Field notes on data, strategy & AI.
Practical, jargon-free perspectives for leaders who want evidence, not hype. What to track, how to read it, and how to act on it.
Seven things your organization should be tracking (but probably isn’t)
Most organizations capture only a fraction of the data they need to understand performance. Here are the blind spots we find most often, and how to start closing them.
Read article12 questions to answer before you buy another AI tool
A practical AI readiness checklist for leadership teams at nonprofits and businesses, covering goals, data, risk, people, and measurement.
Build, buy, or configure? A decision framework for your next system
How to decide between custom software development, off-the-shelf SaaS, and configuring a platform you already own, without regretting it in two years.
What to put in an AI use policy (even if you are a team of ten)
A plain-language guide to writing a practical AI acceptable-use policy for nonprofits and small businesses, with the sections every policy needs.
Let’s talk it through.
If one of these topics is on your mind, we are happy to discuss how it applies to your organization.