What a survey response rate does to your conclusions
A plain English look at survey response bias: why a low response rate can quietly skew your conclusions, and what to check before you trust the numbers.
Fallback category for posts that have not yet been assigned to a primary topical category.
A plain English look at survey response bias: why a low response rate can quietly skew your conclusions, and what to check before you trust the numbers.
How to fold refunds and chargebacks into your revenue metrics so you’re looking at real numbers instead of a rosier version of your business.
A plain-English guide to seasonality analysis for small businesses: how to tell a real seasonal pattern from noise, and what to do with it once you see it.
A practical guide to defining business metrics so they mean the same thing every time you calculate them, with real examples from churn, MRR, and CLV.
A practical guide to picking an analytics stack as a solo operator: what to buy first, what to skip, and how to avoid rebuilding everything in a year.
What time series decomposition actually does, how to read trend, seasonality, and noise in your own business metrics, and where it stops being useful.
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.