Examples: query, "exact match", wildcard*, wild?ard, wild*rd
Fuzzy search: cake~ (finds cakes, bake)
Term boost: "red velvet"^4, chocolate^2
Field grouping: tags:(+work -"fun-stuff")
Escape special characters +-&|!(){}[]^"~*?:\ - e.g. \+ \* \!
Range search: properties.timestamp:[1587729413488 TO *] (inclusive), properties.title:{A TO Z}(excluding A and Z)
Combinations: chocolate AND vanilla, chocolate OR vanilla, (chocolate OR vanilla) NOT "vanilla pudding"
Field search: properties.title:"The Title" AND text
Back to post

Revisions 2

11 months ago
Scoold report on areas of expertise
Scoold report on areas of expertise
If I were to run a Pro version of Scoold for my organisation, is there a way of reporting on all users and the number and score of the answers that they have provided, categorised by Tag? Something like this: Users: - Anne Appleby: Java: 105 Kotlin: 84 SQL: 21 - Ben Bullet: CI/CD Pipelines: 72 AWS EC2: 34 ... This would be a way for us to identify which users are experts in particular areas of knowledge.
If I were to run a Pro version of Scoold for my organisation, is there a way of reporting on all users and the number and score of the answers that they have provided, categorised by Tag? Something like this: Users: - Anne Appleby: Java: 105 Kotlin: 84 SQL: 21 - Ben Bullet: CI/CD Pipelines: 72 AWS EC2: 34 ... This would be a way for us to identify which users are experts in particular areas of knowledge.
#report #scoold #tags
#
11 months ago
Original
Scoold report on areas of expertise

If I were to run a Pro version of Scoold for my organisation, is there a way of reporting on all users and the number and score of the answers that they have provided, categorised by Tag? Something like this: Users: - Anne Appleby: Java: 105 Kotlin: 84 SQL: 21 - Ben Bullet: CI/CD Pipelines: 72 AWS EC2: 34 ... This would be a way for us to identify which users are experts in particular areas of knowledge.
#