"How many roads must a man walk down, before you can call him a man?" - Bob Dylan
- overview
- check webinar slides
- import stuff from UXNZ 2013 slides, OE wiki
- terms - heading vs. topic
- provide a basic list of analysis steps, then some additional ones to pull out when needed?
This is what we've been waiting for - actual results from actual users. Now, we just need to figure out what the data means.
Luckily, the basic results from tree tests are usually easy to understand - easier, say, than a typical open card sort. And if we're using tree-testing software, the results have already been summarized and visualized, ready for us to discover how well our tree(s) performed.
Cleaning the data
- summary text here
Backing up raw data, removing garbage, updating correct answers
Sharing the data
- summary text here
Publishing via the tool, sharing logins, uploading results to the cloud
Reviewing overall results
- summary text here
Overall success rate, directness, speed, and overall score
Analyzing by task
- summary text here
Where they went, clicked first, backtracked, slowed down, gave up, etc.
Analyzing by branches
- summary text here
Looking for clusters of right and wrong answers
Analyzing by user group or other criteria
- summary text here
Filtering results using survey questions, and comparing them
Discovering evil attractors
- summary text here
What they are, how to spot, why they happen, how to get rid of them