I spent too long on market sizing and not enough on what 'testing viability' actually means structurally.
Start by framing the evaluation around clear success metrics (e.g., incremental bookings, revenue, user retention) and the strategic fit for Montreal. Then propose a phased testing plan: begin with a small-scale pilot or A/B test in select neighborhoods, measure impact against a control, and use the results to decide on a full rollout. Emphasize data-driven decision-making and risk mitigation.
Pro tip: Show that you understand the difference between correlation and causation by suggesting a randomized controlled experiment (e.g., geo-based A/B test) and accounting for network effects, which are common in marketplace products like Airbnb.
Identify key metrics such as incremental restaurant bookings, revenue, user engagement, and retention. Formulate a hypothesis about how the expansion will impact these metrics.
Evaluate Montreal's market size, competition, regulatory environment, and alignment with Airbnb's overall strategy. Consider local partnerships and supply-side readiness.
Propose a geo-based A/B test or pilot in select areas of Montreal, with a control group in similar markets. Randomize at the user or neighborhood level to isolate the effect.
Collect data over a sufficient period, analyze statistical significance, and check for cannibalization or network effects. Compare against pre-defined success thresholds.
Based on results, recommend scaling, iterating, or abandoning. Outline a phased rollout plan if successful, including monitoring and iteration.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.