Title: Research Methods and Usability Guidelines for Ecommerce Web Sites
1Research Methods and Usability Guidelines for
Ecommerce Web Sites
- Mary Czerwinski
- Microsoft Research
- Note Many of these slides came from a Keynote
address by Kirsten Risden at Web99
2Key ecommerce ingredients
- Most sources agreed that
- navigation
- clear content organization
- product information availability
- trust
- Extras
- personalized services and/or
- providing updated content or activities.
3Building trust
- Building Trust What It Takes
- A clearly stated return policy
- A clearly stated security/encryption policy and
seals of approval from authoritative
organizations - The ability to back out of a transaction
- Fast and easy navigation
- Source eCommerce Trust Study, Cheskin Research
and Studio Archetype/Sapient, January 1999
4From browsers to buyers.
- Seth Gordon recommends
- Make Buyers Feel Comfortable good content and a
personality - Get Users to the Goods make the products easy to
find and educate along the way - Make It Easy to Complete a Purchase no
roadblocks in your checkout tunnel - Build Buyer Loyalty deliver on your promise and
give reasons to return - From Builder.com Design section, January 25, 2000.
5Serco ecommerce guidelines
- Make it easy for users to enter the store
- Use a meaningful store layout and product
categories - Ensure descriptive terms or pictures are used
- Allow users to find and use search facilities
6Serco ecommerce guidelines
- Provide meaningful and relevant search results
- Make it clear whether items are available in the
on-line store - Allow users to see what's in their shopping
basket - Provide sufficient product information and
explain technical terms - Clearly flag the financial security features of
the site
7How do we get there? Information Structure
- Site organization should reflect users
conceptual categorization of content - Can be very different from designers
categorization of content - Derived empirically
- Card Sort
- Need lt 200 distinct information types
- Find Task (a.k.a. reverse card sort)
- If gt 200 distinct information types
8Card Sort Study
Cluster Analysis
9Find Study (a.k.a. Reverse Cart Sort)
- If more than 200 items, make initial design
prototype.(s) - Record user paths through browse hierarchy of
ecommerce site - Map out confusability
- Determine where problems are and why
10Find Study
11Reckless redundancy reduces learnability
12Information structure take-aways
- For ease in finding information, ecommerce site
organization must - fit users conceptual categorization
- be easy to learn
13Presentation
- Support and guide scan and focus visual
processing through design - Layout and graphical design
- Labels
- Text
14Layout and Graphical Design
- Use mostly text and avoid pictures
- Provide landmarks
- Use simple configurations
- Use blocking appropriately
- Dont break configurations up
- Make high contrast choices
- Avoid animations
15Use Text and Avoid Pictures
16At least . . .keep navigation elements away from
graphics
17Use clean, simple configurations
18Use blocking appropriately
19Use High Contrast Colors
Avoid animations.
20Labels
- Use distinctive, differentiating terms
- Concrete terms are more attractive than
abstract terms - Put supporting detail in tool tips or look
ahead text - Asking users to generate labels is highly
instructive
21Use tool tips or look ahead text
22User generated labels
- For groupings in card sort
- For content
- For subordinate categories
23Delivery
- Performance
- First page download should be lt 10 seconds on
28.8. - Secondary pages can be somewhat slower to
download. - Resolution
- 60 of Media Metrix sample using 6X4
- Number is changing slowly.
24Key Take-aways
- Match users conception of how ecommerce domain
is organized. - Remember that you are supporting a scan and focus
approach to visual information processing. - Words can be worth thousands of pictures.
- There is a high bar with little room to error
when it comes to performance.