Diagnostic analysis (market research)

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Diagnostic analysis (market research)

Diagnostic analysis is a research approach used to identify the underlying causes or drivers behind a particular outcome, trend, or issue. While descriptive analysis focuses on what has happened, diagnostic analysis seeks to explain why it has happened by examining relationships between different variables and factors within the data.

In market research, diagnostic analysis is often used to investigate changes in customer satisfaction, brand perception, sales performance, or engagement levels. By exploring correlations, patterns, and underlying influences, researchers can determine which factors are contributing most strongly to a particular result.

For example, if customer satisfaction scores decline, diagnostic analysis may examine variables such as service quality, product availability, pricing, or staff interactions to identify the key drivers of dissatisfaction. This deeper understanding allows organisations to focus their improvement efforts on the areas that will have the greatest impact.

Diagnostic analysis may involve a range of analytical techniques, including cross-tabulation, regression analysis, driver analysis, and segmentation, depending on the complexity of the dataset and research objectives.

By uncovering the root causes behind research findings, diagnostic analysis helps organisations move beyond simple observation and develop targeted strategies for improvement and decision-making.

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