Estimate How Many Hours a Day Americans Spend Waiting for a Live Agent

Quick Overview

An estimation question asking how much total time people in the US spend each day waiting for a live agent after reaching an automated customer-service system, with menu navigation excluded. It tests scoping channels and callers, building a calls-times-wait estimate from labeled assumptions, and sanity-checking the daily total.

Estimate How Many Hours a Day Americans Spend Waiting for a Live Agent

Company: Google

Role: Product Manager

Category: Product / Decision Making

Difficulty: medium

Interview Round: Other

Estimate the total time people in the United States spend each day waiting to reach a live person after contacting an automated customer-service system. Count only the waiting itself: the time spent going through menus or prompts to get to the point where the wait begins is excluded. Lay out your structure, label your assumptions, and finish with a daily total. ```hint Count the contacts that queue Build the total from how many contacts a day end up in a queue for a person and how long the average one waits there, and estimate the number of contacts from the reasons people actually get in touch. ``` ### Clarifying Questions - Which channels count: phone lines with automated menus only, or also chat and messaging systems that hand off to a human? - If a caller chooses a callback, does any of that time count as waiting? - Should calls between businesses, such as a clinic calling an insurer, count, or only individuals contacting organizations? - Is the answer for a typical weekday or an average day across the whole week? ### What a Strong Answer Covers - A scope agreed up front: which systems and channels, who is calling, and how the excluded menu time is handled - An equation linking people or contact reasons to queued contacts and to the wait per contact - Labeled round assumptions with reasons, including how waits differ across kinds of organizations and how callbacks and hang-ups are treated - Correct arithmetic with consistent units, ending in a daily total - A sanity check from a second angle, such as time per person or agent capacity, and a range ### Follow-up Questions - Which assumption moves your answer the most, and what data would pin it down? - How would the total change on the day after a major storm or a large service outage? - If every company offered callbacks, how would total waiting time and the experience of waiting change?

Overview: An estimation question asking how much total time people in the US spend each day waiting for a live agent after reaching an automated customer-service system, with menu navigation excluded. It tests scoping channels and callers, building a calls-times-wait estimate from labeled assumptions, and sanity-checking the daily total.

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Google
Feb 29, 2024
mediumProduct ManagerOtherProduct / Decision Making
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Estimate the total time people in the United States spend each day waiting to reach a live person after contacting an automated customer-service system. Count only the waiting itself: the time spent going through menus or prompts to get to the point where the wait begins is excluded. Lay out your structure, label your assumptions, and finish with a daily total.

Clarifying Questions Guidance

  • Which channels count: phone lines with automated menus only, or also chat and messaging systems that hand off to a human?
  • If a caller chooses a callback, does any of that time count as waiting?
  • Should calls between businesses, such as a clinic calling an insurer, count, or only individuals contacting organizations?
  • Is the answer for a typical weekday or an average day across the whole week?

What a Strong Answer Covers Guidance

  • A scope agreed up front: which systems and channels, who is calling, and how the excluded menu time is handled
  • An equation linking people or contact reasons to queued contacts and to the wait per contact
  • Labeled round assumptions with reasons, including how waits differ across kinds of organizations and how callbacks and hang-ups are treated
  • Correct arithmetic with consistent units, ending in a daily total
  • A sanity check from a second angle, such as time per person or agent capacity, and a range

Follow-up Questions Guidance

  • Which assumption moves your answer the most, and what data would pin it down?
  • How would the total change on the day after a major storm or a large service outage?
  • If every company offered callbacks, how would total waiting time and the experience of waiting change?