Behavioral Economics After the Replication Crisis: Trust But Verify
Behavioral economics is powerful, but the field has had a reputation crisis.
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Writing · Lean Experiments
Revenue-First
Revenue-First
Experimentation
Practical A/B testing frameworks, behavioral science, and conversion optimization — for growth leaders responsible for revenue.
Build What You Use: The Founder's Unfair Advantage in the AI Era
The best products come from founders who use their own product every day.
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The Data Analyst's Role: From Numbers to Decisions
A data analyst's real job is not producing dashboards. It is helping stakeholders make better decisions with data.
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Data Storytelling: How to Present Analytics to Executives Who've Never Seen the Data
Lessons from presenting experimentation evidence to executives at NRG and SVB, from decision framing to financial assumptions.
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Decisions with Incomplete Data: The Real Job of an Experimentation Lead
Most experimentation advice assumes perfect statistical significance. Here is how to make the best decision when the data will never be complete — a…
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Double Down But Diversify: The Case Against Single-Channel Growth
When something works, double down. But never become dependent on a single acquisition channel.
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The EBITDA Impact Model: How I Tied Every Experiment to Business Outcomes
How Atticus Li used NRG Energy's internal EBITDA impact model to translate test-window evidence into assumption-labeled financial estimates.
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Enrollment Flow Optimization: 5 Experiments with $1M+ in Projected Annual Impact
Five historical NRG enrollment experiments with internally reported test results and $1M+ in modeled annual impact—not externally audited revenue.
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Experimentation Teams Should Operate Like Internal Consultants
How an internal-consulting model changes an experimentation team’s role, with outcomes to measure rather than a promised performance advantage.
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From SVB to NRG: What Enterprise Marketing Analytics Actually Looks Like
Lessons from leading marketing analytics at SVB and NRG, including measurement systems, geo tests, and executive decisions.
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What an SVB OOH Geo Test Did—and Did Not—Prove
SVB OOH geo test: treatment markets grew, but the Seattle control grew faster, so the result did not establish causal lift.
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Jobsolv at 35K Users: What $0 Current Paid Acquisition Means
A July 2026 Jobsolv snapshot: 35K+ users, $80K+ total revenue, $0 current paid acquisition, earlier paid tests, and explicit cost limits.
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Managing a 27-Person Roster as a Solo Founder with a Full-Time Role
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.
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Multi-Brand Experimentation Governance: Running 100+ Tests Across 5 Energy Brands
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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Stop Solutionizing: Why the Best Hypotheses Start with the Problem
How to write problem-first hypotheses that connect observed user friction, a plausible mechanism, and a measurable business decision.
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The Product Manager's Guide to Working with Experimentation Teams
A practical guide for PMs working with experimentation teams, from test duration and scope to interpretation and rollout decisions.
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Build the Evidence Before You Scale Experimentation
How to connect early experimentation evidence to business decisions without treating annualized models as realized revenue.
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From Services to SaaS: How I Validated Jobsolv Before Writing a Line of Code
A founder-reported Jobsolv cohort: 24 of 26 service clients received at least one interview within 30 days, followed by the transition from service to software.
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The Solo Founder's Playbook for Growth, Experimentation, and Shipping
A practical solo-founder playbook for experimentation, channel choices, and shipping when time, traffic, and budget are constrained.
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Speak the CFO's Language: How to Get Budget for Experimentation
How to present test-window evidence, modeled financial impact, and recognized outcomes so finance can inspect an experimentation investment.
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Standards Are How Experimentation Teams Survive Turnover
How durable templates, decision rules, and ownership standards preserve experimentation quality through growth and turnover.
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What UX Researchers Get Right (And What Breaks in Enterprise Reality)
UX researchers trained in academic rigor often struggle to deliver inside real companies.
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Why Most A/B Tests Fail (And How to Fix Your Experimentation Program)
Five process failures that undermine A/B tests, plus practical fixes for tracking, metrics, sample size, and stakeholder decisions.
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Why Most CRO Advice Breaks When You Apply It to Real Companies
The biggest CRO influencers run programs at companies with Netflix-level traffic. That is not your reality.
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