Meta·Product Manager·Onsite - Product Sense / Strategy·Senior

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Apr 2026Menlo Park

Summary

Interviewed at Meta for a product role and got hit with a classic operations-meets-product question about campus shuttle logistics. Not a lot of context in the original post but the question itself is pretty meaty if you actually dig into it.

Questions Asked (1)

How would you decide whether to run shuttles at Facebook's Menlo Park campus on a fixed schedule versus on-demand?

Product StrategyProduct Analytics & MetricsRoadmap Prioritization

Author's notes

I actually liked this question more than I expected to.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the goal: is it to optimize cost, wait times, or employee satisfaction? Then propose a data-driven framework that segments demand by time, location, and user type, and evaluates trade-offs between fixed and on-demand models. Conclude with a recommendation that may blend both approaches, supported by metrics and a pilot plan.

Pro tip: Acknowledge that this is a classic trade-off between efficiency and flexibility, and suggest a hybrid solution (e.g., fixed schedule during peak hours, on-demand otherwise) to show nuanced thinking. Also, emphasize the importance of defining success metrics upfront and running a pilot to validate assumptions before scaling.

1. Clarify Objectives and Constraints

Ask clarifying questions to understand the primary goal (e.g., reduce wait times, minimize cost, improve employee satisfaction) and constraints (budget, fleet size, campus layout).

2. Analyze Demand Patterns

Gather data on shuttle usage: peak times, popular routes, user segments (e.g., employees, visitors), and variability. Identify predictable vs. unpredictable demand.

3. Evaluate Trade-offs

Compare fixed schedule vs. on-demand on key dimensions: cost per ride, average wait time, operational complexity, and user experience. Consider hybrid models.

4. Define Success Metrics

Propose metrics such as average wait time, cost per passenger, utilization rate, and user satisfaction. Set targets for each.

5. Recommend and Pilot

Based on analysis, recommend an approach (e.g., hybrid) and suggest a pilot to test it, with clear evaluation criteria and a plan to iterate.

Key Points to Mention

Cost efficiency: fixed schedules can reduce per-ride cost if demand is predictable, but on-demand may be more cost-effective during off-peak.
User experience: on-demand reduces wait times but may increase uncertainty; fixed schedules provide reliability but can lead to empty shuttles.
Data-driven decision: use historical usage data, surveys, and A/B testing to inform the choice.
Hybrid approach: run fixed schedules during peak hours and on-demand during off-peak to balance efficiency and flexibility.
Scalability and operational complexity: on-demand requires dynamic routing and real-time tracking, which may be complex to implement.
Pilot and iterate: start with a small-scale pilot to measure impact and refine before full rollout.

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.