How to Fund Experimentation on Evidence, Not Arguments
One honest experiment result can get a growth program funded or gutted. The fix isn't better reporting — it's pre-registration, borrowed from clinical trials.
Articles exploring leadership through the lens of behavioral science and experimentation. Practical frameworks for growth leaders who measure in revenue, not vanity metrics.
14articles
One honest experiment result can get a growth program funded or gutted. The fix isn't better reporting — it's pre-registration, borrowed from clinical trials.
A practical way to compare experimentation, brand, and performance marketing evidence without turning modeled impact into a guarantee.
How to report experiment win rates with a visible denominator, decision rule, evidence quality, business impact, and explicit limits.
How pre-committed metrics, decision rules, and a shared evidence record keep A/B test interpretation from drifting after results arrive.
How to make defensible experiment decisions with limited traffic, small teams, operational constraints, and stakeholder pressure.
Scaling experimentation breaks intake, hypothesis integrity, capacity, and tooling — usually in that order. What fails at 20, 100, and 1,000 tests a year.
Lessons from presenting experimentation evidence to executives at NRG and SVB, from decision framing to financial assumptions.
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.
Map your experimentation career from junior analyst to VP. Learn what skills, experiences, and leadership capabilities define each stage of the journey.
When leaders override data with gut instinct, experimentation programs stall. Learn practical strategies to address results-ignored patterns without burning bridges.
Stakeholder skepticism kills experimentation programs. Learn why people resist test data and how to build trust through transparency, education, and process.
A practical guide to securing leadership support for experimentation. Frame A/B testing as risk reduction, not just optimization, to win executive commitment.
What it means to be an AI-native company in 2026. How to build an AI-first organization from culture to infrastructure to hiring.
How to write experiment briefs that prevent last-minute stakeholder rewrites by building alignment into the document structure.