On Tue, Sep 1, 2009 at 23:32, Paul Trumble<paultrum...@gmail.com> wrote:
> Actually we did an a/b test with an auto-complete feature, with disastrous
> results.  Personally I think the lack of an agreed upon vocabulary killed
> it.  While you know what your high school is called, there might be 25 ways
> to name your job.

hm… If the auto-completer just triggers suggestions based on more or
less literally matching terms: yes, certainly. But maybe it would be
possible to have it search within semantic fields instead? And how
about elevating the usefulness of suggestions further with some social
metrics of your users and the like?

Further: maybe drilling down through possibilities could get easier
when employing facets for classification instead of a taxonomy.

> Thanks for the ideas.  Let me know if you have any others.

Let's see. But I'd like to ask more questions first:

* What kind of information about the users do you already have at this point?
* Is it absolutely crucial to request this information exactly at this
time? Maybe it could be easier to collect the required information
later.
* How do the users come to register and what happens afterwards?
* Could you maybe outline the whole registration process as currently
planned? As far and detailed as possible?
* On a side note: a large multi-step/-screen form does not seem like
the optimal way to get good follow-through/conversion rates ;-)

To come up with better ideas for this would probably also require some
more knowledge about your prospective users, their goals, business
objectives etc. I don't know how much about those you are willing or
able to share without having NDAs signed, though. (Given the
importance you hinted at, I guess that we might touch some
sensible/strategic business issues here.)

Cheers,


Sascha
--
& : create

https://www.xing.com/profile/Sascha_Brossmann
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