Hicks Law CRO
Category: Marketing
What is Hick's Law?
Hick's Law is a psychological principle that states that the time required to make a decision increases logarithmically with the number of possible choices.
The formula of the law is: RT = a + b log₂(n)
- RT - reaction time (decision time)
- a - constant time, independent of the number of choices
- b - coefficient, specific to the task
- n - number of equally likely choices
- log₂(n) - binary logarithm of the number of choices
Key window for CRO:
More choices = Slower decision making = Higher probability of leaving
Application in CRO:
Navigation and menus
- Limiting the number of points in the main menu
- Grouping similar elements in categories
- Using mega menus for complex websites
- Prioritizing the most important options
Forms and payment processes
- Reducing the number of fields in forms
- Dividing long forms into several steps
- Eliminating unnecessary fields and choices
- Pre-filling possible information
Product pages and choice
- Limiting the number of products on a page
- Effective filters and sorting
- Clear categories and subcategories
- Recommendations and "best-selling" sections
Calls to action (CTA)
- Limiting the number of CTA buttons on a page
- Clear hierarchy of the importance of actions
- Eliminating conflicting or repetitive CTA
- Focusing on one main action on a page
Practical examples:
Good example: Simplified payment
Amazon's 1-Click ordering - one action instead of many steps and choices
Good example: Categorizing products
Best Buy groups products in clear categories with subcategories, instead of showing all products at once
Bad example: Too many CTA
Page with 10 different buttons “Buy now”, “Learn more”, “Download”, “Register” and etc. - this creates paralysis in decision making
Exceptions and nuances:
- Expert users can prefer more options
- Complex products may require more choices
- Known choices are processed faster
- When users know exactly what they want, more choices can be useful
Tips for application:
- Researching users - find out which options are most important for them
- Testing - A/B test different levels of complexity
- Progressive disclosure - show main options first, additional ones when needed
- Visual hierarchy - use size, color and position to order the choices
- Eliminating unnecessary - remove every option that is not absolutely necessary