Xavier Fok

A plain-English breakdown of when a spreadsheet, a notebook, or a query tool is the right choice for tracking churn, MRR, CLV, and conversion in a one-person business.

A scheduled report that stops updating doesn’t usually throw an error. It just goes stale, and you keep making decisions on old numbers until someone notices. Here’s how that happens and what to check for.

A plain-English guide to point-in-time counts versus period counts, why business metrics like MRR and churn depend on which one you’re using, and how to avoid mixing them up.

A plain-English guide to capacity utilisation rate for small business: how to measure it for equipment, staff hours, subscriptions and space, and what the number can’t tell you.

A plain-English guide to customer revenue concentration risk: how to measure how dependent you are on your biggest customers, and what that number can and can’t tell you.

A plain-English look at cancellation reason surveys: what the dropdown and free-text answers can actually tell a solo operator about churn, and where they mislead you.

A plain-English guide to treating your support inbox as a small business dataset: what you can count, what it’s biased toward, and how it connects to churn.

Most ‘automated’ reports still have one human hiding in the middle. Here’s how to find that step, decide if it’s worth automating, and what to do when it isn’t.

Why cleaning up bad data after the fact never really works, and what it looks like to fix data quality at point of entry instead, with examples from churn, MRR, and attribution tracking.

Why slicing your data by device, day, source, and cohort until something turns green is not a discovery. A plain-English look at the multiple comparisons problem for solo operators.