Valuing Impact-ful technology
Good infrastructure, like meaningful impact, is almost invisible. You don't notice a server that doesn't go down, and that's the point.
More issues
Free analytics are expensive.
Google Analytics is free because you're not the customer - your visitors are. This is about what that costs.
Time spent on the pitch
Not sports pitches, don’t worry. It's about time spent on a pitch deck.
Introducing AWARE™
Dozens of Asian textile producers are saying the same thing: western traceability is broken. I think I've joined a company that can fix it.
The data problems in sustainability
We have mountains of data on sustainability. Yet problems persist. The pattern I see is that 80-90% of our work tackles data problems, not implementing actual solutions. This one's about why I think we're stuck solving the old problems, and what needs to change.
Building a personal AI operating system
Most AI advice is generic. But what if you could create an AI coach that understands your specific personality traits, communication style, and ways of working? By feeding Claude personality test results (and reflections), you can build a system that provides more tailored guidance.
Digital Product Passports 101
The EU's new Digital Product Passport system will require data on products. The data, consumer demand, and the tech exists. We're just missing the systematic effort to connect them. Let's discuss.
Invisible supply chains and increasing need for data awareness
Through investigating my own everyday items, I thought about how deliberately invisible modern supply chains are, despite mounting consumer demand. The data exists, but connecting it to consumers remains a challenge.
System change through multi-level perspectives - sticky graphs
Another stick graph - a framework showing how complex systems actually change through three interacting layers. It's messy, non-linear, and (but) useful for understanding system change.
Modularity dividends - Why standardisation beats customisation in IT
An Oxford study reveals that IT projects have uniquely infinite risk and the data suggests why. I want to propose another reason standardisation isn't limiting but the key to reliable success.