Details
Role: Product Designer
Objective: The objective is to design an ai assistant platform enabling content creators create premium content, detect plagiarism, access multiple user personas, and use a host of other sophisticated AI tools.
Platform: Web
Task
I was brought on to merge advanced AI features with a conversation-driven, user-friendly design. My goal was to streamline everything from onboarding to content generation, embedding essential AI design principles like transparency, user control, and clarity. At the same time, I needed to develop a conversational flow that felt natural—providing just-in-time guidance without overwhelming people with jargon.
Result
Increased User Adoption: Newcomers found the platform more approachable, contributing to a 40% rise in sign-ups during the beta phase.
Reduced Support Tickets: Conversation prompts and contextual help minimized user confusion, resulting in a 35% drop in support requests.
Positive User Sentiment: Surveys revealed that 90% of users appreciated the system’s natural guidance and clarity in AI-driven features.
Situation
When I joined the AiListz team, we had a powerful idea: an all-in-one platform for AI-driven content creation—text, images, code, and more. The concept was strong, but early feedback revealed a gap between the platform’s advanced capabilities and the everyday user’s comfort level. Newcomers were intimidated by the technology. Content creators and entrepreneurs wanted more intuitive ways to engage with AI, while experienced users demanded deeper customization.
Action
User-Centric Research
I interviewed bloggers, marketers, and developers to understand their frustrations when trying AI tools. They often found them confusing or poorly integrated into real workflows. This insight shaped my blueprint for a simple yet robust interface.
AI Design Principles and Conversation Design
I applied a consistent “show, don’t tell” approach. Rather than dropping users into complex settings, I created guided prompts and tooltips that explained each feature step by step.
For conversation design, I introduced a chatbot interface that recognized context and responded with relevant suggestions. This let users feel like they were getting live assistance instead of scrolling through static FAQs.
Iterative Wireframes and High-Fidelity Prototypes
I produced low-fidelity sketches to outline user journeys—from signing up to generating content. Through multiple tests, I discovered points where people got stuck, so I refined the conversation flow, simplified menu labels, and added “help me decide” suggestions for template selection.
After ironing out navigation issues, I built high-fidelity prototypes incorporating brand colors, clear icons, and natural language placeholders. Each feature—like AI Image Generator or AI Speech to Text—had a consistent layout and intuitive instructions.
Implementation and Testing
Working closely with developers, I ensured the chatbot’s prompts were context-aware. We also integrated a brand guidelines assistant to automatically apply voice, tone, and style.
We ran beta sessions with entrepreneurs and marketers, observing how they interacted with the entire system. Feedback led to more flexible payment options and multi-lingual support to accommodate global audiences.
