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.
quantilope's Penalty Reward Analysis is fully automated, allowing users to drag and drop the method into their survey instantly and watch results in real-time.
Benefits of quantilope's automated Penalty Reward Analysis
Prioritizes features in five distinct categories
Safeguards investments by avoiding unnecessary features or attributes
Encourages innovative thinking by going beyond basic features
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.
“An ongoing challenge for insights professionals is to help executives turn insights into action. Automated methods...are the key to delivering insights that executives not only trust but offer clear recommendations for impact.”
-Chris Wardlaw, Global Research & Insights Director
