The Future of UX Research and the Importance of Evaluative Research Today with Dr. Nick Fine - Ep16

[@HandMeDeals]

Dr. Nick is one of the UXR Gods of the industry lol. Very informative video with a plethora of useful information. Would be nice if you would one day have Mike Locke, Darren Hood, Debbie levvit, and Tony Moura as guests. Thank you!

[@vaexperience]

Had Debbie on a couple of episodes back make sure to check it out

[@HandMeDeals]

@@vaexperience ah got will do!

[@planetthunter]

100% agree that the democratization of UXR (and UX in the near future) is a dead end.

[@gaodi8506]

I agree in 43:00, the physical worker has a little more time to be horrified by AI, once the physical AI of NIVIDA and Tesla is out of production, that will be a nightmare for the blue-collar.

[@rakibhossainea]

Hi sir, I am Rakib Hossain from Bangladesh. I am currently taking the google UX design Certificate program. I watched the whole interview. It was informative and daunting at the same time. My question is after watching the interview , Am I taking the right step to break into the field of UX?

[@plextoob]

These winges are a response to ongoing changes in the tech industry specific to research and design. Granted things are getting worse, but they are also getting better. This slavish devotion to the past is antagonistic to the progressive nature of design. As research and design practitioners a vital competency is going with the flow. Tech is still embryotic and that also goes for all the roles and ways of working. You can choose to winge about these changes or adaopt and contribute to them. The latter is less stressful and more rewarding, frankly.

[@fazalnajam]

Fantastic discussion! Though I'd say it seems like the academic-practitioner debate. I get that nobody's gives a F abt research and "informed" decisions, just banking on marketability but you guys haven't considered the "lag" in research. I mean it's not like one single person made an observation (qual) study and it's perfect (Nick addresses this), it has to be "made" reliable through repeatability, validity and review studies and that's academia. Frankly, most companies won't either have the economy or the time to support this. If we've to make it fast, we need more tailored academic integration with more industries. Anyway, insightful as always!

[@TommyOkail]

Appreciate the enthusiasm and the insights, but I can't feel but disappointed. //Full disclaimer, I'm definitely biased, I'm a cofounder of a UX tool that is heavily depended on AI, we have +50k designer/researchers using our app, and many teams from big-name companies. We are 1.5 years in and seeing no sign of slowing down, so hopefully not a graveyard material. // With that disclaimer out of the way, I'm 35mins in the video, and all I hear is discouragement. What is the message that we are trying to convey here? why do we want to bring "old" times back? Do we count all the billion-dollar failures of recent past on old methods? The market is shifting toward profit first, and this is how it should have been from the beginning. Claiming that AI will cause all sort of issues while are in a practical recession partially caused by the over hiring and overspending is really not a good look. AI is a tool, it's not a replacement. Learn it, embrace it, or get left behind.