@dana
>
> Just get a mix of participants who do and are motivated to do what you're
> interested in observing.
>
agree.....

If one or two participants in your mix have the issue, you want to fix that
> because you don't want *anyone* to have it.
>
Totally agree in the ideal world all issues should be fixed. With
Webnographer some of our clients are so overwhelmed by a long list of issue,
what they are wanting is prioritisation of issues. Many times there is a
very long list of usability issues that have been waiting for years in
some cases. By being able to say X% of users experienced this issue starts
helping the solution to be prioritised, and fixed. Often there is an
argument between one camp and another camp if a usability issue is real or
not.

Prioritisation it seams is very important to Agile operations.

James
http://blog.feralabs.com

2009/3/12 Dana Chisnell <[email protected]>

>
> Ah, I meant with regard to age. If the sample is 8, say, in 99.9% of cases,
> age won't matter. Just get a mix of participants who do and are motivated to
> do what you're interested in observing.
> If you're testing 30 or 50 or 100 participants, you might want to pay
> attention to make sure you have participants from all the age ranges you
> care about, but you shouldn't be selecting or screening on age as long as
> they do and are motivated to do the same kinds of tasks with your designs.
>
> Most demographics don't matter in usability testing, most of the time. (Of
> course, there are exceptions.) Why? Because the purpose of usability testing
> is not to generalize preferences to a larger audience but instead to
> identify problems with a design that cause frustration and confusion. If one
> or two participants in your mix have the issue, you want to fix that because
> you don't want *anyone* to have it.
>
> Dana
>
>
> On Mar 12, 2009, at 10:21 AM, James Page wrote:
>
> @dana
> I am bit confused here by your question "What difference does it make how
> many you're testing?"
> Surely factors such as "margin of error", and "statistical power"
>  are important, or are they not?
>
> The point of testing is to find out if your wrong, or right. How do you
> know if your wrong or right based on a small sample.
>
> @jenrandolph
> On remote usability testing we get more behavioural differences by machine
> configuration, then by age. What I mean by machine configuration is
> manufacture and screen size. Mac users are different, why - I don't know.
> And we get allot of behavioural differences by culture - (place of birth vs
> residence).  Also environment seams to have quite a large impact. People in
> the lab, and at home spend more time to trying to complete a task before
> giving up, then people at work. This is of course impacts success/failure
> rates.
>
> We are doing more research here.
>
> James
> http://blog.feralabs.com
>
>
> 2009/3/12 Dana Chisnell <[email protected]>
>
>>
>> What difference does it make how many you're testing? By breaking the
>> sample into groups, you're just creating extra work. Are you going to
>> compare the data by age group? Why would you do that? The only reason I can
>> think of is if you're creating different sites. You're not.
>> Dana
>>
>>
>>
>> On Mar 12, 2009, at 9:21 AM, James Page wrote:
>>
>> Out of interest how many participants are you testing with? Could
>> you break the numbers down?
>> James
>> http://blog.feralabs.com
>>
>> 2009/3/12 Dana Chisnell <[email protected]>
>>
>>>
>>> Thanks for the prompt, Jared.  There's no reason to limit the age range
>>> *at all.* As long as the behaviors are the same -- that is, the task goals
>>> of the users -- across age ranges, then it doesn't matter a bit how old the
>>> participants are.
>>>
>>>  As members of UPA, people over 65 would very likely have the same tasks
>>> and goals in mind as someone younger: Maintain membership information, renew
>>> memberships, find out what's going on in the association, get in the
>>> consulting directory, find out who is on the board, find out where the
>>> conference is, etc.
>>>
>>>  Limiting the age range wouldn't benefit the research. In fact, limiting
>>> may be a detriment.
>>>
>>> Dana
>>>
>>> :: :: :: :: :: :: :: :: :: :: :: :: :: :: :: :: :: :: :: :: :: :: :: ::
>>> :: :: ::
>>> Dana Chisnell
>>> desk: 415.392.0776
>>> mobile: 415.519.1148
>>>
>>> dana AT usabilityworks DOT net
>>>
>>> www.usabilityworks.net
>>> http://usabilitytestinghowto.blogspot.com/
>>>
>>>
>>> On Mar 12, 2009, at 12:04 AM, Jared Spool wrote:
>>>
>>>  So? Why limit the age range? How does that benefit the research?
>>>>
>>>> On Mar 11, 2009, at 10:20 PM, Todd Zaki Warfel wrote:
>>>>
>>>>  Perhaps because the core audience isn't older than 65? Not to say that
>>>>> there aren't any, but I'd imagine, based on the meetings and conferences
>>>>> that I've been to, that the number of people over 65 are statistically 
>>>>> quite
>>>>> small.
>>>>>
>>>>> On Mar 11, 2009, at 11:54 AM, Dana Chisnell wrote:
>>>>>
>>>>>  May I ask why the age range limits to 65?
>>>>>>
>>>>>
>>>>
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>>
>>
>>
>
>
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