
This project was a journey where I stepped in as a Lead Product Designer to shape both strategy and direction from the ground up.
Working with Lean UX, I moved through continuous loops of learning and refining, starting with user interviews and gathering both quantitative and qualitative insights, then aligning closely with developers to ensure every decision was practical and buildable.
At the same time, I defined a soft identity for the product, shaping its colors, typography, icons, and UX writing tone from scratch.
The journey is structured in four stages:
Insights Gathering → Interface Planning → Design Execution → Testing & Iteration
The outcome made the journey meaningful for me, and I hope it feels the same to you. ✨
Hope you enjoy the journey ✈️
Scope
Product Discovery • Knowledge Architecture • UX Strategy • Interface Design
Timeline
2025 - 4 Months
Team
CEO, PM + 5 Engineers
The vision was clear: make AI assistants easy for businesses to create and deploy.
The challenge was turning that vision into a product grounded in real user needs rather than assumptions. Questions around target users, key pain points, and the MVP needed to be answered before any design decisions could be made.
The project began with research to reduce uncertainty and establish a strong product direction.
Said core features are easy to find, but advanced features require looking.
Faced a learning curve when setting up their first chatbot without clear guidance.
perceived the platform as trustworthy or very trustworthy during first use.
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To explain the process, I broke down one feature and highlighted the four aspects I carefully evaluated during the project.
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Guided Agent Creation Workflow
Pre-Built Agent Templates
AI Models Aligned with Regional Regulations
Real-Time Agent Testing
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Sora
Typeface
IBM Plex Sans Arabic












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Where User Value Comes First
Finding the Path
Knowledge Is Power (A Real Experience)
More Than Just a First Version