I went straight to bookings volume and kind of had to walk myself back from that.
Start by clarifying the feature's goal and the business travel segment's unique needs, then define a metric hierarchy from top-line business outcomes to granular engagement metrics. Propose a measurement plan that includes both leading and lagging indicators, and suggest an A/B test or quasi-experimental design to isolate the feature's impact.
Pro tip: Emphasize that business travel success isn't just about bookings—it's about repeat usage and policy compliance, so include metrics like repeat booking rate and expense integration. Also, mention the importance of segmenting by traveler type (e.g., solo vs. team) to avoid misleading averages.
Ask clarifying questions to understand what the feature is (e.g., business travel portal, expense integration) and its intended outcome (e.g., increase business travel bookings, attract corporate accounts).
Identify a north-star metric (e.g., business travel bookings) and supporting metrics across the funnel: awareness, adoption, engagement, retention, and satisfaction. Include both quantitative and qualitative measures.
Propose an A/B test or holdout group to measure causal impact. If randomization isn't possible, suggest quasi-experimental methods like difference-in-differences or propensity score matching.
Break down results by traveler type, company size, region, and other relevant dimensions to uncover heterogeneous effects and actionable insights.
Based on results, recommend whether to double down, iterate, or kill the feature. Define thresholds for success and next steps for optimization.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.