What a Median Figure Hides About Your Customers
Median and average tell different stories about the same customer base. Here’s how to know which one you’re looking at, and what each one hides.
Median and average tell different stories about the same customer base. Here’s how to know which one you’re looking at, and what each one hides.
How to turn raw business metrics into an honest, readable investor update, with plain-English guidance on structure, context, and what your numbers can’t tell you.
How to decide which business metrics deserve a weekly look and which ones only tell the truth on a monthly cycle, with real tradeoffs for a one-person business.
A self-explanatory dashboard is not about fancy charts. It is about labels, context, and picking the one number that actually answers the question you keep asking yourself.
A plain-English guide to spotting real anomalies in small business datasets, where standard deviation lies, seasonality fools you, and judgment still beats the algorithm.
A plain-English guide to using published SaaS benchmarks without misreading them, from someone who checks these numbers against his own business every month.
An average customer value can look healthy while your best and worst customers pull in opposite directions. Here is how to check what an average is hiding.
A plain-English walkthrough of unit economics: what CAC, CLV, contribution margin, and payback period actually measure, and where each one runs out of road.
Why the chi squared test gets unreliable once your sample sizes are small, and what a solo operator should run instead when testing things like email variants or segment differences.
Most people only check the top and bottom of a funnel. Here’s how to find and think about a drop-off that happens in the middle, where it’s easiest to miss.