What problem does it solve? Product teams often know that two user groups differ in outcomes (converters vs. drop-offs, retained vs. churned) but lack concrete evidence of how their in-product behavior actually differs. This Skill combines quantitative metrics with qualitative session replay analysis to reveal the specific actions that separate one group from another. ## Core Features & Use Cases - Behavioral Diff Analysis: Watches session replays from both groups and identifies actions present in one group but absent in the other, ranked by explanatory power. - Quantitative Grounding: Queries Amplitude charts and funnels segmented by group to establish statistical context before reviewing replays. - Actionable Hypotheses: Generates experiment-ready hypotheses in the form "If we change X, Group B behavior should shift toward Group A behavior." - Use Case: A PM asks "what do users who complete onboarding do differently?" The Skill compares activators vs. drop-offs, discovering that activators browse templates while drop-offs skip them, then recommends surfacing templates earlier. ## Quick Start Ask the assistant to compare what users who complete onboarding do differently from those who drop off using Amplitude session replays.
