#3375
Mentioned in 11 episodes
How to Measure Anything
Book • 2007
Douglas Hubbard's "How to Measure Anything" provides a practical framework for quantifying even the seemingly unmeasurable.
The book emphasizes the importance of understanding uncertainty and using Bayesian methods to improve decision-making.
Hubbard presents a systematic approach to identifying and addressing sources of uncertainty, helping readers make more informed choices.
The book is widely used by professionals in various fields, including business, engineering, and science.
It offers valuable insights into the challenges of measurement and the importance of using data effectively to improve decision-making.
The book emphasizes the importance of understanding uncertainty and using Bayesian methods to improve decision-making.
Hubbard presents a systematic approach to identifying and addressing sources of uncertainty, helping readers make more informed choices.
The book is widely used by professionals in various fields, including business, engineering, and science.
It offers valuable insights into the challenges of measurement and the importance of using data effectively to improve decision-making.
Mentioned by
Mentioned in 11 episodes
Recommended by 
Nicole Forsgren as a book that covers good ways to hunch data when you don't have any.
Nicole Forsgren as a book that covers good ways to hunch data when you don't have any.
262 snips
How to measure and improve developer productivity | Nicole Forsgren (Microsoft Research, GitHub, Google)
Mentioned by 
Abi Noda as a book that helped him realize that developers could provide better insights than quantitative data from GitHub.
Abi Noda as a book that helped him realize that developers could provide better insights than quantitative data from GitHub.
32 snips
DX on DX (Interview)
Mentioned by Brian O'Neill in episode 80 of Experiencing Data podcast as a great read, particularly the first half which focuses on the concepts of measurement without needing extensive math.
22 snips
163 - It’s Not a Math Problem: How to Quantify the Value of Your Enterprise Data Products or Your Data Product Management Function
Mentioned by Harry Max as a book offering a practical approach to measuring anything, even in situations of high uncertainty.
15 snips
Beyond Data
Mentioned by Dani Hernandez when discussing his transition to helping Twitch better manage planning.
#78 – Danny Hernandez on forecasting and the drivers of AI progress
Mentioned by Abi Noda as a guide on measuring intangible things like technical debt and developer experience.
Abi Noda as a guide on measuring intangible things like technical debt and developer experience.
Developer (un)happiness (Friends)
Recommended for its approach to estimating and understanding uncertainty in measurements.
Episode 83 - “Data-Driven Decision Making"
Recommended by 
Miles Lasater as a helpful resource for understanding decision-making under uncertainty and the value of information.
Miles Lasater as a helpful resource for understanding decision-making under uncertainty and the value of information.
Decision-Making Under Uncertainty and Entrepreneurship (with Miles Lasater)
