On 11/27/07, Robert Hoekman, Jr. <[EMAIL PROTECTED]> wrote:
>
>
> Definitely falls under UX. So much can be learned about human behavior
> from
> stats, it's unreal. And stats don't lie, which is more than we can say
> about
> humans (even when these "lies" are unintentional).


This is *really* surprising to me... that you and Will believe analytics
falls *under* UXP. It depends on *why* you're using analytics, I suppose,
but if you're using it only for UXP purposes I don't think you're getting
the full business value from the practice. There are many good business uses
for analytics that fall outside the scope of UXP.

For example, what about tracking the effectiveness of advertising? Of
pay-per-click campaigns? Testing the messaging of one campaign against that
of another? These situations, while they have UXP components, fall over the
line into market research. I don't know about you guys, but market research
is neither my area of interest nor expertise.


Not to mention that the skills it takes to be an effective Web analyst are
different than (though similar to) the skills it takes to be an effective
UXP practitioner. Myself, I do primarily UXP but I also do analytics
projects. And when I'm doing a straight-up analytics project, it's not
always easy for me to take my UXP hat off (it never does, and it never
should, come off completely) and get down to questions about aspects of the
practice that aren't directly UXP-related. Here are some things analytics
practitioners need to do:

- Determine technical analytics requirements

- Determine how other information systems will get integrated into the
analytics solution (CRM data, product data, etc.)

- Create RFIs and RFPs for vendors to determine the correct analytics
solution for the given situation

- Monitor and test the accuracy of an implementation

- Address business issues that don't directly relate to UXP (e.g., keeping
track of which products are selling best, the aforementioned market research
tasks, etc.)


I don't know about you guys, but I've got enough to do on a typical UXP
project without all that junk thrown on top of it!

There's another distinction as well that Katie addressed. Analytics doesn't
answer the "why." UXP *can.* And this is why I constantly champion *strong
collaboration* between UXP and analytics. They need to be separate practices
due to their different focuses and different uses, but these separate
practices do need to work very closely with one another because they provide
value for one another. Analytics provides quantitative data for UXP to use,
and UXP provides qualitative data to help give meaning to the quantitative.

- Fred
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