Over a million developers have joined DZone.
{{announcement.body}}
{{announcement.title}}

Who Needs UX Professionals Anyway?

DZone's Guide to

Who Needs UX Professionals Anyway?

Tony Russell-Rose examples the fundamentals of UX professionals and wonders if a robot UXer is an option at some point.

· Web Dev Zone
Free Resource

Learn how to build modern digital experience apps with Crafter CMS. Download this eBook now. Brought to you in partnership with Crafter Software

Most of us who work on digital products are familiar with the concept of A/B or multivariate testing – the process of exposing users to multiple variations of a design concept and using their aggregate behavior to identify the optimal design, based on a predefined set of metrics. By gathering data across thousands of individual user sessions, multivariate testing can provide a rigorous evidence base for principled decision making. In principle, such data-centric, quantitative research techniques can be highly complementary to the more qualitative, user-centric research techniques typically associated with the UX profession.

But A/B testing isn’t always deployed to the best effect. In my experience, some A/B tests are targeted at genuinely open research questions where the outcome delivers a unique and valuable insight. But there are others where I have thought in hindsight “well, I could have predicted that outcome and saved you the trouble.” Of course, it’s easy to be wise after the event. So here’s a thought: next time you see an A/B test being planned, why don’t you try to predict the outcome? And I mean not just once, but for every test, and then systematically record and measure the accuracy of your own predictions.

IMHO this could generate some valuable insights:

  • Qualitative researchers gain a much clearer idea of where their design instincts depart from reality
  • Quantitative researchers get to better understand the sorts of problems for which there are existing best practices embedded in collective judgement and UX design expertise

Who knows, we could even train a machine learning model to learn the mapping between problem characteristics and predictability of outcome, and hence create a ‘robot UXer’.  I am intrigued by this prospect, and can’t help thinking that others must also have considered this possibility. Does anyone know of any published work exploring this idea?

Crafter is a modern CMS platform for building modern websites and content-rich digital experiences. Download this eBook now. Brought to you in partnership with Crafter Software.

Topics:
ux design ,web design and web development ,multivariate testing

Published at DZone with permission of Tony Russell-rose, DZone MVB. See the original article here.

Opinions expressed by DZone contributors are their own.

{{ parent.title || parent.header.title}}

{{ parent.tldr }}

{{ parent.urlSource.name }}