Practical A/B testing frameworks, behavioral science, and conversion optimization — for growth leaders responsible for revenue.
CRO articles assume unlimited traffic, dedicated teams, and rational stakeholders. The reality is 2-person teams, political overrides, and sample sizes too small for textbook methods. Here's what testing actually looks like.
Every experimentation program hits a ceiling when scaling. After taking NRG from 20 to 100+ tests a year, here's exactly what breaks — quality, QA, capacity — and how to fix each one.
CTR, scroll depth, and time on page don't pay the bills. Here's how to tie every experiment to actual revenue — and why most programs measure the wrong things.
Every new analyst panics when their A/B test shows 51/49 instead of 50/50. Here's why imperfect splits are normal, when to actually worry, and the diagnostic that separates noise from real problems.
GA4 and Adobe Analytics don't even agree on what a 'user' is. Every company's data dictionary has quirks that can silently corrupt your experiment results if you don't understand them first.
Most A/B testing advice is written by people who've never defended a losing test in a business review. Here are 10 practices that survived real traffic, real org politics, and real budget pressure — from an experimentation lead running 100+ tests a year.
The AI wrapper era is over. Solo builders shipping hyper-specific vertical tools win — not another ChatGPT skin with a logo on it.
Automation systems fail because they never activate correctly, not because they're incomplete. Build for activation first, execution second.
Personality tests give you a label. Labels don't change behavior. What works: functional bottlenecks, hard constraints, and feedback loops.
Early SaaS founders perfect architecture for products nobody uses. The fix: find the first value moment before you build anything else.
Your AI optimizes for speed, not truth. Here's why it confidently lies about real-time data and the prompting fixes that force verification.
In an era of AI-generated content, proof of work is the only currency of trust. Shipped code and public failures can't be faked.
The 50/50 co-founder split is a legacy risk. Solo founders now use AI agents as fractional hires — keeping 100% equity until product-market fit.
Most analysts calculate their experiment baseline from the wrong denominator and the wrong time window. Here is the exact mistake, a worked example with real numbers, and the framework I use to size experiments under uncertainty.
Clean code in the AI era is about context window management. No file over 200 lines, ever. Here's why that rule doubles shipping velocity.
Most non-execution is risk management in disguise. The fix: cut scope until shipping becomes the path of least resistance.
Expert call pricing isn't about your rate — it's about selection frequency in a matching market. Here's the math most people miss.
Unicorns aren't created by talent. They're created by systems that allow long-term compounding. Five constraints quietly decide the ceiling.
Most recession forecasts fail because they treat deterioration as breakdown. Track income, spending, and credit — ignore everything else.
When breakdown rows exceed total users, you're seeing overlapping populations, not a funnel. Here's why dashboards fail and how to fix it.
Smart people build systems that optimize storage instead of throughput. Here's why organization backfires and constraint-based execution wins.
Atticus Li reduced experimentation analysis time by 40% at NRG Energy by integrating AI tools including Claude, ChatGPT, and Optimizely AI into the testing workflow — with specific workflows, governance standards, and honest limitations.
Behavioral economics is a powerful tool for conversion optimization — but the field went through a replication crisis. Here's how to separate what actually works from what was built on shaky research, and how to test behavioral hypotheses in your own context.
Behavioral economics is powerful, but the field has had a reputation crisis. Here is how to use principles like loss aversion, anchoring, and social proof without getting burned by unreliable research.
Practical A/B testing frameworks, behavioral science, and CRO strategies for growth leaders responsible for revenue. Practical. Free. Weekly.
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