44
Screens redesigned
Designing a creator platform through research, product strategy, rapid iteration, and live experimentation.
genFEED is a platform for AI video creators to publish their work, build a recognizable creator identity, and get discovered. I initially joined the product for a four-week design trial and continued working with the team after it. My work evolved from product discovery and UX research into a broader redesign that is now running as a live A/B experiment against the existing product.
I worked across the product from early discovery to live experimentation, connecting research, product strategy, UX decisions, and execution.
44
Screens redesigned
2
Product ver. compared
1
Live experiment
I started by understanding the product beyond its interface: who genFEED was for, how creators currently share AI video work, where the product sat in the broader creator ecosystem, and where the existing experience was losing value. I combined business-model work, ICP definition, market and competitor research, product analytics, and an early UX/UI audit before moving into solutions.
Business model
ICP
Market & Competitors
Product Data
UX Audit
User Research
I interviewed AI video creators to challenge the assumptions from the initial research and better understand what they needed from a creator-focused platform.
Insight 1
A place to own their identity
Creators wanted more than another feed - they needed a permanent home for their AI video work.
Insight 2
Better discovery
Generic platforms made it difficult for AI creators and their work to stand out.
Insight 3
Context around the work matters
Tools, models, workflows, and creative process are part of how AI creators present themselves.
Insight 4
Recognition creates value
Visibility, feedback, community, potential clients, and future monetisation all mattered.
Research and product data pointed to a larger problem than individual UI issues: genFEED was already attracting attention, but the experience was not converting that reach into a strong creator relationship.
Opportunity 1
Activation
Turn anonymous traffic into registered users and creators.
Opportunity 2
Creator identity
Make the profile valuable enough to become a creator's permanent AI-video home.
Opportunity 3
Discovery
Build browsing around AI-specific creators, tools, and content rather than generic social patterns.
Opportunity 4
Engagement & retention
Create stronger reasons to interact, follow creators, and return.
Instead of redesigning screens independently, I mapped the key creator flows across the product to understand how people create, curate, share, and grow their presence.
This helped me connect onboarding, publishing, profile building, sharing, and engagement into one clearer product system — and identify where the experience needed simplification, stronger continuity, and better growth loops.
The redesign focused on simplifying the product around stronger creator journeys while testing how discovery, identity, and sharing could drive deeper engagement.
The existing experience had grown across multiple destinations and overlapping paths. In Design V2, I simplified the sitemap and reduced the number of pages so the product could revolve around fewer, stronger destinations.
The homepage became less about simply presenting a feed and more about helping users understand what genFEED offers, discover relevant work, and move deeper into the creator ecosystem.
The profile became one of the central product bets. Instead of treating it as an account page, I designed it as a creator portfolio that could be shared outside genFEED — a persistent home for a creator's AI video identity. The Share experience became the Superfeature: the profile itself could help bring new viewers back into the product.
The redesign expanded beyond the initial concepts into a full product pass. I redesigned 44 screens, worked through states and edge cases, adapted V2 for mobile, and designed web experiences for both logged-in and logged-out users.
The process is intentionally fast and iterative: I work closely with the founder and developer several times a week, often moving from rough product ideas to implemented iterations without over-polishing early concepts.
Design V2 is currently running against Design V1 as a live product experiment. The treatment bundles the new homepage, simplified navigation / architecture, and redesigned creator profiles, so the test measures the combined experience.
My role also extends into Growth discussions and experiments around how creators discover and enter the product. One creator-outreach experiment tested four different messages across 400 recipients. 382 emails were delivered and five verified accounts were matched to the campaign; one of those creators reached READY uploads. Monetisation produced three observed signups and One home two, but the groups were not randomized, so the result is useful as a signal rather than proof of a winning message.
Design V2 is still a live learning experiment. The early data suggests stronger browsing and a larger role for creator profiles, but the sample is still small and there is no demonstrated retention uplift yet. I am continuing to iterate with the founder and developer while using the experiment to understand what actually changes creator behavior rather than treating the redesign itself as the outcome.
Shipped to experiment
Design V2 is live
33%
Live treatment
Learning in progress
Results are directional