Measure the connection, not just the click.

Across the Mektoube initiatives reported in my CV, post-onboarding retention increased by 34% and invitation-to-conversation conversion by 12%. These are programme-level results across multiple changes, not the isolated effect of one screen.

+34%Post-onboarding retention
+12%Invitation → conversation
End to endDiscovery through delivery
The point

Behavioural data tells me where to look. The design work is understanding what people need at that moment.

Evidence & scope

Figures reported in my CV. Measurement windows, baselines and attribution detail are not published here.

Next project / Mektoube

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A role, a team, a product to build

Let’s make something useful.

Tell me about your product, the decisions ahead and where you need design to make a difference.

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