article thumbnail

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.

article thumbnail

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

The Product Coalition

During the process, I also gained a much deeper understanding of the technologies we are building and how the company operates. 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. Think Ahead!

Startups 100
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Backlog named SaaS Awards finalist

Nulab

The panel was comprised of top industry experts from the technical, business, academic, and marketing expertise spheres. “We are incredibly proud to be recognized as a finalist in the 2020 SaaS Awards,” says Shinsuke Tabata, Nulab’s Cofounder and CMO. Thank you for letting our team be part of your team!

Naming 61
article thumbnail

Backlog named SaaS Awards finalist

Nulab

The panel was comprised of top industry experts from the technical, business, academic, and marketing expertise spheres. “We are incredibly proud to be recognized as a finalist in the 2020 SaaS Awards,” says Shinsuke Tabata, Nulab’s Cofounder and CMO. Thank you for letting our team be part of your team!

Naming 52
article thumbnail

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.

article thumbnail

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.

article thumbnail

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

Mixpanel

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.