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

Senior
May 2026

Summary

PM interview at DoorDash with a product sense question about handling bad user experiences on a third-party platform. Short and focused, not much else to go on.

Questions Asked (1)

Q1

How would you mitigate negative experiences on OpenTable?

Product Sense & IdeationProduct Analytics & MetricsRoot Cause Analysis
Author's notes

I spent the first minute just trying to figure out what angle they wanted.

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AI HintsAI Generated

Suggested Approach

Start by clarifying what 'negative experiences' means on OpenTable (e.g., failed reservations, poor restaurant experiences, app issues) and segment users to prioritize. Then, systematically identify root causes, propose targeted mitigations, and define success metrics to measure impact.

Pro tip: Frame your answer around the user journey and emphasize that not all negative experiences are equal—prioritize based on frequency, severity, and impact on retention. Also, consider both diner and restaurant sides of the marketplace.

1. Clarify and Segment

Define what constitutes a negative experience and identify key user segments (e.g., diners, restaurants) and scenarios (e.g., booking, dining, post-dining).

2. Identify Root Causes

For each negative experience, determine underlying causes through data analysis, user feedback, and journey mapping.

3. Prioritize Mitigations

Evaluate potential solutions based on impact, effort, and alignment with business goals; prioritize quick wins and high-impact fixes.

4. Propose Solutions

Develop specific product or process changes to address root causes, such as improving search accuracy, enhancing restaurant communication, or streamlining cancellations.

5. Measure and Iterate

Define success metrics (e.g., NPS, reservation completion rate, complaint rate) and establish a feedback loop for continuous improvement.

Key Points to Mention

  • User journey mapping to pinpoint pain points
  • Root cause analysis using data (e.g., booking failure rates, cancellation reasons)
  • Prioritization frameworks like RICE or impact/effort matrix
  • Solutions that address both diner and restaurant pain points
  • Metrics to track improvement (e.g., NPS, retention, booking success rate)
  • Iterative testing and learning (A/B tests, pilot programs)

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