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.
13 articles
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.
Brand marketing can't prove causation. Paid performance can attribute but can't isolate. A/B testing produces the closest thing to causal evidence in marketing.
Most A/B tests lose. Industry win rates hover around 15-30%, and that's not a failure — it's how experimentation actually works.
A/B test results don't live in a vacuum — they get interpreted, reframed, and weaponized by stakeholders with different agendas.
CRO articles assume unlimited traffic, dedicated teams, and rational stakeholders.
Atticus Li shares data storytelling lessons from presenting experimentation results to C-suite executives at NRG Energy and Silicon Valley Bank — including…
Atticus Li built and managed a 27-member cross-functional team for Jobsolv while working full-time as experimentation lead at NRG Energy — coordinating a…
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.