Ok, this information has been helpful. What Elizabeth and Steve say
about the statistical methods (clustering, etc.) behind persona
creation makes sense, and that kind of analysis is something that I
already do. 

The problem is that I've never witnessed nor heard of personas being
created in such a manner (which is perhaps part of a larger problem).
Rather, I see examples of personas described in an amount of detail
that would necessitate a large and comprehensive dataset, built up
iteratively based on ongoing analyses. That would be ideal, I think,
but it seems to be something of a rarity in industry, and so my
concern is that such detail is often added based just on a hunch.

Also, classification and grouping methods have been around for a
while. If personas make use of the same methods, does persona
creation mainly involve adding another step to the process:
instantiating the different classifications into individual
characters? If so, the primary benefit of doing would seem to be the
achievement of a possible means of communication with others
(clients, developers, etc.).

I can see using the instantiations as a focus for design, too, but
there's a risk of treating the creation as more than a statistical
representation, which could lead to assumptions about the
character's behavior, motivation, and characteristics that are based
on the designer's stereotypes rather than on actual data. However, I
can imagine that being either a good or a bad thing, depending on the
designer. 

Thanks for all the info so far.

Mike


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Posted from the new ixda.org
http://www.ixda.org/discuss?post=35624


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