MaxDiff scaling is a method for obtaining preference or importance scores for multiple items like brand preferences or product features. It involves respondents choosing the most and least important items from sets, allowing direct trade-offs. This provides ratio-level data that is easy to interpret on a common 0-100 scale. The method has advantages over rating scales in discriminating between items and avoiding scale bias. Case studies demonstrated its use for testing feature benefits and preferences for a technology company's product line extension.