Yoodli

Recording Analysis Interface

Yoodli analyzes speech recordings and provides real-time feedback on metrics like filler words, pacing, clarity, and delivery. Users record practice sessions (ranging from 2-30 minutes) and receive detailed feedback afterward as the AI processes different aspects of their speech. The analysis happens asynchronously through multiple AI model calls — some return quickly, others take longer. Users should see feedback appear progressively rather than waiting for all analyses to complete. Your Task: Design how you might build the recording analysis page, where feedback streams in over time from multiple AI calls. Consider how to display recording playback, organize feedback by category as it arrives, handle varying recording lengths, and allow users to navigate between feedback and recording moments. Assumptions You May Make: Backend APIs exist to initiate analyses and to poll or stream results You have access to timestamp data linking feedback to moments in the recording Different analysis types complete at different speeds (30 seconds to 5 minutes) Multiple users may be analyzing recordings simultaneously Submit a system design sketch and video response walking us through your approach.