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**A coherent vision** Today's managers need to have a coherent vision of the work they want to accomplish. Managers of humans need to craft a vision that is articulate, specific, concise, and rooted in a clear purpose. Model managers will need that same ability. The better articulated your vision is, the more likely the model is going to be to carry it out appropriately. As prompts become more specific and concise, the work done will improve. Language models might not, themselves, need a clear purpose, but model managers will likely have to identify a clear purpose for their *own* sake and engagement with the work. Articulating a concise, specific, and coherent vision is difficult. It’s a skill that is acquired over years of work. Much of it comes down to developing a taste for ideas and language. Luckily, that’s a place that language models can help as well.

The Knowledge Economy Is Over. Welcome to the Allocation Economy.

Dan Shipper

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

The top-down, change-resistant planning we see in the Fire Phone story is all too common. It’s the norm in large organizations. Most often it’s expressed in a document called a feature road map. This is a compelling document. It gives a clear sense of where we are, where we’re headed, and what features we’ll build to get from here to there.

Sense and Respond

Jeff Gothelf, Josh Seiden

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