Many thanks to everyone, that's all really useful advice.
- I suspected it was a bit of a how long is a piece of string?
question(!), but at least now I know I'm heading in the right
direction. :)
I'll let you know how it goes!
Regards
. . . . . . . . . . . . . . . . . . . . . . . . . . . .
Steve said:
If you know that you have a user segment that is relatively scarce,
but important for you to capture - like your executive team, for
example - you should be certain to include a representative of this
group in your studies. Essentially you're adopting a stratified
sampling technique
Hello Elizabeth,
I probably may not be a complete expert on things but this is how i
would approach your problem. I would map every minute detail of the
process involved. Once having done that, i would then want to
understand the internal social fabric that would affect daily work
and find places
A statistical approach: you are comparing two conditions (old system
vs. new system) and have an idea about the direction of the effect
(the new system is more efficient, resulting in faster times).
Can you make an estimate of the expected difference between the two
conditions? What is the
- apologies for posting this in the wrong place the other day, was trying to
do things in a hurry :-(
Hello,
I have to do a proposal including timings for a solution in which there will
be 300 end users of a new system aimed at improving efficiency in the work
place by using technology where
On Jul 14, 2008, at 2:58 AM, Elizabeth Parham wrote:
I have to do a proposal including timings for a solution in which
there will
be 300 end users of a new system aimed at improving efficiency in
the work
place by using technology where before things were done on paper or
over the
phone.
Jakob Nielsen has some guidelines regarding number of users for
usability test, and I guess they apply to field studies as well.
http://www.useit.com/alertbox/2319.html
http://www.useit.com/alertbox/quantitative_testing.html
Personally, I think the statistical significance is rather
Jared is correct in saying that you don't have all of the information
necessary to calculate how many people you should interview, but I would put
forward one caution about the approach proposed by Jared:
If you know that you have a user segment that is relatively scarce, but
important for you to
