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My Biggest Takeaways?—?Being a Product Manager at an Early Stage Startup

The Product Coalition

Being a Product Manager at an Early Stage Startup In my previous article , I reflected on a few things that I would tell myself if I could travel back in time and the concept of “three waves of changes.” In this post, I want to talk about the three most important lessons I have learned so far as a Product Manager at a startup.

Startups 112
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Don’t Miss These Speakers at #mtpcon San Francisco

Mind the Product

Mind the Product returns to Davies Symphony Hall in San Francisco on July 16-17 and promises to be one of our best product conferences yet, with a leadership forum, more workshops, more networking events around the conference, and more fun than ever before. He has experienced IPO, acquisition, rapid growth, and crushing failure.

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Common technical hiccups in your product analytics that are easy to spot

Mixpanel

You can spend all the time in the world devising a thoughtful, nuanced analytics strategy for your product analytics, but if your event tracking isn’t set up behind the scenes just how you need it, some (or all) of your data might be rendered far less helpful than you’d like. As they say—garbage in, garbage out. Event stuttering.

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How to Deal With Unknown Unknowns in Project Planning

Amplitude

This is a guest post from Dillon Forest, cofounder, CTO & product manager at RankScience. One litmus test for this: if you’re working on your product and you hit a roadblock, and you can’t find a satisfactory answer to your question on Stack Overflow. Do some user research.

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Behavioral Data and the Modern Data Stack: Privacy, Building Your Stack, and What’s Next

Indicative

Behavioral data enables companies to build better products and experiences for their customers. That starts with the cloud data warehouse (CDW), which serves as the center of the Modern Data Ecosystem and opens up a broad range of use cases, including Product Analytics. Where the industry is headed. Step 1: The data warehouse.

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Always implement analytics as part of feature development. Here’s why.

Mixpanel

Product analytics is an ongoing effort. As new features are added to your products, so should new analytics events be added to your codebases. Analytics should be tested alongside features. In order to effectively test whether a feature has been implemented correctly, a QA engineer needs to understand the feature inside and out.

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Solve a Hard Problem (Tinder). Chapter 8 of my upcoming book, The Cold Start Problem

Andrew Chen

The Cold Start Problem , as the book is called, is about the secret that drives many of tech’s most successful products. It’s the story of how messaging apps, marketplaces, workplace collaboration tools, multiplayer games, all share a common thread of being products that connect people with each other. The question is, how?