The Product Coalition
OCTOBER 30, 2019
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.
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.
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Mixpanel
FEBRUARY 3, 2022
At the same time, when you review the product analytics, you notice four out of five are using the biggest feature incorrectly. Joseph is the founder of App Boss , a knowledge source for idea people (with little or no tech background) to turn their apps into viable businesses.
Bain Public
MAY 29, 2020
FUN FACT: It is actually thanks to the coaching service for innovative and technological SMBs (PMEit) administered by MAIN that we’ve been able to work with some of our incredible clients, Wastack , LiveScale , Blaise Transit and Enkidoo , and provide them with product management, consultancy and coaching support.
Amplitude
FEBRUARY 26, 2018
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.
Mixpanel
JULY 26, 2022
Aside from reducing accuracy and efficiency due to context switching, implementing your analytics in a later sprint creates a pungently adversarial relationship between your team and the project of product analytics as a whole. Engineers are technical. This is a multi-team waste fest! Analytics, however, can help with this.
Mixpanel
MARCH 3, 2022
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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