There is such a thing as too much data

Tales of Design & User Experience (ToDUX) #4 ⁂ Dear readers and friends, I hope you’re all doing good. 😊 I have a two new pieces, both of which have been published in the UX Collective. The first one—“Listen to users, but only 85% of the time”—investigates why it’s not in the best interest of… Continue reading There is such a thing as too much data

“We Need to Get Rid of Significance in A/B Testing, Seriously!” Published in ACM interactions

The way A/B testing is done in many—if not most—companies today, p-values and significance are pretty much meaningless. Still, decision models often only allow treatments to be implemented if they achieved a "significant uplift". One better alternative is to employ a Bayesian approach which allows to report probabilities for minimum uplifts and to calculate ROI on a case-by-case basis.

Vamos a Barcelona 🏖️

Tales of Design & User Experience (ToDUX) #2 ⁂ Dear Subscribers, this is the first newsletter sent from my new home, which is indeed Barcelona 🏖️, and I wanna use it to update you on a couple of things. We still need to get rid of significance in A/B testing First of all, my piece… Continue reading Vamos a Barcelona 🏖️

We Need to Get Rid of Significance in A/B Testing

Tales of Design & User Experience (ToDUX) #1 ⁂ Dear Subscribers, Welcome to the first issue of ToDUX (= Tales of Design & User Experience; I’ve skipped the “& Other Stuff” for the acronym). But first things first—thank you all so much for joining my mailing list. I feel very honored. 🙂 As promised, I… Continue reading We Need to Get Rid of Significance in A/B Testing