- What's a good success rate on a tree test?
- How do you analyze a tree test?
- Is tree testing quantitative or qualitative?
What's a good success rate on a tree test?
65-80 - The tree is effective, but may need minor revisions. Our participants are finding the correct answer at least two-thirds of the time, so the tree is doing its job well, and only needs tweaking. 80+ - Either the tree is very good, or the tasks are too easy.
How do you analyze a tree test?
Typically, the metrics you can analyze for a tree test include success rate, directness, average time to complete a task, and the path taken by users. Once you ask your participants to go through the test, the tool will highlight which entries went down the correct path(s) and which didn't.
Is tree testing quantitative or qualitative?
It ventures into quantitative research territory and can generate a large amount of data. It is also usually conducted remotely and unmoderated, therefore lacks context to the data we collect. Before I used tree testing for the first time, I read a lot about it, but it was never quite the same as running one myself.