Choice overload is the phenomenon in which presenting too many options leads to decision paralysis, reduced satisfaction with whatever is chosen, and increased likelihood of abandoning the choice altogether. It contradicts the intuitive view that more options are always better for consumers.
The most famous demonstration is Sheena Iyengar and Mark Lepper's "jam study" (2000). In a supermarket, shoppers who were shown 24 varieties of jam were less likely to purchase than shoppers shown only 6 varieties. The larger assortment attracted more browsers but fewer buyers.
The mechanism involves cognitive load: evaluating many options exceeds working memory capacity, and the prospect of evaluating them is so aversive that people avoid deciding at all. After deciding, "regret aversion" increases: with many alternatives, the chooser wonders whether an unchosen option would have been better.
Design responses:
- Limit the effective choice set through filters, categories, or progressive disclosure
- Provide recommendations that reduce the choice to a manageable few
- Use defaults to remove the burden of choosing entirely when appropriate
- Organise hierarchically so users narrow down before picking
- Highlight popular or recommended options to offer a pre-satisficed choice
Netflix's recommendation system is, in part, a response to choice overload: faced with thousands of titles, users often browse without watching. The algorithm reduces the effective choice set to a few personalised suggestions.
Related terms: Hick's Law, Satisficing, Cognitive Load, Progressive Disclosure
Discussed in:
- Chapter 4: Attention and Decision-Making — Decision-Making and Cognitive Biases
Also defined in: Textbook of Usability