Zendesk Tags Analysis Guide
Tags are one of the most powerful—and most abused—features in Zendesk. Used well, they reveal issue patterns and drive improvements. Used poorly, they become noise. This guide covers how to analyze tags effectively.
Why tags matter
Tags let you:
- Categorize issues — Bug, billing, how-to, feature request.
- Track root causes — See root cause tagging.
- Segment metrics — FRT by tag, resolution time by tag, volume by tag.
- Trigger workflows — Route, escalate, or prioritize based on tags.
For definitions, see issue taxonomy.
Common tag problems
| Problem | Symptom | Fix |
|---|---|---|
| Too many tags | Hundreds of tags; most used once | Consolidate and sunset unused tags |
| Inconsistent tagging | Same issue gets different tags | Training + required fields |
| No tagging | Most tickets have no tags | Triggers or required fields |
| Tag sprawl | New tags added without governance | Tag approval process |
Setting up a tag taxonomy
A taxonomy is a structured set of tags. Example:
| Level | Examples |
|---|---|
| Issue type | bug, question, feature-request, how-to |
| Product area | billing, onboarding, integrations, core-product |
| Root cause | doc-gap, ux-issue, bug-backend, bug-frontend |
| Outcome | escalated, refunded, churned |
Keep it simple. 20–30 tags cover most teams.
How to analyze tags in Zendesk Explore
- Create a report — Use Support: Tickets dataset.
- Add tag dimension — “Ticket tags” (note: one ticket can have multiple tags).
- Add metrics — Count, avg FRT, avg resolution time, reopen rate.
- Filter — Created or solved date for your period.
Insights to look for:
- Volume by tag — Which issues are most common?
- Speed by tag — Which tags take longest to resolve?
- Quality by tag — Which tags have high reopen rate?
Tag trends over time
Static tag analysis shows current state. Trends show change.
- Rising tags — New issue emerging? Product change?
- Falling tags — Issue resolved? Feature shipped?
- Seasonal tags — Holiday-related tags spike predictably?
Chart tag volume by week or month to see trends.
Connecting tags to action
Tags are only useful if they drive action:
| Tag pattern | Action |
|---|---|
| “doc-gap” high volume | Improve documentation |
| “bug-checkout” rising | Alert engineering |
| “billing” high FRT | Staff billing queue |
| “how-to” high volume | Better onboarding |
Review top tags weekly in your ops review.
Tag hygiene best practices
- Limit who can create tags — Prevent sprawl.
- Required tagging — At least one tag before solve (via trigger or workflow).
- Quarterly cleanup — Archive tags with < 10 uses in 90 days.
- Naming convention —
type:bug,area:billing,cause:doc-gapkeeps things organized.
Advanced: Tag co-occurrence
Tag co-occurrence shows which tags appear together. Example: “bug” + “billing” appear together 30% of the time = billing has more bugs.
You can analyze this in Explore with ticket-level data or export to a spreadsheet.
FAQ
How many tags should a ticket have?
1–3 is typical. Zero is bad (no categorization). More than 5 is noisy.
Should tags be required?
Yes, if you’re serious about analytics. Make it easy for agents (dropdown, macro) and enforced (trigger or workflow).
How do I consolidate existing tags?
1. Export tickets with tags.
2. Map old tags to new taxonomy.
3. Bulk update via API or app.
4. Disable old tags.