I started with supply-side stuff like content availability and localization, then moved to acquisition funnel metrics, then retention.
Start by clarifying what 'underperforming' means in this context—compare key metrics against targets or other geographies. Then systematically investigate external factors (market, competition, culture), internal factors (product, tech, marketing), and user behavior to identify root causes.
Pro tip: Show that you'd prioritize hypotheses based on potential impact and ease of testing, and propose a data-driven approach to validate them. This demonstrates product thinking and engineering pragmatism.
Clarify what metrics define performance (e.g., downloads, DAU, retention, revenue) and compare the new geography's data to targets and other regions to quantify the gap.
Investigate market-specific factors like cultural fit, local competition, regulatory environment, device/OS distribution, and network infrastructure that could impact adoption.
Check for localization issues (language, content, pricing), technical problems (latency, crashes, payment methods), and marketing effectiveness (channels, messaging) in that geography.
Look at funnel metrics (install-to-signup, engagement, retention) and user feedback (reviews, support tickets) to identify where users drop off and why.
Rank potential causes by impact and feasibility, then design experiments or A/B tests to validate the most promising ones and inform next steps.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.