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Fix unclear delivery addresses

Last updated: Mar 29, 2026

Quick Overview

Diagnose and fix unclear delivery addresses in a marketplace delivery product. Covers root-cause analysis, risky-address detection, address validation, courier recovery, metrics, guardrails, and phased rollout.

  • medium
  • Uber
  • Product / Decision Making
  • Technical Program Manager

Fix unclear delivery addresses

Company: Uber

Role: Technical Program Manager

Category: Product / Decision Making

Difficulty: medium

Interview Round: Technical Screen

A customer does not receive a delivery because the delivery address is unclear. As a product or operations leader, explain how you would diagnose the root cause, prioritize solutions, and improve the delivery experience for both customers and couriers. ### Constraints & Assumptions - Do not jump straight to one feature; first define the failure mode and quantify impact. - Consider the full journey: address entry, geocoding, pin placement, courier navigation, arrival, contact, and handoff. - Balance prevention with recovery when a courier is already at the destination. - Avoid adding unnecessary checkout friction for low-risk orders. ### Clarifying Questions to Ask - What does "does not receive delivery" mean: cancellation, refund, wrong dropoff, late handoff, or customer unavailable? - Which markets, address types, and order types are most affected? - Are failures concentrated in apartments, campuses, malls, offices, hotels, or new developments? - What data do we have on geocoding confidence, courier wait time, support contacts, and refunds? ### What a Strong Answer Covers - Root-cause analysis across the delivery funnel. - Segmentation by market, building type, platform, order type, and user history. - Prioritized solutions using impact, reach, confidence, and effort. - Preventive customer-side fixes and courier-side recovery tools. - Metrics and guardrails for reliability, conversion, courier experience, privacy, and cost. ### Follow-up Questions - How would you detect a risky address before checkout? - How would you design the courier recovery flow? - What data would you store from successful handoffs? - How would you avoid making checkout worse for most users?

Quick Answer: Diagnose and fix unclear delivery addresses in a marketplace delivery product. Covers root-cause analysis, risky-address detection, address validation, courier recovery, metrics, guardrails, and phased rollout.

|Home/Product / Decision Making/Uber

Fix unclear delivery addresses

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Uber
May 1, 2025, 12:00 AM
mediumTechnical Program ManagerTechnical ScreenProduct / Decision Making
4
0

A customer does not receive a delivery because the delivery address is unclear.

As a product or operations leader, explain how you would diagnose the root cause, prioritize solutions, and improve the delivery experience for both customers and couriers.

Constraints & Assumptions

  • Do not jump straight to one feature; first define the failure mode and quantify impact.
  • Consider the full journey: address entry, geocoding, pin placement, courier navigation, arrival, contact, and handoff.
  • Balance prevention with recovery when a courier is already at the destination.
  • Avoid adding unnecessary checkout friction for low-risk orders.

Clarifying Questions to Ask

  • What does "does not receive delivery" mean: cancellation, refund, wrong dropoff, late handoff, or customer unavailable?
  • Which markets, address types, and order types are most affected?
  • Are failures concentrated in apartments, campuses, malls, offices, hotels, or new developments?
  • What data do we have on geocoding confidence, courier wait time, support contacts, and refunds?

What a Strong Answer Covers

  • Root-cause analysis across the delivery funnel.
  • Segmentation by market, building type, platform, order type, and user history.
  • Prioritized solutions using impact, reach, confidence, and effort.
  • Preventive customer-side fixes and courier-side recovery tools.
  • Metrics and guardrails for reliability, conversion, courier experience, privacy, and cost.

Follow-up Questions

  • How would you detect a risky address before checkout?
  • How would you design the courier recovery flow?
  • What data would you store from successful handoffs?
  • How would you avoid making checkout worse for most users?
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