The Experimentation Edge

By Growthbook

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Category: Business

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Episodes: 34

Description

How do product teams decide what to build and what not to? The Experimentation Edge is the podcast where product, growth, and engineering leaders share how A/B testing, feature flags, and experimentation drive real business outcomes — backed by named companies and real numbers. From DoorDash's 12,000 A/B tests a year to Atlassian's experimentation-led product win to UPS's $500M experimentation team, each episode goes deep with operators running experimentation programs at scale. Hosted by Ashley Stirrup, CMO at GrowthBook and a 25-year executive in data and experimentation. For product managers, engineers, data scientists, and growth leaders at B2B tech companies who care about experimentation culture, statistical rigor, and shipping with confidence. No marketing speak. Just operators explaining what they shipped, what moved the needle, and how experimentation reshaped their teams. Topics: A/B testing, experimentation, growth experimentation, product experimentation, tech experimentation, feature flags, experimentation culture, statistical significance, marketplace experimentation, conversion rate optimization, experimentation at scale.

Episode Date
Why JobLeads says one test won't move you, but 100 will
Aug 26, 2026
Why The Aspen Group targets a 25% win rate
Aug 20, 2026
How Principal A/B tests on customers who don't exist
Aug 18, 2026
Why US Bank considers missing even 1% of customers unacceptable
Aug 11, 2026
Why Farfetch manages by learning rate, not win rate
Aug 05, 2026
How Cogniteer Built an Experimentation Engine From Scratch
Jul 23, 2026
How Fin A/B Tests Millions of Samples in Days
Jul 21, 2026
How Kargo turns losing experiments into competitive edges
Jul 14, 2026
The 'wine effect' and other surprises that reshaped how Box runs e-commerce experiments
Jul 09, 2026
Dilligent explains why moving on from an experiment might cost you
Jul 07, 2026
The metric Stitch Fix says every experimenter should chase
Jul 02, 2026
What the Expedia Group cannot measure, it cannot ship
Jul 01, 2026
How Fin went from weeks to hours of analysis using AI
Jun 30, 2026
Inside The Home Depot's experimentation at a $25B scale
Jun 29, 2026
How Disney picks which experiments to run
Jun 29, 2026
Ship faster, measure better: experimentation tips from JPMorgan Chase
Jun 25, 2026
Twitch on why false negatives kill product ideas
Jun 24, 2026
Squarespace killed its blank template and built something better
Jun 23, 2026
Signet Jeweler's "View All" page made more money by showing less
Jun 17, 2026
RingCentral's DART framework: The four metrics that actually measure AI agents
Jun 15, 2026
The 2% close rate increase that turned Ford Credit's product teams into believers
Jun 02, 2026
Atlassian on the talent product turnaround from A/B testing
May 13, 2026
How DoorDash saved millions with one A/B test
May 12, 2026
How UPS generated half a billion from 80+ apps with A/B testing
May 11, 2026
How Experimentation Led to Annual Growth at Fanatics
May 07, 2026
Inside Chess.com's Plan to Run 1,000 Experiments in a Single Year
Apr 21, 2026
Ancestry on AI Storytelling, Paywalls, and Decision Quality
Apr 14, 2026
Fyxer's engineering playbook to go from $1M to $35M ARR
Apr 02, 2026
The 5 pixels that cost LinkedIn a million dollars a month
Apr 02, 2026
Truist on shipping faster and more safely with AI and human-in-the-loop banking
Apr 02, 2026
From chatbots to open-world agents at Microsoft: evals, go-live metrics, and copilot velocity
Mar 17, 2026
Upwork on AI-Driven Ops at scale
Mar 11, 2026
How Moxie Pest Control boosted conversions 5% with data and coaching
Mar 05, 2026
Typeform on how to stop running experiments and start earning them
Feb 24, 2026