To find the “magic moment” in a user’s journey for Robyn, I’d start by analyzing user behavior data to identify the exact point where users experience the most value or delight from the product. This usually means looking for moments when users take a key action that signals success—like completing their first project, seeing their first AI-generated video clip, or sharing content for the first time.I’d combine quantitative data (clicks, session length, feature usage) with qualitative feedback (surveys, user interviews) to understand what feels memorable or “magical” from the user’s perspective. For Robyn specifically, it might be the moment the AI automatically clips an exciting highlight from a long video, saving the user time and making their content look pro-level instantly.Once identified, I’d focus on highlighting that moment in onboarding flows or tutorials to help more users reach it quickly, increasing retention and satisfaction. Tools like Mixpanel or Amplitude can help track these behaviors, while Hotjar or user testing sessions provide insights into how users experience the product emotionally.

ne growth experiment I ran involved boosting engagement on short-form gaming videos by testing different hook styles in the first 3 seconds. I created two versions of the same clip—one starting with a dramatic action moment and another starting with a question overlay like “Can you survive this?” Then I posted both versions across TikTok and Instagram Reels, tracking retention rates and engagement using the platforms’ built-in analytics tools.

Snapchat. I love snapchat because it is a great way for teens to communicate and share there daily lives to all there friends. I also love it because it is focused on gen z but once gen z grows out of it, the next generation will take it over.