**Story:** As a PM/UX Designer we want to know if a new feature performs better/worse/different than an old one.
**Context:** We need the metrics to evaluate the search algorithm that suggests the items suggested in the item suggestor
**TODO**: For the old and the new item suggester implement the following:
* Which algorithm the person used (newSearch vs. oldSearch)
* Track the time between rendering the list on the users screen and the first click/selection on an item in the list ("Time-to-First-Click")
* Track the position in the item list of the first click/selection. So if the first entry is clicked, the value is 1, if the2nd entry is clicked, it is 2.
The generated data should look like this:
|**Group** | **Time to first click** | **Entry Clicked**
| [stringID] | [float as //milliseconds//] | [integer 1 until up to length of ist]
//please link the parent issue!//
//metrics are taken from a list of possible metrics provided via mail by the WMF's discovery team//