Solving problems with data is appealing because it’s effective. It builds on measurable standards of success that help take the guesswork about which path to take. So why doesn’t everyone in every company make decisions with data all the time?
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).
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.
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.
So you just hired someone to fill an opening for the sexiest job of 2016, a data scientist at your up-and-coming Silicon Valley startup. What if, a few months down the line, you realize your data scientists are actually spending the majority of their time working on something decidedly… unsexy?
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?
Building a data-driven culture isn’t easy. You need goals, metrics to track your progress, and an understanding of just what constitutes success. An obsession with data has to permeate every level of your organization and guide you in everything you do.
We love talking to our customers about how they’ve done it, and we especially love when we can share their insights with you. This past May, Amplitude Head of Product Justin Bauer spoke with Stefanía Bjarney Ólafsdóttir, Head of Data at Icelandic mobile gaming startup QuizUp.
They talked about the importance of data, how and why QuizUp wound up using Amplitude, and what challenges they’ve faced on the way to becoming a truly data-driven organization. Check out the full webinar here, or keep reading to learn more!