Labs/Ubiquity/Usability/Usability Testing/UI Triangulation

UI Triangulation

UI triangulation has to do with making sure that usability issues are supported with good evidence as to their impact on users. This ensures that they receive earlier and higher priority in the overall development cycle and prioritize the bad ones.

This is generally done using data collection points such as Trac tickets, Get Satisfaction tickets, traditional usability testing, mailing group messages, and server statistics. Generally the analytics (server stats, volume of trac tickets, volume of GSFN complaints, % of usability testers, etc) are used to quantify the frequency of the problem. The raw data can also be used for severity (exit points on web sites, etc) but the content must be examined as well to determine how detrimental the issue is.

Rankings

Severity + Frequency + human factoring = Priority

Severity

S4 = Makes Ubiquity either inaccessible or broken
S3 = There is no S3!
S2 = Minor loss of data or deterrent to use
S1 = Annoyance

There is no S3 otherwise S2 + F1 = Major even though it is a minor problem effecting a small % of the population.

Frequency

F1 = 1-25%
F2 = 26%-50%
F3 = 51%-75%
F4 = 76%-100%

Priority

P6 = Blocker
P5 = Critical
P4 = Major
P3 = Minor
P2 = Trivial