In this episode, we answer real, unfiltered questions from the CRO and experimentation community. We dig into how far AI can realistically help with experimentation, why revenue metrics like ARPU are a nightmare for MDE calculations, how to handle sketchy interview “audits,” and why ROI conversations never seem to end.
No hype. No magic bullets. Just honest perspectives from people actually doing the work.
Topics include:
Where AI helps (and quietly breaks) CRO workflows
How to think about MDEs for continuous metrics like ARPU
Making time for research when you’re already drowning
When “auditing a site” crosses into spec work
Volume hiring for CRO roles
Escaping (or not) the endless ROI loop
Why some CRO agencies don’t have designers
Drop your own questions in the comments or check the links below to submit anonymously.
- Ask us a question here: https://docs.google.com/forms/d/e/1FAIpQLSd8P5yCsO5NB6WPe204k1WExhH1Bs8w6nZxPRRn-BiAGozpaQ/viewform
- Visit Koalatative here: https://www.youtube.com/@koalatative
⏱️ Chapters
00:00 – Intro & warm-up
04:34 – How far can AI actually help in delivering CRO?
11:19 – How do experimentation experts estimate MDE for continuous metrics like ARPU?
15:28 – How do you make the most of research time when there’s no time to do anything?
19:29 – How do you handle being asked to audit a site as part of a CRO interview?
24:20 – How do you approach CRO in volume recruitment?
28:21 – How do you get out of the endless ROI loop with stakeholders (and stop saying “CRO”)?
31:46 – Why do some CRO agencies not have designers on the team?
33:47 – Outro & announcements
#cro #experimentation #abtesting #aiincro #growth #productmanagement #conversionrateoptimization #experimentationculture #careerintech #experimentationnation
