in this episode, Lea Mattern shares hard-won tactics for driving experimentation adoption inside organizations.

Based on her experience at Condor Airlines and German brands she worked with at Konversionskraft, we break down what actually works when you work at a Center of Excellence trying to increase experimentation adoption.

4 practical guidelines we cover:

1. do internal marketing ('yes, be annoying, lol');
2. make experimentation low-effort (bring or lend your own developer);
3. talk to POs about what they need and how you can help them with experimentation;
4. Use designers as Trojan horses: they already have the ideas, you just need to teach them experimentation;

-- do this with empathy, and adoption stops being a battle. 👑.

• Follow Lea Mattern on Linkedin.

this podcast was brought to you by The Initial. we help organizations install in-house experimentation programs and teach CRO agencies how to do this successfully. For the love of experimentation.

In this episode, Alisa Antypova (ex-Preply & ADC Consulting) opens the door to her world of experimentation.

She talks about her start in data science, building Preply’s experimentation platform from the ground up, and how decisions become sharper when you test instead of guess.

We explore airlines, marketplaces, and other complex systems where a single decision can create wide ripple effects. We talk about holdouts, the quiet truth tellers, and the risk of scaling tests that don’t really matter.

Alisa shares the mistakes she’s seen, the traps teams often fall into, and why understanding what doesn’t work may be one of the most underrated skills in experimentation.

Follow Alisa on LinkedIn:

https://www.linkedin.com/in/alisa-antypova/

Article she referenced on airlines and experimentation:

https://adc-consulting.com/cases/how-latam-airlines-embraced-business-experimentation-for-revenue-management/

In this conversation, Giedrius shares his journey from academia to working on experimentation at Vinted.

He talks about the messiness of testing in a marketplace, where every A/B test affects both sellers and buyers. We discuss why shared metrics matter, and how difficult, yet worthwhile, it is to build a culture that truly experiments.

We get into the slow, steady work of improving this craft. The friction teams face when moving toward a data-driven way of working. And the patience that process demands.

Giedrius also reminds us that experimentation isn’t only for large companies. Small teams and big teams alike can learn from user behavior, if they take the time to test with intention.