Tag: Okr
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How to write OKRs for an AI product
If your AI product delivers different outputs to each user and prompt, here is how you measure the success of…
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Training your PMs on AI tools is the easy part
AI tool training makes teams faster, not more innovative. Without permission to experiment and fail, you just get a faster…
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The Amazon AI-tokens problem isn’t an Amazon problem.
Measuring token consumption means exactly zero to your customers. So why are companies like Amazon forcing their employees to do…
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Three Habits That Beat AI Tool Fluency
AI tools generate polished options in minutes. The teams that win in that environment aren’t the ones that prompt the…
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What If We Prompted AI for Outcomes Instead of Outputs?
You can prompt AI to ship features. You can’t prompt it for outcomes — and that’s the discovery gap your…
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AI Made Relationships, Not Features, the Last Defensible Advantage
AI commoditized features. The last defensible moat is the relationship you build with customers — through history, context, trust, and…
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AI rewards provisional decisions, not perfect ones
More than ever, AI now makes ship fast, learn fast the only way to survive in the market — even…
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In an AI World, Permission Is the Slowest Bottleneck
We sought permission to reduce the risk of building the wrong thing because being wrong was expensive. That’s no longer…
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What if there’s no behavior change to measure?
Sometimes the work we do isn’t supposed to be visible to our users. Here are a couple of ways to…
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Finding outcomes for non-deterministic systems
Here’s an easy approach to determining success criteria for AI powered systems