I went with inflation squeezing consumer discretionary spending and gig worker supply shifting as unemployment rates change.
Start by defining the two macroeconomic trends clearly, then explain how each affects either supply (e.g., delivery drivers) or demand (e.g., customers) for Uber Eats. Use a structured framework to connect the trend to specific business impacts and potential engineering implications.
Pro tip: Tie each trend to a concrete metric or system that Uber Eats relies on (e.g., driver acquisition costs, order volume forecasting) to show you understand the product beyond abstract economics.
State the macroeconomic trend clearly and concisely, ensuring it is relevant to the near future (e.g., inflation, interest rates, labor market shifts, fuel prices, regulatory changes).
Explain whether the trend primarily affects supply (e.g., delivery partners) or demand (e.g., consumers) and why. Be specific about the direction of the effect.
Link the impact to key business metrics such as order volume, delivery time, driver retention, or customer acquisition cost. This shows product sense.
Briefly mention how this might affect engineering priorities, such as demand forecasting models, dynamic pricing algorithms, or supply-demand matching systems.
Summarize the net effect and acknowledge any uncertainties or mitigating factors, demonstrating strategic thinking.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.