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Technical Review: A Trusted Look Under the Hood

TechEmpower - Product Management

Many CEOs of software-enabled businesses call us with a similar concern: Are we getting the right results from our software team? Most innovators don’t have a technical background, so it’s hard to evaluate the truth of the situation. And unless they have a tech background, they can’t look under the hood themselves.

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Is Your Product Analytics Broken? How to Actually Act on the Data You Collect

Userpilot

Why product analytics fails The ongoing process of tracking analytics is riddled with errors and roadblocks that prevent teams from making informed decisions. It also draws out the process by requiring time-consuming agreement on needs and strict protocols, like QA reviews. Think about Apu, the ever-diligent Kwik-E-Mart owner.

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Product Manager: Seeking Help

The Product Guy

If successful – save the information and discuss with your manager during your next 1:1. Focus on empowering your reports with the context and even provide feedback on recommended phrasing so the contributor on your team can successfully influence and navigate solutions. Yes – Try out your solution and evaluate the result.

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410: Getting attention for a product launch – with Ken Babcock

Product Innovation Educators

When we met, we kept talking about team performance. The emotions associated with teams creating documentation, which is a conduit to sharing knowledge, were very negative. I reflected on my Uber experience, where I was on a launch operations team. During development, we had been creating a waitlist and had captured emails.

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Image From Raw Data to Clarity — Cleaning, Sorting, and Synthesising Insights

UX Planet

From Raw Data to Clarity — Cleaning, Sorting, and Synthesising Insights Part 4 (of 5) of the UX Research Playbook series Synthesising qualitative data is similar to reaping the harvest after the diligent effort poured into research — it’s the step where hard work blossoms into meaningful insights. Mural , Miro , etc.) is recommended.

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391: Product VP of Wyze uses community for product innovation and you can too – with Steve McIrvin

Product Innovation Educators

8:00] Tell us more about how you’re developing your core capabilities, especially AI visual recognition. Training a computer vision model is very hard and usually requires an AI research team, but we wanted to make that problem accessible to anyone. Wyze’s tagline is to make great technology accessible.

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How Our Cross-Functional Teams Decide What to Build at Whispir

The Product Coalition

I wrote a variation of this for the various product teams at Whispir recently and then as fate would have it, a CEO I know reached out to me on LinkedIn asking the same thing?—?so with very little effort but a huge amount of diligence and thought, and you can do it in 15 minutes if you have access to all the research already.