Strategy question

How would you manage the traffic on train stations?

Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.

What this question tests

Tests operational problem-solving for a physical crowd-flow system, requiring the candidate to identify root causes before proposing fixes.

Clarify the specific problem: peak-hour overcrowding on platforms, congestion at entry and exit gates, or inefficient passenger flow between lines.
Segment the causes: predictable peak-hour surges (commute times) versus unpredictable spikes (events, disruptions).
Use existing data sources: ticket gate timestamps and platform sensors to identify the specific bottleneck points and times.
Propose layered fixes: staggered or incentivized off-peak travel pricing, real-time crowd-density displays guiding passengers to less congested platforms or cars, and physical flow changes like separate entry and exit gates.
Weigh cost and speed of each fix, prioritizing low-cost signage and pricing changes over capital-intensive infrastructure changes.
Define success as reduced peak-hour platform density and fewer safety incidents or near-misses.

Separates predictable peak demand from unpredictable disruption-driven crowding, since each needs a different fix.
Proposes both a demand-side fix (off-peak pricing) and a supply-side fix (real-time crowd display), covering both directions.
Uses illustrative numbers as assumptions: assume 40% of daily ridership occurs in two 90-minute peak windows, making off-peak incentives the highest-leverage fix.
Prioritizes low-cost fixes like signage and pricing over expensive infrastructure changes, showing pragmatic sequencing.

Jumping straight to expensive infrastructure changes without considering lower-cost fixes first.
Not distinguishing predictable commute peaks from one-off event-driven crowding.
Ignoring safety as a success metric, not just throughput.

How would you use real-time data to manage crowding during an unplanned disruption?
What's the trade-off with off-peak pricing incentives?
How would you measure whether the fix improved safety, not just flow?