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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
Indeed, this is what has happened at AutoTrader UK, where teams are no longer funded annually to build a set of features. Instead, the organization now checks in with each team on a quarterly basis to see how it’s tracking against initiative goals. Initiative goals are quantitative and based on changing customer behavior in some way that benefits the business. Teams get funded to change these behaviors, one quarter at a time. As the quarter nears its end the company assesses, with the team, whether it’s worthwhile to continue working toward those outcomes. If so, the team gets another quarter’s worth of runway. If not, it moves on to a new initiative.
Sense and Respond
Jeff Gothelf, Josh Seiden
For this reason we built the Tabbed Inbox through a series of build-measure-learn loops, which are called Steps in GIST. There were usability tests, longitudinal studies, fishfood and dogfood, labs, and partial launches. Each step generated a more complete version of the product, but also gave us new evidence, which helped build our confidence in the idea and get more funding. We used what we learned in each step to course-correct and improve the idea. The feature we eventually launched was profoundly better than the one we started with.
Evidence-Guided
Itamar Gilad
...catch up on these, and many more highlights
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