A dendrogram is a tree-shaped diagram that shows how items cluster together based on card sorting results. It's one of the most useful visualizations for analyzing card sort data.
How to Read It
- Items at the bottom are individual cards
- Branches connect cards grouped together
- Height of branches shows agreement strength
- Cards grouped early (low) = strong agreement
- Cards grouped late (high) = weak agreement
What It Reveals
Strong clusters: Cards that belong together
- Short distance between merge points
- Most participants grouped these
- Natural categories emerging
Weak relationships: Cards with unclear homes
- Long distance before merging
- Participants disagreed on grouping
- May need reconsideration
Example Interpretation
If "Login" and "Sign Up" merge early (low on tree):
→ Most participants grouped these together
→ Strong candidate for an "Account" category
If "Help" merges late (high on tree):
→ Participants put it in different places
→ May need its own global navigation spot
Using Dendrograms
- Identify natural groups: Look for early merges
- Find outliers: Items merging late may not fit
- Determine category count: Cut the tree at different heights
- Validate category names: Use participant labels for clusters
Limitations
- Doesn't show category names participants used
- Can be hard to read with 50+ items
- Doesn't reveal why participants grouped items
- Best combined with other analyses
Free Card Sort automatically generates dendrograms for your studies - no manual analysis needed!