Radical innovation and UCD

“HCD, he [Don Norman] stated, was only suitable for incremental innovation. Norman argued that radical innovations were driven by technology changes, without any design research or formal analysis of needs. Once the radical innovation had been developed, however, then HCD was invaluable as a way of improving the product and enhancing its appeal, a good example being the way that both Facebook and Twitter have modified themselves since their initial introduction.”

Roberto Verganti, co-writer of the paper, also posits that ‘change of meaning’ can bring about radical innovation.

innovation-models

http://jnd.org/dn.mss/Norman%20%26%20Verganti.%20Design%20Research%20%26%20Innovation-18%20Mar%202012.pdf

 

Also, remember that statistical significance doesn’t necessarily require large numbers, it’s about the probability of the event we are observing not being caused by chance. The intention is to help you understand whether or not you should act on that observation. If you watch four out of four people fail to understand a question in a form, it is usually not that it was four people that makes you change the form, it is what you now understand about WHY the people are failing that allows you to improve the question so that less people will fail.

Sample size and confidence: how to get your team to trust qualitative research

Lean UX, Agile UX and UX UX (I made the last one up)

 

By Anders Ramsay
By Anders Ramsay

http://www.andersramsay.com/2012/04/24/agile-ux-vs-lean-ux/

Agile UX

“Ultimately, Agile is about high-quality high-velocity delivery of working software.”

A development/delivery methodology. Developer-centric, although UX has learnt to adapt.

Lean UX

“Cool, so now we’ve got this great Agile machine allowing us to be crazy-efficient in shipping software.  But, um, did anyone check to see if we are shipping the rightsoftware? … We are, in this model, not doing research before or after the product is made but throughout the product design and delivery process.”

Personas

Lots being written about personas, pitfalls of personas, the zombie persona. Personas are easy to get wrong, and it’s sometimes hard to tell at first glance if they are not useful, and I have created many non-useful personas in my years. There’s a summary of learnings for you.

In short, don’t use demographics unless they are demographics that do affect behaviour. (For example, if it’s a product for women going through menopause then gender and age range is relevant. ) But also include behavioural and attitudinal information.

I think that’s what I’m thinking in terms of personas at the moment.