Feature Requests

For daily work on existing clusters, it would be helpful to have filter options on top of the lists, e.g. show only all popularity equal/smaller than 5. Also: the infinity scrolling makes it hard to find the right spot where one was working on the other day. sometimes it even has loading issues, meaning one can`t scroll down to popularity zero...

When you open a cluster, you could see, that there is a link for a redirect. But to see if the redirect is active, you have to scroll (depending on how many kpis you see) far to the right. It would help to see the redirect active / not active info on the left side.

The current solution shows the list of queries based on there whole performance. Sessions and Clicks that happened within the customers session. It would be helpful to see the clicks that actually happened in the Category that has been selected for exploration. For e.g. in category vine and spirits currently the top query is airconditioning. From the selected category this is not true. Because there where just a few clicks on the product of this category. This is misleading. The wrong conclusion could be that it would be helpful to place a teaser for vine and spirits in the categorypage. In oposite to that it should sort the queries by real clicks on products.

As a search manager I would like to edit or delete deployment before go live. Like that I don't need to wait for the deployment to edit mistakes. With multiple people working in searchhub, that can save a lot of time and adds convenience

As a Search manager I w.ant to be able to see who did which changes. This would make it a lot easier for me to know who to contact. We do quality assurance every day and control the deployment before we push the changes live. Sometimes there is an error in the changes which were made. And because there often are multiple people working on the same categories, it is difficult to know who to contact. In order to be able to save time, it would be really helpful to see the Name/Nickname/.. of the one who made the change inside the deployment.

If searchHub suggest at similar cluster (Fingerprint) a search term which don't fit together there should be a possibility to say no as at AI Training. For example for cluster "Reifen" searchHub suggests the similar cluster "frein" which doesn't fit together. At the moment this suggest is forever at the similar list. It would be nice to say that this similar suggest doesn't fit together and that searchHub learns about this decision for the futur - similar at the AI Training.