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

Mixpanel

The good news is that many technical quirks tend to follow certain patterns that can be easily spotted—even by non-engineers. Here are four technical hiccups associated with corrupt event tracking data, how to spot them, and what to do about them. So how can you tell as a non-technical individual if this data is real or a stutter.

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How to be the go-to engineer for product analytics

Mixpanel

The point is that some of these might be catchable by non-technical team members whose job it is to analyze the data, but a lot of cases could only ever be noticed by someone who understands how the implementation actually works on a technical level: an engineer like yourself. Keep the product folks technically up-to-date.

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

The Product Coalition

I also covered project coordination before our technical program manager came on board and proposed to hire a QA/QE lead to make our team more quality-focused and our products more reliable. This is especially important for early-stage startups where you can never hire fast enough.

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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. The uncertainty of technical products.

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How to design a referral program

Andrew Chen

CEO/cofounder Drew Houston’s made a very helpful presentation describing his journey towards referral programs, and the general trajectory was the following: First, do all the things you’re “supposed” to do. In the end, probably just worth A/B testing to see what works best. Why did this make sense for them?

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What We Learned About Building Products People Love in 2016

Mind the Product

Suzie’s post both educates and entertains and is full of practical advice and, as Suzie says, its point is “to empower you and inform you about technical practices that are meant to be business-relevant”. This opens up and demystifies these practices with definitions, examples, easy to understand diagrams, and suggestions for further reading.

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

Mixpanel

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. You work like heck to get everything implemented and tested on time and get a brief moment of celebration…then surprise!