Mixpanel

OCTOBER 5, 2021

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.

Technical Cofounder 98

Technical Cofounder Data Visualization Analytic Tools Events 98

The Product Coalition

OCTOBER 30, 2019

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.

Startups 112

Startups User Testing Technical Cofounder Research Software 112

Amplitude

FEBRUARY 26, 2018

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.

Research Software 66

Research Software Technical Cofounder Feedback Software Product Research 66

Andrew Chen

AUGUST 8, 2022

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?

User Testing 94

User Testing Customer Experience Onboarding KPIs Technical Cofounder 94

Mixpanel

JULY 26, 2022

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!

Analytic Tools 59

Analytic Tools Data Visualization Technical Cofounder Development 59

Mixpanel

JANUARY 3, 2022

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.

Analytic Tools 59

Analytic Tools Data Visualization Engineering Weak Development Team 59

Mixpanel

OCTOBER 21, 2021

We’ve heard reports of a variety of types of unexpected behavior that can sometimes occur in your lifecycle callbacks, so its important to test each view thoroughly to see where workarounds may be required, particularly as updates to SwiftUI are released.

Data Visualization 72

Data Visualization Analytic Tools Events Reporting Tools 72