Journal of Marketing Research · 2005 · 682 citations · 27 references
Software MaintenanceCustomer SatisfactionEngineeringDigital MarketingConsumer ResearchSoftware EngineeringGood ThingProduct ManagementProduct ExperienceManagementConsumer BehaviorNew Product DevelopmentUser PerceptionProduct Design (Industrial Design)Consumer Decision MakingFeature FatigueEnd-of-life ProductUser ExperienceProduct QualityTechnology AdvancesCustomer Lifetime ValueMarketingSoftware DesignConsumer-driven Product DevelopmentInteractive MarketingBusinessImproved Product QualityBusiness StrategyProduct Design (Motion Graphics)TechnologyBecome Too MuchFeature Fatigue Effect
Technology enables products to carry many features, but excessive features can overwhelm consumers and hinder usability. The authors conduct three studies to examine how consumers balance capability and usability when evaluating products and how these preferences shift over time. The studies reveal that consumers prioritize capability over usability before use, leading to selection of overly complex products that reduce satisfaction and lifetime value; an analytical model shows that maximizing initial choice adds too many features, while increasing emphasis on future sales lowers the optimal feature count, suggesting firms should offer more specialized products with fewer features.
As technology advances, it becomes more feasible to load products with a large number of features, each of which individually might be perceived as useful. However, too many features can make a product overwhelming for consumers and difficult to use. Three studies examine how consumers balance their desires for capability and usability when they evaluate products and how these desires shift over time. Because consumers give more weight to capability and less weight to usability before use than after use, they tend to choose overly complex products that do not maximize their satisfaction when they use them, resulting in ”feature fatigue.” An analytical model based on these results provides additional insights into the feature fatigue effect. This model shows that choosing the number of features that maximizes initial choice results in the inclusion of too many features, potentially decreasing customer lifetime value. As the emphasis on future sales increases, the optimal number of features decreases. The results suggest that firms should consider having a larger number of more specialized products, each with a limited number of features, rather than loading all possible features into one product.
27
Journal of the American Dietetic Association · 1993 · 12.1K citations
Dimensions of Consumer Expertise
Joseph W. Alba, J. Wesley Hutchinson · Journal of Consumer Research · 1987 · 4.2K citations · Full text