MyMind

Basic info

Where AI Meets Human Needs

A platform allows users to create custom chatbots trained on their own data (documents, URLs, etc.) and embed them on websites or use them for internal automation.

Research strategy

What Could Go Wrong? Researching Before It Does

A lean research strategy guided early UX decisions.

Quick usability tests helped catch major friction points.

Creating a minimal and modern experience.

Project Overview

The Story Behind the Work

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. ✨

Timeline

2025 - 4 Months

Team

CEO, PM + 5 Engineers

Scope

Product Discovery • Knowledge Architecture • UX Strategy • Interface Design

Interviews

What’s the one question that leads to better experiences?

68%

Said core features are easy to find, but advanced features require

57%

Faced a learning curve when setting up their first chatbot without clear guidance.

83%

perceived the platform as trustworthy or very trustworthy during first use.

Persona

Turning Insights into Characters

Benchmark

What do users actually experience across similar platforms?

Usability

Reliable services built on safety and high standards.

Feature in deatil

Customizable Chat Interface & Widget Style

To explain the process, I broke down one feature and highlighted the four aspects I carefully evaluated during the project.

Solutions

Customizable Chat Interface & Widget Style

Solutions

Customizable Chat Interface & Widget Style

Guided Agent Creation Workflow

Pre-Built Agent Templates

AI Models Aligned with Regional Regulations

Real-Time Agent Testing

Blue

#57C2F3

Dark Blue

#126CC8

Light Purple

#E1D3FF

Dark Purple

#BCA4EE

Pink

#F6AED3

Dark Pink

#CF5895

Sora

Typeface

IBM Plex Sans Arabic

Results & Impact

Wrapping Up the Design Journey

Strengthened Retention & Long-Term Engagement

By focusing on ownership, satisfaction, and confident use through my design choices, I encouraged users to return more often and explore multiple features. My work established lasting habits and reduced churn.

Impact Metrics:

⬆️ 60% of users returning within the first month

⬆️ 45% of users exploring multiple features consistently

Boosted User Confidence & Satisfaction

Through my design of clear feedback mechanisms, undo/reset options, and intuitive controls, users felt more confident in their designs. My work reduced anxiety and enhanced satisfaction, making them comfortable publishing and sharing their work.

Impact Metrics:

⬆️ Customer Satisfaction Score 4.7/5 average rating on onboarding and customization

👍 25% (users reported less worry about making errors)

Improved Business & Conversion Outcomes

I designed premium, personalized customization experiences that increased perceived value and encouraged plan upgrades. My work directly contributed to higher conversions and reduced support needs.

Impact Metrics:

⬆️ 18% Paid Conversion Rate after experiencing customization features

⬇️ 55% in tickets related to onboarding/setup

Increased Engagement & Exploration

I created interactive tools and real-time previews that encouraged users to explore features and experiment with branding. By giving users control and a sense of ownership through my designs, engagement and repeated use increased.

Impact Metrics:

⬆️ 30% of users using advanced customization tools

⬇️ 15% Average Session Duration per user during initial setup

⬇️ 40% of users trying multiple features beyond the basics

Challenge faced and Lessons

Facing the Final Challenge