Sort recommendation features by Kano
Use Kano categories to evaluate AI recommendation features before optimization.
Sort these AI recommendation behaviors into Kano categories. Must-be basic Performance driver Delighter Reverse risk Never recommend products that are out of stock in the shopper's region Avoid duplicate products in the same recommendation module Rank products higher when the shopper's size is available Balance relevance with margin without raising returns Offer an opt-in outfit builder that completes the look for an event Remind a customer to restock a consumable at the right time Infer a sensitive life event and show explicit product bundles Use aggressive scarcity messages based on private browsing behavior
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