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# Taxonomy and Classification
Organizing content with taxonomies enables filtering, navigation, and content relationships. Well-designed taxonomies scale; poorly designed ones become maintenance nightmares.
## Types of Classification
### Flat Taxonomy
Simple list of terms with no hierarchy.
**Use for:** Tags, simple categories
**Example:** Blog tags: "javascript", "react", "tutorial"
```typescript
defineType({
name: 'tag',
type: 'document',
fields: [
defineField({ name: 'title', type: 'string' }),
defineField({ name: 'slug', type: 'slug' }),
]
})
```
### Hierarchical Taxonomy
Terms with parent-child relationships.
**Use for:** Product categories, content sections
**Example:** Electronics > Phones > Smartphones
```typescript
defineType({
name: 'category',
type: 'document',
fields: [
defineField({ name: 'title', type: 'string' }),
defineField({ name: 'slug', type: 'slug' }),
defineField({
name: 'parent',
type: 'reference',
to: [{ type: 'category' }],
description: 'Parent category (leave empty for top-level)'
}),
]
})
```
### Faceted Classification
Multiple independent dimensions.
**Use for:** Complex filtering (e-commerce)
**Example:** Filter by color AND size AND price range
```typescript
// Multiple taxonomy types
defineField({ name: 'color', type: 'reference', to: [{ type: 'color' }] })
defineField({ name: 'size', type: 'reference', to: [{ type: 'size' }] })
defineField({ name: 'material', type: 'reference', to: [{ type: 'material' }] })
```
## Design Principles
### 1. Mutual Exclusivity (When Appropriate)
Categories should be distinct. If items frequently belong to multiple categories, consider tags instead.
**Categories:** One primary classification
**Tags:** Many optional classifications
### 2. User-Centric Naming
Use terms your audience uses, not internal jargon.
**Bad:** "Content Assets" (internal term)
**Good:** "Resources" or "Downloads" (user term)
### 3. Balanced Depth
Too shallow: Everything lumped together
Too deep: Users can't find anything
**Rule of thumb:** 3-4 levels max for hierarchies
### 4. Scalable Structure
Design for 10x growth. Will your structure work with 10,000 items?
## Querying Taxonomies
### Get all items in a category
```groq
*[_type == "product" && category._ref == $categoryId]
```
### Get items in category OR children
```groq
// First get all descendant category IDs
*[_type == "product" && category._ref in
*[_type == "category" && (
_id == $categoryId ||
parent._ref == $categoryId ||
parent->parent._ref == $categoryId
)]._id
]
```
### Get category tree
```groq
*[_type == "category" && !defined(parent)]{
title,
slug,
"children": *[_type == "category" && parent._ref == ^._id]{
title,
slug,
"children": *[_type == "category" && parent._ref == ^._id]{
title,
slug
}
}
}
```
## Common Mistakes
### Over-categorization
Creating a category for everything results in mostly-empty categories.
**Fix:** Start minimal, add categories as content grows.
### Inconsistent Granularity
Some categories broad ("Technology"), others narrow ("React 18 Server Components").
**Fix:** Define clear criteria for category creation.
### No Governance
Anyone can create taxonomy terms, leading to duplicates and inconsistency.
**Fix:** Limit who can create/edit taxonomy documents. Use validation.