Is a Uniform Tagging Taxonomy Worth the Effort in Dovetail?

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I've been getting questions from my team about the importance of tagging taxonomies in Dovetail with the recent enhancements of contextual chat, magic insights, and other Dovetail AI capabilities. We've been attempting to create a global taxonomy. We have a lot of different tagging approaches, but I wonder if setting up a uniform tagging taxonomy is still worth the time? Thoughts?

3 comments

Emi F.
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I've been thinking about this too. I still use the taxonomy because it's an extremely useful fallback when ai fails (which it does sometimes) - as your repository grows, search is also more likely to have a hard time querying everything that exists. I use tags to narrow things down sometimes (ie I want to ask more nuanced questions of data that I know lives in a certain topic tag)
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Karolina Kowalczyk
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In our case (B2B research, AI doesn't work at all, so tags are extremely important)
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Fatima K.
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Our product is highly technical and built for the B2B space. At this stage, AI tagging doesn’t align with our needs, so we’re continuing with our old-school approach for now. That said, I recommend testing it on a few research projects to see if it fits your workflows.
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