Sabbaton

Topic cluster SEO: pillar page design, cluster content, bidirectional linking, 30-day calendar.

Google ranks pages higher when the site demonstrates topic authority. A content cluster organizes pages around a pillar with supporting cluster conten...

Granular CAC by channel: direct/indirect costs, logarithmic saturation curves, data-driven reallocation plan.

Blended CAC hides which channels are burning money. A $50 blended CAC may have a $20 organic channel and a $200 paid channel. This framework breaks CA...

A/B test design: sample size formula, MDE, duration rules, no-peeking sequential testing checklist.

Half of all A/B tests fail because they run too short. 'Run for a week or until significant' biases toward false positives and false negatives. SAMPL...

Competitive moat analysis: 6 moat types (network effects, switching costs, scale, brand, data, regulatory), defensibility scoring.

A competitive moat is what keeps competitors from taking your market share. Without a moat, any success is temporary—competitors copy, replicate, or u...

Feynman Technique: teach-back verification protocol with gap identification, source revision, simplified essence.

If you cannot explain it simply, you do not understand it well enough. The Feynman Technique is the most reliable self-test for understanding. PROTOC...

Lead-to-cash funnel: 8-stage waterfall (visitor→cash), conversion rates, leak analysis, prioritized fixes.

Revenue leaks at every stage of the lead-to-cash funnel. The waterfall model tracks each stage and identifies where prospects drop off—before you spen...

Time series anomaly detection: STL decomposition, dynamic MAD thresholds, multi-seasonality, alerting rules.

Most anomaly detection runs a static threshold ("alert if error rate >5%"). This fails on seasonal data: 5% errors at 3 AM is different from 5% at 3 P...

CI/CD pipeline optimization: build time decomposition, cache strategy, parallelization, trunk-based feedback.

A CI/CD pipeline that takes 45 minutes leaks developer velocity. Developers context-switch, start other work, and the feedback loop collapses. The goa...

Model interpretation: permutation importance, partial dependence plots, SHAP values, correlated feature handling.

Feature importance tells you which inputs drive your model's predictions. Tree-based models give built-in importance, but it can be misleading (favors...

Argument analysis: claim, evidence, warrant (4 categories), rebuttal, qualifier, logical bridge detection.

Most weak arguments fail not because the claim is wrong, but because the evidence does not actually support the claim. The gap between evidence and co...