At Predis.ai, I led product discovery for the Reference Image feature, which lets users recreate ads with Predis.ai's catalogue or their own images. I conducted user research, translated insights into PRDs and user flows, and collaborated with design and engineering to refine requirements and launch it.
I analyzed onboarding funnels and user behavior with Mixpanel, SQL, and Microsoft Clarity to find friction and drop-off points. I also designed and A/B tested an in-product cross-format nudge that improved user retention by 23% relative to the previous result.
I built TryApprove, a client approval and collaboration portal, and acquired 100+ users through SEO, Instagram, and outbound outreach. At the MVP stage, early users became paying customers, generating $235 in revenue and $78 MRR; I also built and launched BlurTab, a privacy browser extension that gained 50+ users through organic channels.
