Automated Key Driver Analysis

Key Driver Analysis is used to determine how important various drivers (e.g. features, characteristics) are to an outcome, such as brand liking or purchase intention, to prioritize levers for improving that outcome. Typical areas of application include studies on brands, product concepts, or customer satisfaction.

quantilope's KDA is fully automated, allowing users to drag and drop the method into their survey, customize however needed, and watch results update in real-time. 


Benefits of quantilope's automated Key Driver Analysis: 

  • Statistically sound results with the click of a button
  • Flexibility to choose multiple outcomes and drivers
  • Easy to understand visualizations with clear recommendations for action

Applications of quantilope's automated Key Driver Analysis

What levers are most effective for improving customer satisfaction?

The most effective drivers of the supermarket's customer satisfaction are 'credibility', 'quality', and 'tradition'.

What product features will allow me to increase the willingness to buy?

'Automatic categorization of expenses,' 'Login via Face-ID,' and 'Money transfer' are the most important features impacting purchase intent.

Additional automated methods

Total Unduplicated Reach and Frequency (TURF)

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Penalty Reward Analysis (Kano Factors)

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Maximum Difference Scaling (MaxDiff)

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Request an Automated Key Driver Analysis