problem
Most businesses relied on basic email tools that lacked automation or personalization. Teams spent hours uploading contacts, building campaigns, and sending bulk messages, yet the results often felt irrelevant to recipients. There was no intelligent way to tailor content at scale or track performance with precision.
my process
I started by talking to marketing managers, small business owners, and content creators to understand how they built and sent campaigns. Their feedback highlighted the need for automation, personalization, and better insights. Using these findings, I mapped workflows that combined user-friendly design with AI-driven intelligence.
DISCOVERY & RESEARCH
At this stage, I mapped out pain points, drafted assumptions, and bounced around early ideas in FigJam, from must-have MVP features to future possibilities. The goal was not to be precise, but to open the space for experimentation and see how AI could transform every step of the workflow.
user personas
The solution targets small to mid-sized businesses and marketing teams that need to manage large contact lists but lack advanced tools or the resources to personalize campaigns at scale.
Here are 4 user stories that the platform must support
As a marketing manager, I want to upload a large contact list and have the system validate emails automatically, so I don’t waste time on invalid entries.
As a marketing manager, I want to upload a large contact list and have the system validate emails automatically, so I don’t waste time on invalid entries.
As a marketing manager, I want to upload a large contact list and have the system validate emails automatically, so I don’t waste time on invalid entries.
As a marketing manager, I want to upload a large contact list and have the system validate emails automatically, so I don’t waste time on invalid entries.
information architecture
The system architecture broke down into three clear phases:
Contact Management → Upload, categorize, and validate contacts
AI Email Generation → Select lists, configure templates, and let AI suggest or auto-generate personalized content
Campaign Distribution → Review, test, and launch with performance tracking built-in
Early concept testing
Before moving into detailed design, I used V0, an AI-powered prototyping tool, to quickly generate early layouts and workflows. I was able to:
Explore multiple dashboard variations in minutes
Validate AI-assisted copy within the UI
V0 accelerated ideation, allowing me to test ideas before committing to high-fidelity designs.
design execution
With user needs in mind, we shaped an AI-powered feature set that made campaigns faster, smarter, and more impactful:
