Leading Metrics for Rider Acquisition

Business Context

RideNow, a two-sided ride-hailing marketplace, launched a new rider acquisition feature: first-time visitors now see an instant fare estimate and a simplified signup flow before requesting their first ride. The Growth PM wants to know whether the feature is working before weekly revenue and 30-day rider LTV move.

Metric Scenario

In the two weeks before launch, RideNow averaged 1.2M weekly app visitors, 180K account signups, 72K first ride requests, 54K completed first rides, and $1.35M in first-30-day gross bookings from new riders. In the first 5 days after launch, traffic is flat, but the PM reports that signup completion rose from 15.0% to 17.2%, first ride request rate among new signups rose from 40% to 43%, and completed first rides rose from 30% to 33% of signups. Revenue has not moved yet because most new-rider value is realized over several weeks.

Requirements

1. Define the best leading indicators you would monitor to evaluate this feature before lagging revenue metrics mature.
2. Build a metric hierarchy from acquisition to first completed ride and early retention.
3. Identify 2-3 guardrails that would prevent a false positive from funnel improvements.
4. Explain which indicators should be read daily vs weekly, and why.
5. Describe how you would segment the metrics to determine whether gains are real and scalable.

Data Available

• app_visits: visitor_id, timestamp, platform, city, acquisition_channel, estimated_fare_shown
• signup_events: visitor_id, user_id, signup_start_ts, signup_complete_ts, referral_code
• ride_requests: user_id, request_ts, city, estimated_fare, quoted_eta, ride_id
• ride_fulfillment: ride_id, accepted_ts, completed_ts, canceled_by, driver_eta_minutes, gross_booking
• user_retention_daily: user_id, days_since_signup, opened_app, requested_ride, completed_ride