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Key Driver Analysis
Key Driver Analysis (KDA) is employed to ascertain the significance of different drivers (e.g., features, attributes) on an outcome, such as brand affinity or purchase intent, to prioritize actions for enhancing that outcome. Common applications encompass research on brands, product concepts, or customer satisfaction.
Benefits of Key Driver Analysis:- Obtain statistically robust outcomes instantly
- Option to select numerous outcomes and drivers
- Clear and comprehensible visual representations with actionable recommendations
Applications of Key Driver Analysis
Which factors have the greatest impact on enhancing customer satisfaction?
The primary drivers of satisfaction for the supermarket are 'credibility,' 'quality,' and 'tradition.'
Which attributes of the product can I leverage to boost purchase intent?
The critical features influencing purchase intent include 'automatic expense categorization,' 'Face-ID login,' and 'money transfer.'
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