Category Archives: Data Culture

Confirmation Bias product management

Confirmation Bias in Product Management (And How to Avoid It)

Confirmation bias is one of the most pervasive tendencies in human nature.

Bestselling author and professor, Michael Shermer sums up the reason why we are so susceptible to confirmation bias: “Smart people believe weird things because they are skilled at defending beliefs they arrived at for non-smart reasons.”

Confirmation bias is the human tendency to interpret new information as a confirmation of our existing beliefs and ignore it if it challenges our existing beliefs. For example, if you see a glowing object in the night sky and you’re a firm believer in UFOs, you might be convinced you’ve just spotted an alien spacecraft.

The presence of confirmation bias has been well-documented in everything from the 2016 U.S. election to scientific research. And product managing, growth hacking and analytics are definitely not immune to it. Here are some important examples of confirmation bias in product management and analytics and suggestions for how to avoid it.

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Let's Build Better Products by Spenser Skates, CEO and Co-founder of Amplitude

Let’s Build Better Products

Last week, we announced Amplitude 2.0 — the next generation of our product analytics platform. Today, I’m sharing the story behind 2.0: the industry shift in how companies are building products, how our users shaped the way we rebuilt Amplitude, and our vision for the future of products.

Back in March of 1995, Microsoft released a product called Microsoft Bob. Designed with computer novices in mind, Bob was supposed to make it easier for the average person to use a PC. The interface was styled as a virtual home where you navigated between rooms to access different programs, all with the aid of an animated dog as your guide (whose later reincarnation showed up in Microsoft Office as our old friend, Clippy).

Screenshot of the Microsoft Bob interface, complete with your friendly guide Rover.

Not really sure where the “Door to Public Mouse Hole” leads… Image source.

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8 ways to Automate your Analytics

8 Ways To Automate Your Analytics

At QuizUp, an Amplitude customer and the company that put out the fastest growing App Store game of all time, any analytical task taking more than 15 minutes out of someone’s day was automated with ruthless efficiency.

With the help of IFTTT (If This Then That) and Zapier you can do the same for all repetitive tasks at your company, without the need for any coding. Automation is critical not just for raising efficiency, but also to prevent information and tasks from slipping through the cracks.

While we want you to be doing all of your web analytics within Amplitude, we know other tasks need to be done away from our platform. From emailing reports to collecting data or tracking competitors, IFTTT and Zapier can help turn any manual nightmare into an automated dream.

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Data-driven newsletters

5 Data-Driven Email Newsletters That Will Change How You Think About Analytics

Using data to build better products and companies is an ever-changing science. You have to always confront your assumptions and learn if you want to succeed. Whether you’re an industry veteran or starting from scratch, it always pays to get advice from the best of the best.

Subscribing to email newsletters written by experts on growth and analytics is a great way to build a habit around this kind of learning.

Here are five that stand out from the rest.

Written by entrepreneurs, data scientists, growth marketers and venture capitalists, each one offers unique insight into the process of using data to make better decisions and build a better company.

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It's dumb to not track all your data

It’s Dumb To Not Track All Your Data, Here’s Why

According to Ben Porterfield, co-founder and VP Engineering at Looker, there’s no such thing as tracking too much data. In fact, one of the most common mistakes even “smart” people make regarding their analytics is that they simply don’t track enough, he said in his interview with First Round Review.

Why should you want to track all your data in the first place?

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