E-commerce Navigation Tree Test Template
Before you redesign your store's navigation — or after you've designed a new one — tree testing tells you whether shoppers can actually find products. This free template includes a complete navigation hierarchy, 8 ready-to-use tasks, and benchmarks so you can run a tree test on your e-commerce site in under 15 minutes.
Why Tree Test E-commerce Navigation
For e-commerce sites, navigation is the conversion path. Shoppers who can't find products don't buy them.
Tree testing reveals:
- Whether your category names match shopper mental models
- Where shoppers get lost (success rate per task)
- How directly they navigate (directness score)
- Which categories are confusing or redundant
Run a tree test:
- After a card sort, to validate the categories you chose
- Before a navigation redesign, to baseline current performance
- After a redesign, to confirm it actually improved findability
- When you launch a new product line that doesn't fit existing categories
Template Overview
What's Included
- Sample navigation tree (5 top-level + 25 sub-categories)
- 8 task scenarios covering shopping, account, and support flows
- Success rate benchmarks by task type
- Adaptation guide for your store's specific catalog
Recommended study type: Tree test on your live or proposed navigation Suggested participants: 30-50 (online shoppers in your target market) Time to complete: 8-10 minutes per participant Analysis time: 1-2 hours
The Template: E-commerce Navigation Tree
Sample Tree Structure
Use this as a starting point and replace category names with yours.
Home
├── Women
│ ├── Clothing
│ │ ├── Tops
│ │ ├── Dresses
│ │ ├── Pants & Jeans
│ │ ├── Activewear
│ │ └── Outerwear
│ ├── Shoes
│ ├── Accessories
│ └── Sale
├── Men
│ ├── Clothing
│ │ ├── Shirts
│ │ ├── Pants & Jeans
│ │ ├── Activewear
│ │ └── Outerwear
│ ├── Shoes
│ ├── Accessories
│ └── Sale
├── Kids
│ ├── Girls
│ ├── Boys
│ ├── Baby
│ └── Toys & Gifts
├── Home & Living
│ ├── Bedding
│ ├── Bath
│ ├── Decor
│ └── Kitchen
├── New Arrivals
└── My Account
├── Orders
├── Returns
├── Wishlist
├── Saved Addresses
└── Payment Methods
The 8 Tasks
These tasks span the most common e-commerce flows. Adapt the wording to match your products.
Task 1: Find a Specific Product Type
"You're looking for a pair of running shoes for yourself. Where would you go?"
Expected path: Women/Men → Shoes (or Activewear → Shoes) Success rate benchmark: 75-85%
Task 2: Navigate Sale/Discount Flow
"You want to see what's on sale in women's clothing. Where would you go?"
Expected path: Women → Sale, OR Women → Clothing → Sale Success rate benchmark: 60-75% (sale routing is often unclear)
Task 3: Find a Category-Adjacent Item
"You need a new comforter for your bed. Where would you find it?"
Expected path: Home & Living → Bedding Success rate benchmark: 80-90%
Task 4: Locate a Recent Order
"You ordered something last week and want to check where it is. Where would you go?"
Expected path: My Account → Orders Success rate benchmark: 85-95% (this should be very findable)
Task 5: Start a Return
"An item arrived damaged and you want to return it. Where would you go?"
Expected path: My Account → Returns (or Orders → specific order → Return) Success rate benchmark: 70-80%
Task 6: Cross-Category Item
"You want to buy a gift for a 2-year-old niece. Where would you start?"
Expected path: Kids → Toys & Gifts (or Kids → Baby) Success rate benchmark: 65-80% (depends on age clarity)
Task 7: New-User Discovery
"You just landed on the site and want to see what's new this season. Where would you click first?"
Expected path: New Arrivals Success rate benchmark: 80-90%
Task 8: Update Personal Info
"You moved last month and need to update your shipping address. Where would you go?"
Expected path: My Account → Saved Addresses Success rate benchmark: 75-85%
How to Run This Template
- Sign up free at validatethat.io
- Create a tree test from your dashboard
- Paste the tree above (the tool accepts indented text)
- Add the 8 tasks as task scenarios
- Recruit participants — your customer list, social media, or paid panels
- Share the participant link — no participant accounts needed
- Watch results in real time
A typical e-commerce tree test reaches statistical significance with 30-50 participants and finishes in 3-5 days.
Interpreting Your Results
Success Rate
Percentage of participants who reached the correct destination.
- Above 80%: Strong category placement
- 60-80%: Acceptable, but worth investigating with follow-up questions
- Below 60%: Category needs renaming or restructuring
Directness Score
Percentage of participants who navigated directly (no backtracking).
- Above 70%: Clear path
- 50-70%: Some hesitation; participants explored before committing
- Below 50%: The path is genuinely unclear; users are guessing
First Click
Where participants clicked first. If this differs from the correct destination, your top-level navigation labels are misleading.
Common E-commerce Tree-Testing Pitfalls
1. Testing Too Much at Once
Don't include 50 categories and 20 tasks. Cap at 30 categories and 8 tasks. More than that and participants drop off.
2. Using Internal Jargon
If your dropdown says "Outerwear & Layering Pieces" but customers say "Jackets," your success rate will tank. Use the language from your actual customer base — pull it from search logs or support tickets.
3. Ignoring the Account/Support Section
Most teams test the shopping flow but skip account management. Returns and order tracking are some of the most frequent navigation moments — and the most frequently broken.
4. Forgetting Mobile Differences
Tree tests are typically text-based, but desktop and mobile navigation often differ. Consider running two tree tests: one for each.
5. Skipping Comparisons
If you're redesigning, run the tree test on BOTH the old and new structures. Without baseline data, you can't prove the redesign worked.
Adapting for Your Store
Fashion / Apparel
- Top-level by gender, then by category
- Include Sale and New Arrivals as siblings to gendered sections
- Test how shoppers find activewear (often dual-categorized)
Electronics
- Top-level by product type (TVs, Computers, etc.)
- Include "Brand" as a cross-cutting category
- Test how shoppers find accessories (cables, cases, etc.)
Home Goods
- Top-level by room (Kitchen, Bedroom, Living Room)
- Or by product type (Furniture, Decor, Bedding)
- Test which model your customers prefer with two parallel tree tests
Marketplace (multi-vendor)
- Add "Shop by Brand" or "Shop by Seller" as a sibling
- Test whether shoppers prefer category-first or seller-first paths
What Comes Next
After your tree test:
- Identify failing tasks (success rate < 60%)
- Look at first-click data — wrong first clicks signal label problems
- Iterate on the tree — rename, regroup, or relocate the problem categories
- Re-test the new structure — usually a smaller sample (20-30 participants) is enough to confirm the fix
- Validate live with real shoppers via on-site analytics once deployed
Get Started
Run this tree test on your store today. Start free on ValidateThat — no credit card, no Enterprise contract, no sales call.
For more information architecture validation, see our card sorting templates or read the tree testing guide.