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**Interesting connection to AI Training / Research:** The overall approach / objectives of the WBR seem very similar to how Ilya Sutskever described how they approach AI training / research. The focus is less on “new ideas,” and more on understanding the behavior of the system. Here’s the quote:
> “Coming up with new ideas is actually just a modest part of the work. Even more important is to understand the results…to understand what’s going on…figuring out the next experiment to run. A lot of the time is spent on that. Understanding what could be wrong, what could have caused the system (neural net) to produce a result which was not expected.”
The real driver of progress / execution / performance/ superior results comes *less* from the generation of the new ideas, *more* on the ability to understand WHY the outcomes are happening. To put it another way: the better you understand the system, the better your innovation and performance will be.
The Amazon Weekly Business Review - Commoncog
The Commonplace Community
Product Metrics Instrumentation
The first step is to analyze the current state of your product’s engagement data. You’ll want to assess the following:
- Is engagement data enabled today?
- Which tool(s) are we using?
- When were the event tags implemented?
- What kind of metrics are we able to see?
- Can we measure engagement on all of our products and/or features?
- What would we want the optimal state to look like, in terms of data captured?
Product Operations
Melissa Perri and Denise Tilles
If the ultimate business goal is revenue, the product team's main metrics can’t be about revenue. This is because the primary function of OKRs is not to qualify for a bigger bonus, a promotion or personal validation. They should be used as a tool unjudgementally to *indicate* whether the team’s work is generating the right outcome for users. It gives clues to whether progress made is resonating with customers.
The focus on customer centric metrics eliminates the distraction and worry for the product team. It means they can be laser focussed on building the sharpist product to solve the specific user problems that have been identified by the team to be the most important to solve.
We're Zipping Up Into a New Operational Onesie.
Product Breaks
...catch up on these, and many more highlights
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