5+ years owning the full test lifecycle — hypothesis, test planning, build, pre-launch QA, launch, and post-launch analysis and reporting — for marketing and product teams that need speed without sacrificing rigor.
The specific tools change by employer — the workflow doesn't. Here's what I've used to identify opportunities, run the test, and report the result.
Optimizely, vanilla JS/HTML/CSS
Full A/B & multivariate test ownership — comparable in function to Adobe Target, VWO, and other experimentation tools
GA4, Hotjar, Power BI
Site & funnel analytics plus session/heatmap behavior data — comparable in function to Adobe Analytics & Contentsquare
Figma, Illustrator, Photoshop, PHP/databases
Defining UX requirements, mocking variations, and shipping tests without waiting on an engineering queue
Also hands-on with AI-assisted workflows — I built an internal CRO tool that integrates APIs and AI to standardize test setup and speed up reporting.
One example of the full loop: noticing a friction point, forming a hypothesis, shipping the variation, and measuring the result.
After a user submitted their email for a 20%-off code, there was no urgency to redeem it and no visibility into the final price. Rewriting the post-submit state — with a live countdown, the discount applied against a real price, and a confetti moment on redemption — closed that gap.
Read the full case study →Pricing tables, checkout flow, promo placement, and navigation — see the hypothesis and the shipped variation for each.
Browse All Case StudiesOpen to Conversion Strategy, Experimentation, and CRO roles where testing rigor and shipping speed both matter.