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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.

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Backlog named SaaS Awards finalist

Nulab

We at Nulab are proud to announce that Backlog was nominated and selected as a finalist in the 2020 Software-as-a-Service Awards! We are so proud to be a finalist in the “Best Project Management” category — our customers continually see our hard work, and this year, so did the SaaS Awards panel.

Naming 61
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Data thinking vs. product thinking

Mixpanel

However, if we built an event funnel in our product analytics, one that examines what users are doing several steps before potentially reaching the chat feature, we might find that the engagement drop-off was actually happening a screen or two earlier, maybe due to a poorly designed series of buttons or UI flow. Create counter metrics.

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Backlog named SaaS Awards finalist

Nulab

We at Nulab are proud to announce that Backlog was nominated and selected as a finalist in the 2020 Software-as-a-Service Awards! We are so proud to be a finalist in the “Best Project Management” category — our customers continually see our hard work, and this year, so did the SaaS Awards panel.

Naming 52
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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. But when you’re building a product with lots of technical or business unknowns—something many startups and product teams are doing—this process breaks down. The uncertainty of technical products. Make some mockups.

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How to be the go-to engineer for product analytics

Mixpanel

As data-driven product development continues to balloon in popularity, so does the need for accurate and sophisticated implementation of analytics tracking in software products. All over the code, you have ugly calls to complex analytics APIs littered amongst your views and business logic. You’d be celebrated.

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

Mixpanel

When engineers implement features, they write code. When engineers add analytics events to new features, they add additional analytics code to their new feature code. As such, the best time for an engineer to make changes to some piece of code is when their attention is fully focused on that piece of code, not weeks after.