Penalty Reward Analysis (Kano Factors)

Penalty Reward Analysis (also known as Kano Factors) is used to investigate the type of relationship between an outcome and features used in a Key Driver Analysis. The goal is to understand how an increase or decrease in the performance of a driver will impact the outcome, allowing us to optimize actions for improving the outcome.

Benefits of quantilope's Penalty Reward Analysis:

Statistically sound results with the click of a button
Easy to understand visualizations with clear recommendations for action

Applications of quantilope's Penalty Reward Analysis

What characteristics are ‘must-haves’ for the use of a product?

'Automatic categorization' and 'money transfer' are must-haves for using the Banking App.

Are there features that customers do not expect but that would excite them?

Having an overview of 'all accounts at a glance' excites users, but the lack of this feature is not decisive for the intention to use the app.

Additional Methods

Total Unduplicated Reach and Frequency (TURF)

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Maximum difference scaling (MaxDiff)

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Key Driver Analysis

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