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DoorDash·Software Engineer·Technical Phone Screen·Intermediate

Intermediate
May 2026

Summary

DoorDash data analyst interview with a product metrics question about bikes as a Dasher transport option. Pretty open-ended, which I wasn't fully prepared for.

Questions Asked (1)

Q1

If DoorDash introduced bikes as a transportation option for Dashers, what metric would you use to measure whether the launch was successful?

Product Analytics & MetricsProduct StrategyAdaptability & Ambiguity
Author's notes

I went straight to delivery time and they pushed back almost immediately, asking why not something else.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the goal of the bike launch—likely to expand Dasher supply in dense urban areas and reduce costs. Then propose a primary metric that directly measures success against that goal, such as the percentage of deliveries completed by bike in target markets, and support it with secondary metrics for a balanced view.

Pro tip: Acknowledge that no single metric tells the whole story; pair your primary metric with guardrail metrics to ensure you're not optimizing one area at the expense of another. Also, mention that you'd validate the metric by running a pilot in select markets before scaling.

1. Clarify the goal

Ask or state the primary objective of introducing bikes: is it to increase Dasher supply, reduce delivery costs, improve speed in dense areas, or something else? This ensures your metric aligns with business intent.

2. Choose a primary metric

Select a metric that directly measures the goal, such as 'percentage of deliveries completed by bike' or 'bike Dasher active hours per week in target markets.' This should be the key indicator of success.

3. Add secondary metrics

Include metrics that capture other important aspects, like average delivery time, cost per delivery, Dasher satisfaction, and customer satisfaction. These provide a more complete picture.

4. Define guardrail metrics

Identify metrics that should not degrade, such as overall delivery reliability, food quality, or safety incidents. This ensures the bike launch doesn't harm other parts of the business.

5. Consider segmentation and timeframe

Specify how you'd measure the metric across different markets, Dasher segments, and time periods (e.g., 3-month pilot). This adds rigor and shows you think about implementation.

Key Points to Mention

  • Alignment with business goal: The metric should directly reflect the intended outcome of the bike launch.
  • Primary metric example: Percentage of deliveries completed by bike in target markets.
  • Secondary metrics: Delivery time, cost per delivery, Dasher and customer satisfaction.
  • Guardrail metrics: Overall delivery success rate, safety incidents, and customer complaints.
  • Segmentation: Measure by market density, weather conditions, and Dasher experience level.
  • Pilot approach: Suggest testing in select markets to validate the metric before full rollout.

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