Experimentation Education

Master the Science of
Conversion Optimisation

A structured collection of deep-dive learning guides covering statistics, research methods, UX principles, and program management for the other 95%.

21
Guides
4
Topics
Free
Always
Core Statistics & Testing

A/B Testing Methodology

A/B testing is a courtroom trial, not a treasure hunt. Most people approach A/B testing like prospecting — dig around in the data until you find gold. That's exactly backwards. An A/B test is a trial. You start with a...

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CUPED & Variance Reduction

Think of CUPED as noise-cancelling headphones for your A/B test. Your experiment outcome for each user is a mix of two signals: who they *already are* (a power user will always spend more than a casual user) and what...

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Frequentist vs. Bayesian Testing

The courtroom analogy. Think of frequentist and Bayesian testing as two different legal systems for the same crime. The frequentist system works like a strict procedural court: "Assuming the defendant is innocent, how...

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Long-Run Effect Estimation

Think of your experimentation program as a mutual fund, and the holdout as the audit. Each A/B test is like buying a stock. The analyst says it went up. Great. You buy fifty stocks over a year, each one reportedly a...

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Multivariate Testing (MVT)

Think of a page on your website as a recipe, not a shopping list. A shopping list is additive: eggs are good, butter is good, flour is good, and having all three is exactly as good as the sum of each. If that's how your...

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Novelty Effect Detection

The novelty effect is the sugar rush of product experimentation. When you give a child candy, you get a burst of energy that doesn't represent their baseline activity level. If you measured their "productivity" during...

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Statistical Significance

Think of statistical significance like a metal detector on a beach. The p-value doesn't tell you "there's gold here." It tells you "the detector beeped." Whether there's actually gold depends on how many gold coins are...

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Research Methods

Conversion Funnel Analysis

The funnel is a supply-side map imposed on demand-side reality. Think of a subway map. It's not geographically accurate — stations that are far apart on the map might be across the street from each other. But the map is...

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Customer Journey Mapping & High-Impact Friction Points

Friction compounds like interest on debt. Imagine a customer journey with 10 steps. Each step works well 90% of the time. Sounds fine, right? But the probability of ALL ten going well is 0.9 raised to the 10th power —...

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Metric Selection, Guardrail Metrics & OEC

Think of an experiment's metrics like flying an aircraft. Your OEC (Overall Evaluation Criterion) is the heading -- the single composite direction you're trying to go. Your guardrail metrics are the engine temperature,...

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Survey Design — Likert Scales, Exit Intent Surveys, NPS

Survey design is a negotiation between what you want to know and what respondents are willing to give you. Think of respondent attention as a currency with a fixed budget. Every question you ask spends some of that...

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Cognitive Biases (Loss Aversion, Anchoring, Social Proof, Scarcity)

Think of your brain as running two departments that don't talk to each other much. Department 1 (fast, automatic, emotional) evolved to keep you alive in small bands on the African savannah: flinch from snakes, follow...

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Heuristic Evaluation, Fitts's Law, Hick's Law & F-Pattern Scanning

Humans are satisficers with finite bandwidth. Think of every user as a forager in a vast forest. They don't examine every tree. They move *fast enough* (not perfectly), decide *quickly enough* (not thoroughly), and scan...

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Qualitative Research (User Interviews, Usability Testing, Moderated vs. Unmoderated)

The researcher is the instrument. In quantitative research, your instrument is a ruler, a scale, a survey with predetermined responses. It measures the same way regardless of who holds it. In qualitative research, *you*...

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Segmentation, Cohort Analysis & Personalization

Segments are probability gradients, not walls. Think of a heat map, not a set of boxes. Roger Martin nailed this: you have a *higher probability* of earning purchases from customers you designed for, and a *lower...

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UX & Optimization
Program Management
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