Tags are infrastructure, not labels

Tags are often the first thing teams stop using when they get busy. They feel optional because the conversation can be resolved without them. But every report, every weekly review, and every product feedback session depends on tags being applied consistently. When tagging breaks, analytics quietly breaks with it.

Why tagging usually fails

• The list of tags grows faster than the team can remember, so people default to the most familiar ones.
• Two tags mean almost the same thing, and different agents pick different ones for the same issue.
• Nobody owns the taxonomy, so cleanup never happens and the list keeps drifting.

Treat tags like a small product

The teams that get long-term value from tagging treat the tag list like a product surface. Someone owns it. There is a clear rule for adding a new one. Tags get retired when they stop being used. The goal is not coverage. The goal is that any tag, picked at random, can be explained in one sentence by anyone on the team.

1. Start with a short, opinionated list. Twelve tags that everyone understands is more valuable than forty that nobody uses the same way.
2. Separate operational tags from product-feedback tags. They serve different audiences and should evolve at different speeds.
3. Review the list once a month. Merge duplicates, retire dead tags, and write down what each surviving tag means.