Framework for Google Estimation Questions

The Google Estimation question is really 80-95% logic and 5 to 20% math. However, the average candidate gets so worried about the math, they don’t pay attention to the logic. My framework for approaching the estimation question puts logic front and center. 

I put the focus on the basic equation and then the logic for how we fill in the variables to reach a basic number. 

Tips & Tricks

  • Variables: No more that 2 to 3 variables for your equation

    • occasionally a 4th variable is okay if you need to divide for the final answer (think # of servers needed)

  • Logic For Assumptions: Use logic to fill in values for each variable

  • Round up or down: You want numbers ending in 0, 2 or 5 because the math is easier.

  • Think of two solutions before diving in: The follow on question is often, can you think of another approach. If you spend 5 to 15 mins on one approach, it an be difficult to come up with another, so think of two ways before you go too far. (Think: Top Down vs Bottom Up)

  • Build a cheat sheet of common facts: Think major world populations, size of emails, images, videos, server capacities, etc


A Few Key Steps

  1. Word Problem Approach: Develop an equation with 2 to 3 variables (4 at most)

    • Sense check: If you can think of another approach before you dive too far in, it will help. They

  2. Use logic to fill in the variables

    • i.e. US population is ~300M and there are ~100M households so I will assume 25% of 100M households will use my product

  3. Volunteer to question your own assumptions

    • Break down 1 or 2 of your variables looking at High, Medium and Low Users (as an example) or High, Medium and Low frequency of use, etc.

  4. Review your Logic

    • Compare your first result to your newly questioned results


Cheat Sheet Example:

  • US population: 330M

  • California population: 40M

  • NYC population: 8M

  • World population: 7.8B

  • Size of continental US: 3M square miles

  • US households: 130M

  • Average people per household in the US: 3

  • Life expectancy: 72

  • Median household income: $65,000

  • Weight of an average car: 4,000 lbs

  • Percent of population under 20 or over 65: ~25% (give or take)

Technical

  • Amazon S3 Standard cost: $0.023 / GB / month

  • Average file size for a 90-min 720p movie: roughly 3.5GB

  • Average file size for a smartphone camera picture: roughly 3-5 MB

  • Average CTR for a search ad: 1.91%

  • Average landing page conversion rate: 2.35%

  • Average WiFi bandwidth: ~10Mbps

  • Cost of iPhone 12 Pro: $999

  • Cost of Google Pixel 5: $699

  • Cost of Amazon Echo (4th Gen): $99

General sense of revenue (2020)

  • Dropbox revenue: $2B

  • Airbnb revenue: $3B

  • Google revenue: $181B

  • Facebook revenue: $86B

  • Apple revenue: $274B

  • Amazon revenue: $386B

  • Netflix revenue: $25B

  • Google (Alphabet) net income: $40.27 billion

  • Apple R&D expenditure: $18.75 billion

General sense of user populations

  • Netflix (Q2 2021): 209 million subscribers

  • Google G Suite (March 2020): 2 billion+ monthly active users

  • Uber (Jun 2021): ~1 million drivers in the US

  • Twitter (Q1 2018): 192 million daily active users

  • Number of Americans that own a smart speaker (Jan 2020): 60 million

  • Number of products Amazon sells: over 12 million (not including Amazon marketplace sellers, which brings the total to 350 million)

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