To find the ‘magic moment’ in a user’s journey for Robyn, I’d first analyze usage patterns to pinpoint when engagement and retention sharply increase — such as after trying a specific feature, making a first post, or reacting to a friend’s activity. I’d use tools like PostHog to map out common user flows and identify points where long‑term users diverge from those who churn early. Then I’d complement that quantitative data with qualitative feedback by conducting interviews, sending in‑app surveys, and monitoring user sentiment to understand why those moments matter. By combining behavioral data and direct user feedback, I’d pinpoint the experience that makes the app ‘click’ and can be optimized and surfaced earlier in the user journey.

One experiment I’d run is an onboarding experience A/B test to improve user retention in the first 7 days. The goal would be to test different ways of introducing new features — for example, one group sees an interactive tutorial highlighting key benefits, while another sees a quick, personalized welcome video. I’d use PostHog or Mixpanel to track user behavior and measure metrics like Day‑1 and Day‑7 retention, feature adoption, and conversion to paid tiers. I’d also use Firebase for in‑app messaging and Google Sheets/BigQuery for extracting and analyzing user data. The results would guide which experience best reduces drop‑off and improves long‑term engagement.

I love the app Airbuds because it captures how Gen Z connects — through music and genuine self‑expression. It allows you and your friends to see what each other are listening to in real time, react to songs, and transform music into a shared experience. There’s no better notification than seeing the person you’re talking to react to a song you were listening to while thinking about them. It’s a simple but powerful way to create moments of connection, making music a way to stay close, even when you’re apart.