RideNow is a large ride-hailing platform operating in 40 cities with 12M monthly active riders. Growth has slowed in mature markets, and leadership wants to run a targeted rider growth experiment rather than launch a broad, expensive incentive program.
The Growth team can fund only one major rider experiment this quarter. Historical data shows three broad rider patterns: new riders who complete 1 ride then churn, occasional riders who take 1-3 rides per month, and frequent riders who already take 8+ rides per month. Marketing argues for targeting new riders to improve activation, while Operations prefers occasional riders because supply is more predictable and the upside may be larger. Finance wants a cohort that can show measurable ROI within 8-10 weeks.
Your task is not to design the experiment itself in detail, but to identify which rider cohort should be targeted first and explain why. You should balance user need, business impact, feasibility, and downside risk. Assume the company has reliable rider-level data on trip frequency, city, tenure, promo usage, cancellations, and ride categories (commute, airport, nightlife, etc.).