What I owned
Every pixel, B2C and B2B: the consumer AI chat, enterprise dashboards, payment flows, onboarding, and partner portals for three universities.

Product Design · AI · EdTech · 2024
Solo designer for a Forbes 30 Under 30 startup, redesigning AI chat, fixing payment drop-offs, and building a multi-brand design system. All at once.
Four products bleeding at once. One designer. No system, no playbook, no safety net.
engagement lift after landing redesign
The setup
Tutoruu builds AI tools that personalize learning for university students, and white-label platforms for institutional partners. Not "I contributed to some screens." Every pixel: consumer AI chat, enterprise dashboards, payment flows, onboarding, partner portals for three different universities. One designer. Thousands of users. Real stakes.
Role & constraint
Every pixel, B2C and B2B: the consumer AI chat, enterprise dashboards, payment flows, onboarding, and partner portals for three universities.
No design system, constant pivots, and a market the global playbook ignores, Egyptian students who pay with InstaPay and Fawry, not credit cards.
The problems
Hotjar heatmaps and Mixpanel data told a clear story: high bounce, low conversion. The page tried to serve B2B and B2C at once, and failed both. Users didn't know if they were a student or an institution.
Users engaged with the AI chat, then left frustrated. Session recordings showed why: they didn't know how to prompt it. Vague questions in, poor results out, churn. The AI was fine. The UX around it wasn't.
Sales flagged it, Mixpanel confirmed it. Users reached the payment screen and stopped. The platform only accepted credit cards, but the demographic was Egyptian students, low card penetration. The friction was structural, not superficial.
Multiple products, multiple teams, zero single source of truth. Every brand update meant manual rework across every product.
How it went
Hotjar heatmaps, Mixpanel funnels, and session recordings named the real problems, before I touched a pixel.
Turned every metric drop into a UX hypothesis, not a visual tweak. The AI didn't need fixing; the path to it did.
Card sorting → redesign → usability testing → two iteration rounds, all in production with real users.
The solutions
Heuristic audit → marketing alignment → competitor analysis → card sorting with 10+ users → redesign → usability testing → two iteration rounds.
Users lacked prompting skills, not willingness. The fix wasn't a better AI. It was a UX bridge.
Designed pre-built prompt templates delivered through low-friction modals, so users got value without knowing how to talk to the AI.
Students don't use credit cards. They use InstaPay and Fawry.
Added both rails, then restructured pricing tiers using anchoring and the decoy effect.
Built a variables-based token architecture with multi-brand theming, exported to JSON for dev handoff, validated in Storybook.
By the numbers
engagement lift
university partner portals
new payment rails added
designer, every pixel
The AI was fine. The UX around it wasn't.
Gallery
The screens behind the story. High-fidelity shots landing soon.
Reflection
The design system should have come first. Once it shipped, brand changes dropped from days to minutes and every product got more consistent overnight. Next 0→1: system before screens.
Next case · 02
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