Empowering growth through innovation and resilience.
Joined January 2008
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185 Photos and videos
May 16
Nobody owns the translation layer.
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May 9
Most AI product features die in the first 90 days because teams build for the technology instead of the user.
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May 9
They ship fast and iterate faster. AI products need feedback loops. Build the minimum viable intelligence, test it with real users, and refine based on behavior.
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May 9
If you're building AI into your product roadmap, ask yourself: would this feature still deliver value if we stripped out the AI? If the answer is no, you might be solving for the wrong problem. What's one AI feature you've seen that actually changed how users work?
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May 8
Most product leaders think alignment meetings are the answer to cross-functional chaos. They're not.
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May 8
The teams that move fastest aren't the ones with the best project management tools. They're the ones where a designer can challenge a pricing decision and an engineer can rewrite a go-to-market plan.
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May 8
If your cross-functional team feels like a negotiation every sprint, you're improving the wrong thing.
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May 6
I could see a world where @anthropic creates their own laptop. With #mcp everything you need access to will live inside of Claude.
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May 6
Most supply chain teams have more data than they can use but still make decisions on gut feel.
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May 6
Run it in parallel first. Test your predictive model alongside your current process for 30 to 60 days. Compare what it recommends against what actually happens. Most teams skip this and lose credibility when the first live prediction misses.
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May 6
The companies that succeed with predictive analytics treat it like a product. Test it, prove it, then scale it.
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