In order to test if it's worth trying a reverse field to display more and better suggestion here is a method based on Trey's idea to limit the test to only a subset of the data needed for the suggester to run.

The big picture is :

• Dump data from production (title and redirect)
• Build an elasticsearch index in lab
• Run a set of "phrase suggester" queries extracted from search logs against this index
• Count and measure the results

This task is marked as EPIC because it needs prior work :

• Add an option to filter a subset of fields to dumpIndex
• Write a small script that runs phrase suggester queries

If this task is validated I think it will be a nice method to test further enhancements we plan to make to "Did you mean" suggestions.