As mentioned earlier, you may want to control who gets to do your study (and who doesn’t).

The easiest case is that you’re happy to get results from anyone who visits the site (in the case of web ads) or anyone you’ve emailed (presuming that being on the email list is enough qualification in itself).

However, there will be times when you want to be picky – when you a particular subset of users (or don’t want them).

For example, if you’re testing a site structure for a bank’s online banking service, you probably want online-banking users. More specifically, you may want to exclude bank customers who have never used online banking and never intend to, since their answers would be irrelevant and could actually skew the results.

 

Screening by filtering a database

If you’re recruiting using a customer database, you may be able to filter the users down to those who have logged into online banking, say, once a month or more. That may be enough “screening” for you, so you can go ahead and run your study without more qualifying questions.

 

Screening using separate email lists

If you have email lists that are already separated into groups that meet your specifications (e.g. business customers vs. consumers), then the job is easy – you invite people from the appropriate list to the corresponding study.

However, because email invitations can get forwarded (beyond your control), you may still want to include a screening survey question in your tree test, just to make sure you’re getting the participants you intended.

 

Screening with explicit questions

But what if you’re using a web ad (which every site visitor sees) or you have a customer email list that doesn’t include enough data to filter the users the way you want? In these cases, you’ll need to explicitly ask each interested person if they meet your specifications.

There are several ways to do this screening:

 


Next: Restricting access with a password