Growth Engineering · Experimentation Systems
Growth engineering systems from the operator who scaled Postman from $60M to $100M+ ARR.
For Heads of Growth who need their experimentation infrastructure to actually generate defensible decisions, not vanity p-values.
A 15-minute call. No pitch. Let's explore if I can help you.
Previously led growth engineering at
What I do
Three ways to work together. Pick what matches your stage.
Consulting
Hands-on engagements with growth teams. Audit your experimentation infrastructure, prioritize the right tests, fix the SRM and stopping-rule failures that quietly invalidate your roadmap.
View consultingCourses
Self-paced training for growth engineers, PMs, and analysts. Production-tested A/B testing playbooks from teams that have actually shipped them at $100M+ ARR scale.
Browse coursesFree tools
Free calculators for real growth work: sample size, MDE, confidence intervals, interaction effects. Plus the Custom GPT trained on the course material.
Open toolsCourses
Production-tested playbooks, not academic theory.
Five courses spanning the concepts, design, analysis, engineering, and auditing of real experimentation. All included with your Delivering Growth membership.
For PMs, designers, and analysts new to experimentation
Product Experimentation 101
A conceptual crash course in designing, running, and measuring a single product experiment the right way. No statistics or engineering background required.
For practitioners who run experiments and want to level up
Experiment Design & Analysis
Advanced design decisions and statistical analysis for practitioners who already run experiments. Keep results interpretable and make defensible calls on messy, borderline data.
For engineers and platform builders
Growth Engineering: Fundamentals
A hands-on engineering course on implementing assignment, flag evaluation, exposure tracking, eligibility, traffic allocation, and cleanup for a real experimentation stack.
For practitioners auditing their own experimentation stack
Auditing Your Experimentation Setup
A hands-on, no-fluff audit of your experimentation infrastructure. Find the hidden bottlenecks that silently break tests, then fix them with evidence-backed checks.
For PMs, engineers, and analysts
Foundations of Experimentation
A practical survival guide to the statistics behind experimentation. Enough conceptual depth to trust your A/B tests and spot problems early, with no formulas to memorize.
Free Tools
Tools built for the messy realities of production growth work.
Sample Size & Duration
How many users per variant, and how long the test will take.
A/B Test Simulator
Watch p-values and confidence intervals evolve as conversions add up.
How Much Longer to Run?
Estimate the days left to reach significance at your current rates.
P-Value & CI Over Time
See whether your test is stabilizing as more data comes in.
MDE Calculator
Find the smallest effect you can reliably detect given your traffic.
Duration Estimator
How many days to finish, based on your daily traffic and variants.
Sample Size Per Variant
The sample size per variant needed to detect your target effect.
P-Value Calculator
Check significance from final totals with a two-proportion z-test.
Confidence Interval
A range of plausible outcomes for the lift, not just yes or no.
Interaction Effects
Spot interference when several A/B tests run at the same time.
Feature Flag Simulator
Build flags, evaluate them by user, and track every evaluation.
Custom GPT: Experimentation & PLG Advisor
A ChatGPT and Gemini advisor trained on the course material.
Watch how to design and analyze A/B tests using these calculators.
Ready to talk?
Tell me about your experimentation setup. I'll tell you what's working and what isn't.
15-minute call. No pitch. If we're a fit for a real engagement, we'll talk next steps.
Book a 15-minute call