Experiment Nation: The Podcast

Jon Crowder joins Tracy Laranjo to explain why ethical experimentation is not just better for customers—it is better for long-term growth. They unpack fake urgency, misleading pricing and subscription tactics, short-term A/B test wins that erode trust, and practical ways to design experiments that improve retention, lifetime value, and revenue.Chapters:0:00 Welcome & introducing Jon Crowder1:29 Why ethical experimentation matters2:17 The pressure to drive results at any cost7:17 When winning an A/B test loses money long term8:34 Reframing urgency into trust-building experiences13:38 Choosing clients and setting ethical boundaries16:37 The ethics of price testing19:21 Fake sales, subscriptions & agency pressure20:46 How to steer unethical tests into ethical ones23:09 Have urgency and scarcity gone too far?24:02 Why legacy businesses cling to outdated tactics27:36 Gen Z, trust, and changing expectations29:48 What an ethical future for digital experiences looks like34:30 Brands that earn loyalty through values38:27 Why ethical experiences convert better40:15 A simple test for ethical experimentation41:37 Where to find Jon#CRO #Experimentation #ABTesting #GrowthMarketing #EthicalMarketing #ProductGrowth #ConversionOptimization #DigitalExperience #CustomerExperience #Retention #MarketingStrategy #GrowthStrategy


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In this episode, we dive into CRO “best practices” that completely failed in real-world experimentation. From homepage carousels unexpectedly winning tests to why most experimenters still don’t trust AI-generated CRO workflows, we unpack the messy reality behind optimization advice.We also debate synthetic AI users for research, discuss the most useful survey questions in CRO, roast dark-mode websites, and explain why emotional branding can sometimes hurt usability.Join our slack: https://join.slack.com/t/experiment-nation/shared_invite/zt-3zowejvoj-ujS_tbqfXcPkS9O0rnWhTQTopics include:Why homepage carousels occasionally winAI-powered A/B testing platformsSynthetic users & fake research dataBest and worst CRO survey questionsDark mode website UXWhy qualitative context still mattersJoin the Experiment Nation Slack community to participate in future discussions and question threads.Chapters00:00 Intro & CRO community questions01:46 CRO best practices that failed in real life02:28 Do homepage carousels actually work?05:02 Hero videos, agencies & emotional design06:25 When carousels might make sense08:24 Should AI run the entire CRO workflow?11:48 Why experimenters still don’t trust AI14:49 Best & worst survey questions in CRO17:30 Emotional branding vs usable websites18:26 Dark mode websites & readability debate21:29 Synthetic AI users for testing & research23:56 Why fake users can’t mimic real humans26:32 Using AI as a research starting point28:41 Closing thoughts & Slack community invite


This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit experimentnation.substack.com

What do you do when an experiment tanks conversion rate by 8% in less than a week?In this episode, Gerda and Rommil break down real CRO and experimentation scenarios submitted by the community, including failed tests, executive pressure, guardrail metrics, knowledge management, developer friction, and why experimentation teams always seem to end up back in spreadsheets.Check out: http://katsed.com/We also discuss:
* Root cause analysis for failed experiments
* How to calm leadership during testing disasters
* Guardrail metrics and control limits
* Why experimentation knowledge banks become messy
* Airtable vs spreadsheets vs enterprise tools
* Why developers and designers struggle with experimentation culture
* How to onboard technical teams into testing workflows
A practical conversation for experimentation leads, growth teams, product managers, CRO specialists, and anyone building an experimentation culture.Chapters00:00 Burger Menu Debate: Left vs Right01:28 Mystery Meat Navigation & UX History03:03 Why Modern Phones Break UX05:08 Community CRO Scenarios Begin06:18 Experiment Tanks Conversion by 8%07:33 Root Cause Analysis & Leadership Pressure09:17 QA, Tracking Errors & Failed Tests10:03 Building a CRO Analysis Tool12:18 Probabilistic Root Cause Detection14:26 Managing Panic During Bad Experiments15:21 Guardrail Metrics Explained16:40 Using Control Limits in Experimentation18:18 Building an Experimentation Knowledge Bank20:05 Why You Don’t Need AI for Everything21:08 Why Process Changes Create Admin Pain23:08 Migrating Between Experimentation Tools24:31 Why Teams Always Go Back to Spreadsheets26:50 CRO Teams vs Developers & Designers29:09 Why Early Experiments Should Be Simple30:41 Why Developers Hate “Throwaway Code”32:16 Designers vs Experiment Constraints33:02 Outro & Next Community Questions


This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit experimentnation.substack.com

Most teams say they “do research”… but very few actually do it well.In this episode, we break down what real customer research looks like in CRO and growth. From analyzing 200+ survey responses manually, to why AI still struggles with qualitative data, to the politics that slow everything down.We also get into:Why AI fails at nuanced research (and what it misses)How to actually analyze open-ended survey responsesThe biggest mistakes teams make with surveysWhy companies avoid talking to customers (and why that’s a red flag)How research becomes a political nightmare in larger orgsWhen you should sample vs analyze everythingHow research fuels better marketing and personalizationAnd yes… we somehow end up talking about billion dollars and laundry.If you’re in CRO, growth, product, or marketing, this is the stuff people don’t usually say out loud.👇 Timestamps00:00 Why content actually drives opportunities03:15 What “research” really means04:00 How many responses you actually need06:00 Why AI fails at qualitative analysis07:30 When to sample vs analyze everything09:00 Using research for marketing copy10:00 Why not talking to customers is a red flag11:00 Survey politics and internal resistance13:30 Bad survey questions and bias16:00 Personalization vs CRO (what’s the difference?)22:30 Personalizing outreach properly26:30 Why research projects spiral out of control29:00 How to actually make research a habit31:00 How to ship research faster (timeboxing)34:00 “Business jiu-jitsu” and fake urgency35:30 Final thoughts (and laundry)


This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit experimentnation.substack.com

In this episode, we dive into the realities of CRO (Conversion Rate Optimization) today — from AI anxiety to experimentation culture and how teams should actually be structured.
We start with a surprisingly philosophical take on photography and overthinking, then quickly shift into what’s really happening in the CRO and AI space right now.
We discuss:
* Why AI might be making everything look the same
* The growing fear (and noise) around AI in CRO
* How to structure CRO teams: centralized vs hybrid vs embedded
* Why experimentation still struggles with a “nice-to-have” perception
* What actually builds a strong experimentation culture
* How individual contributors can influence culture without authority
* And how to position CRO as a true growth engine, not just testing
If you work in growth, product, or experimentation, this is a candid look at what’s changing and what actually matters.
Chapters
0:00 – Photography, overthinking, and creative process1:26 – Back to CRO: what’s happening in the industry2:07 – AI concerns and job market anxiety2:45 – The “everything looks the same” AI problem4:00 – Too many AI tools, no real differentiation5:38 – What people are really asking about AI6:23 – AI fear vs reality (and layoffs)7:08 – Fear-mongering vs signal8:00 – Fear and decision-making9:00 – CRO team structures: centralized, hybrid, embedded9:31 – Why centralized works early10:08 – When to move to hybrid10:29 – Why embedded is hard11:04 – The role of leadership buy-in12:13 – Why experimentation gets cut first13:00 – CRO’s “nice-to-have” branding problem14:00 – Why CRO is easy to underestimate15:45 – Future-proofing: combine CRO with other skills16:54 – Building experimentation culture (the “laundry” analogy)18:19 – How to destroy experimentation culture19:23 – Why authority and buy-in matter20:25 – How ICs can influence culture21:34 – Reframing experimentation as empowerment23:09 – Becoming a catalyst across teams24:46 – Confidence and presence in CRO roles25:59 – CRO vs Growth: what’s the difference?27:24 – Where CRO fits inside growth teams28:02 – Moving CRO upstream into systems thinking29:00 – Closing thoughts


This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit experimentnation.substack.com