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Quantitative Data Interpretation

Interprets quantitative prototype data to reveal user behavior and improvement areas.

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I’ve gathered quantitative data from [user testing/surveys/analytics] for my [product/service] prototype. The key metrics I’ve tracked are [list metrics]. Can you help me interpret this data? Provide insights on what the numbers might indicate about user behavior or preferences, and suggest areas where the prototype might need improvement based on this data.

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