WaysConf Podcast

The talk delivers a handful of genuinely useful frameworks - what research to democratize first (phase, method, risk), and how researchers maintain unique voice (scope, depth, analysis level) - but the overall density is modest. Large stretches are taken up by scene-setting, taxonomy coinage, and audience interaction rather than substantive ideas.

“the easiest thing you can do after the interview is do kind of report, uh this person said this and that and they like this and that and this and that is a challenge. Right, but the problem is ChatGPT can do it.”

“So maybe you can lean towards democratizing uh evaluational research which are more straightforward and also some things are easier to roll back uh if needed”

The democratization debate has been circulating in UX research circles for years and the talk explicitly acknowledges this; the creative Latin taxonomy (Homo questionarius, Strategus Synthesarius) dresses familiar ideas in new labels without advancing genuinely novel arguments. The Darwin quote capping the talk is among the most recycled in business presentations.

“it's not the strongest of species that survive, nor the most intelligent, but the most responsive to change”

“IKEA effect. So we tend to overvalue the things that we help build uh, if we engage our stakeholders into doing this research actually by themselves.”

Both speakers are genuine practitioners with 8 - 12 years of real industry experience at credible organisations (Allegro, Zendesk), giving their perspectives earned credibility. However, they are mid-career individual contributors presenting at a conference, not senior leaders who drove major organisational transformations at scale, and no unique authority beyond their day-to-day practitioner view is demonstrated.

“Laura started in 2017, I've started in 2013”

“Our research team is eight researchers, eight specialists, one research, uh, uh, operations specialist, and then uh, two managers”

The speakers provide concrete Zendesk organisational numbers (6,000 employees, ~1,500 customer-facing, 8 researchers + 1 ops + 2 managers) and name specific tools and processes (DIY UX research training, two repositories, standardised recruitment, Slack bot). What is missing entirely is outcome data - no metrics showing whether democratisation improved velocity, quality, or business impact.

“Zendesk hires around 6 uh thousand uh people worldwide and out of those 15 uh, hundred around, give or take, are interacting with customers on a regular basis”

“One is built within our confluence and it's for more structured reports and research plans. Uh and then we have user voice that is used for more um, atomic insights”

This is a conference presentation rather than a traditional podcast interview, so deep follow-up is structurally limited; the Q&A does include a pointed, contextually grounded question about speed and small-team structures, and the speakers respond with disarming honesty about unresolved tensions. However, no real pushback or productive disagreement occurs, and most answers remain at a general level.

“What if the trend goes towards what we've seen, for example, in Tom from Intercom's presentation, more towards speed and down to earth thinking and smaller teams shipping things really fast.”

“I still feel like we are trying to figure that out. And I think that we haven't brought that discussion in the broader team, in our research team yet.”