I agree it's a huge shift, and can be dangerous in the wrong hands.
Then again, I've seen personas run amok and make products that fit no
one, so I can't say anything is 100% safe if applied by people who are
foolish, have poor judgment, are evil or inexperienced.

What I like about it is that it gets back to the core of the task-based
analysis. It's not who the user is; it's what do they do? In all cases,
making something work so it can be done faster, with fewer extraneous
complexities, yet with power user features available where needed, is
desired. I think a lot of use casing exists to try to "prove" these
needs to those who are inexperienced.

Aggregate data, like statistical data, only means what it means, I
guess. Good points.

--- Mark Schraad <[EMAIL PROTECTED]> wrote:

> This is a huge shift. A persona is a deep sample with very specific
> goals, behaviors and therfore perspective. If you switch to utilizing
> an architype - (they tend to be more of an agregate character similar
> to stereotypes) you are looking at a shallow sample with a lot less
> specificity. The dynamics of this shift are really important to
> consider. I find that there is certainly a time for aggregate or
> average data - segmenting, feature importance, use load, etc - but it
> often muddies the picture of who I am designing for.

http://technical-writing.dionysius.com/
technical writing | consulting | development


      
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