Practical A/B testing frameworks, behavioral science, and conversion optimization — for growth leaders responsible for revenue.
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.
The best products come from founders who use their own product every day. Here is why dogfooding is the real competitive moat — and why AI coding tools have changed the math for non-technical founders forever.
A data analyst's real job is not producing dashboards. It is helping stakeholders make better decisions with data. Here is how analysts should work with experimentation teams, translate data into stories, and earn a seat at the decision table.
Atticus Li shares data storytelling lessons from presenting experimentation results to C-suite executives at NRG Energy and Silicon Valley Bank — including the textbook analogy, the consultant mindset, and how financial storytelling grew the program.
Most experimentation advice assumes perfect statistical significance. Here is how to make the best decision when the data will never be complete — a pragmatic framework from 150+ enterprise experiments.
When something works, double down. But never become dependent on a single acquisition channel. Here is how to scale what is working while protecting against algorithm changes and platform risk.
Atticus Li designed NRG Energy's EBITDA impact estimation model that translates A/B test results into verified financial impact, turning experimentation from a cost center into a revenue driver generating $30M+ in projected value.
Atticus Li shares five real enrollment flow A/B tests from NRG Energy that collectively projected over $1M in annual revenue — with exact metrics, behavioral mechanisms, and the decision frameworks behind each test.
The experimentation team that treats itself as an internal consulting group outperforms the one that treats itself as a test execution shop. Here is how to reposition your team and why it matters for every stakeholder relationship.
Atticus Li shares lessons from leading marketing analytics at Silicon Valley Bank and NRG Energy — covering Google Analytics vs Adobe Analytics, data storytelling for executives, geo-incrementality testing, and what it means to be a consultant, not just an analyst.
Practical A/B testing frameworks, behavioral science, and CRO strategies for growth leaders responsible for revenue. Practical. Free. Weekly.
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