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Guest Spotlight: Medha Umarji

Medha Umarji
Fanatics | Exec

About Medha Umarji

Medha Umarji is VP of Experimentation at Fanatics, where she leads the experimentation program across the fan-commerce platform. She focuses on growth through disciplined testing, building the team, tooling, and culture that let a retailer serving passionate sports fans turn experimentation into a repeatable engine for conversion and revenue gains.

Notable Quotes

"Your odds of winning at roulette or poker are probably higher than your odds of winning at experimentation. It's literally like gambling. And if you like a challenge, that makes it more fun."

"We don't have to convince people to test things anymore. It's more of how do we do it—not why. And that shift is exactly where you want to be as an experimentation team."

"But we have a rule: if you can't explain the causality through your micro-metrics, you replicate it."

"We reran it. Completely flat. That was a real instance of us running into that 5% false positive rate—and it would have been a wrong decision if we hadn't caught it."

Medha Umarji
Fanatics | VP, Experimentation

How experimentation led to annual growth at Fanatics

Go to S1 | E10

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Takeaways

All Takeaways

Documenting experiments in a centralized Wiki creates a growth flywheel: Fanatics' Wiki feeds their roadmap with iterations on already-built features, reducing tech dependency and accelerating velocity.

Go to S1 | E10

Top-down buy-in shifts the conversation from "why test?" to "how do we test?": When leadership treats data as the tiebreaker, teams stop defending opinions and start building better experiments.

Go to S1 | E10

Micro-metrics establish causality beyond top-line KPIs: If revenue moves but scroll depth, cart adds, and product views don't follow the same pattern, question the result before declaring a win.

Go to S1 | E10

Frameworks like "do no harm" and "small sample" expand who can test: Not every initiative needs 30,000 orders to ship value—lower the barrier for teams that can't hit statistical thresholds while protecting core KPIs.

Go to S1 | E10

Replication catches false positives: A 95% confidence level still means 1 in 20 results are noise—if a critical test outcome can't be explained through micro-metrics, run it again before committing resources.

Go to S1 | E10
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