TL;DR: GoodTime uses 'tags' as a powerful and fully customizable way for you to either expand or refine your interviewer or room search process. While GoodTime can be used without tags (by scheduling named interviewers) we recommend building out tags to increase the efficiency and scalability of your scheduling process.
The following video demonstrates the ways in which tags can be used within GoodTime. At a basic level, tags can be used to adjust team member settings and leveraged when pulling insight reports. In this video, we discuss the basics of tags and how to use them as filters to set business hours, load balance or pull a report on a particular team.
What are Tags?
Tags are a keyword/term that you assign to an interviewer or room. Tagging allows GoodTime to better understand the classification of your company and streamline the interview scheduling process
What are tag types?
Tag types are a way for you to organize your collection of tags to make them more searchable by you team.
How do I use tags?
There are a few different ways in which tags can help streamline your processes within GoodTime:
- Tags can be used to adjust team member settings in bulk,
- Tags can be used to view an insights report for a specific set of users or interviewers, and
- Tags can be used as part of your interview scheduling and template creation process to define the interviewer or room 'pool' that you want associated with the interview event you are scheduling.
Tags and Boolean Search Logic:
You are able to use Boolean search logic (AND, OR and NOT) together with the tags you create in order to refine or expand the 'pool' of tagged interviewers or rooms you wish to use when scheduling. Below are some examples of what Boolean searched would look like when used in conjunction with tags:
- AND - Represented by a green border that groups tags together. Used to narrow the tagged search. In the example below we are seeking an interviewer with BOTH the 'Sales' AND 'San Francisco' tags:
- OR - Represented by the green border separating tag groups. Used to broaden the tag search. In the example below we are seeking a 'Sales' interviewer in 'San Francisco' OR a 'Sales' interviewer in 'London'. Also of note, the GoodTime search algorithm will see these tag groups preferentially and will first search for a 'Sales' AND 'San Francisco' tagged interviewer before searching for a 'Sales' AND 'London' tagged interviewer.
#sales
- NOT - Represented in red, the NOT function will exclude specific tags from the search. In the example below we are seeing an interviewer who has a 'Sales' AND 'San Francisco' tag but is NOT tagged as a 'Hiring Manager'.
- Utilizing tags to set interviewer load balances allows GoodTime to evenly spread interviews across the team and reduce interviewer burnout which can negatively impact candidate experience
- Tags allow for you to filter and pull data from the GoodTime insight tab based on specific user or interviewer groups. This can allow for deeper analysis of which interviewers, departments or interview styles are your most or least efficient.
- Ex: Adding in a department level tag can showcase interviewer behavior such as acceptances or declines
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