Search suggestions include complete recent searches that are similar to the search you are constructing.

Usage-based ranking (UBR)

Search suggestions are relevant to the data and personalized to your search behavior. ThoughtSpot learns over time what columns are most important to you and to your company as a whole. Then, it uses this knowledge to rank the search terms it offers. The term for this is usage-based ranking (UBR).

ThoughtSpot keeps usage statistics on frequency of search terms in its local cache. If you frequently use type terms related to finance or to a particular product, ThoughtSpot provides you with related suggestions more frequently. Using this information, frequently used terms and phrases are offered in search suggestions more often than those that are not commonly used.

UBR based on search patterns makes ThoughtSpot more valuable over time. Search suggestions become more helpful the more searches you complete.

Recent searches

As you type in the search bar, you are given search suggestions that include recent searches. This makes it easier to learn what you can do with ThoughtSpot. In addition to displaying your own recent searches, the search bar also learns from searches made by other people. This should provide you with interesting searches that you may not have been aware of. You can see recent searches in a separate section of search suggestions, as recent searches appear higher in suggestions than other terms.

Wrap up

You should now understand some of the core fundamentals of executing a search and how to navigate through some of the suggestions that are presented.