I am pitching for a job that requires validation of the information architecture of a very large health and social care website of around 6500 pages.
Here is my approach:
- Analyse existing research: the domain is health and social care - I have no doubt there will be a wealth of research data for various demographics that will inform what sections are particularly important
- Narrow focus for testing: 6500 pages is impossible but, in light of research from phase 1, we can narrow the focus to x key sections
- Perform card sort with x users to build prototypical IA
- (Retest - optional)
Concerns: the site is aimed at a very broad demographic. To do the card sort properly will require many users to yield anything statistically significant but the client has limited budget so this may not be possible.
So here is the question:
For a large and complex information architecture, with many different types of users, how does one validate the IA without skewing the data because of small sample size? Are there any cheap, large scale crowd-sourced techniques you know?