I honestly think that this is incorrect. If one read studies like: “A mathematical model of the finding of usability problems” and other similar literature like “Stochastic Processes” – one will see that a very limited number of users have a high impact in most user tests, whether that be for better usability and or specifically for increased conversion; which by the way typically is the result of increased usability.
I thought it would be appropriate to extend that comment with a bit of visualization to back it up. :-)
Jacob Nielsen introduced a model some time ago saying:
N(1-(1-L) to the power n)
- N is the total number of usability problems in the given design
- L is the proportion of problems discovered testing 1 user (he also guides about a typical value of L at 31% based on their studies)
(File: percentage-of-problems-found-with-n-users.xls)
Using and X Y scatter chart we will get a graph that by some means concludes, first of all the diminishing value of users beyond eight users in a test and in particular that adding more than ten users to a test is very hard to justify.
Thus I think we confidently can say that one WILL discover (learn) most problems by using only 5-8 users. This is of course based upon the fact that we believe in Jacob’s Model. I do! (being Danish and all.. :-)