9 min read
Semantic versioning explained: what v1.4.1 means and when a change is really live
Semantic versioning explained for PMs: what MAJOR.MINOR.PATCH means, tags and GitHub releases, and why merged, released and live are different moments.
Blog
RSS feedPractical articles on statistics, A/B testing and data-driven decisions for product managers and marketers.
9 min read
GitHub flow vs git flow: which branching model fits your team, and what it means for a PM
GitHub flow vs git flow in plain words: how each branching model works, when each fits, where trunk-based development comes in, and what it means for PMs.
10 min read
How to review a pull request as a product manager (without reviewing code)
How to review a pull request as a PM: what to check, what to leave to engineers, comment vs approve vs request changes, kind comments and a checklist.
9 min read
Customer interview mistakes: 5 false positives that "validate" weak ideas
Customer interview mistakes that make weak ideas look validated: compliments, fluff, feature requests and polite brush-offs, and what to ask instead.
9 min read
A/B/n testing: how to compare three or more variants without a false winner
A/B/n testing multiplies the chances of a false winner. How the Bonferroni and Holm corrections work, with a four-variant example and the traffic cost.
9 min read
Git for product managers: read the repository, skip the command line
Git for product managers in plain language: six terms to know, how to read a GitHub repository, and where to check what shipped, when and why.
9 min read
How long to run an A/B test: from sample size to whole weeks
How long to run an A/B test: divide the required sample by eligible daily traffic, round up to whole weeks, and plan for novelty effects and sales.
9 min read
How to validate a product idea before you build it
How to validate a product idea through customer conversations: six steps, weak vs strong signals, what commitment to ask for and when to stop.
9 min read
Minimum detectable effect (MDE): how to choose it for an A/B test
What minimum detectable effect (MDE) means, relative vs absolute, and how to set it from business value and your traffic. With a worked example.
9 min read
Outcome vs output: how to rewrite a feature roadmap as outcomes
Outcome vs output in product management: what each one means, where impact fits, and how to rewrite feature roadmap items as measurable outcomes.
9 min read
Peeking in A/B testing: why "already significant" is not a result
Peeking in A/B testing inflates false positives. In 100,000 simulated A/A tests, daily checks turned a 5% error rate into 27.6%. What to do instead.
9 min read
Customer interview questions: 20 to ask and 6 to avoid
Customer interview questions for PMs and marketers: 20 copyable questions grouped by purpose, a bad-vs-better table and a short prep checklist.