The Baseline Conversion Trap: Why Your A/B Test Baseline Is Already Wrong
How denominator and time-window mistakes distort experiment baselines, with an illustrative worked example and a framework for sizing under uncertainty.
Know what to test, when to trust the result, and what to do next. Practical guides for analysts, growth teams, and founders.
How denominator and time-window mistakes distort experiment baselines, with an illustrative worked example and a framework for sizing under uncertainty.
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Lessons from presenting experimentation evidence to executives at NRG and SVB, from decision framing to financial assumptions.
Most experimentation advice assumes perfect statistical significance. Here is how to make the best decision when the data will never be complete — a…
When something works, double down. But never become dependent on a single acquisition channel.
How Atticus Li used NRG Energy's internal EBITDA impact model to translate test-window evidence into assumption-labeled financial estimates.
Five historical NRG enrollment experiments with internally reported test results and $1M+ in modeled annual impact—not externally audited revenue.
How an internal-consulting model changes an experimentation team’s role, with outcomes to measure rather than a promised performance advantage.
Lessons from leading marketing analytics at SVB and NRG, including measurement systems, geo tests, and executive decisions.
SVB OOH geo test: treatment markets grew, but the Seattle control grew faster, so the result did not establish causal lift.
A July 2026 Jobsolv snapshot: 35K+ users, $80K+ total revenue, $0 current paid acquisition, earlier paid tests, and explicit cost limits.
How Atticus Li managed a 27-person Jobsolv roster across the build, with up to 22 active in a week, while working full-time at NRG Energy.
How Atticus Li governed 100+ annual tests across five NRG Energy retail brands, with explicit rules for stopping, collisions, prioritization, and evidence.
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