The correct answer is A. Quantitative, as explicitly stated in the uploaded study guide.
The defining requirement is to determine whether a released feature was successful and to track usability over time. That calls for measurements that can be collected repeatedly and compared across periods, which is why the study guide selects a quantitative methodology.
Quantitative research produces numerical evidence that can be monitored longitudinally. Depending on the study design, this can include measures such as completion rates, error rates, engagement, usage frequency, time-related measures, or other defined UX indicators.
Option B, Qualitative research, is better suited to questions about why users behave in a particular way, what they think about an experience, or what problems they encounter. It can explain underlying causes but is less directly suited to tracking a numerical trend over time.
Option C, Inductive, describes a reasoning approach rather than the research methodology selected by the study guide for ongoing success measurement.
The important UX distinction is between understanding experiences deeply and measuring their performance systematically. When the objective is longitudinal tracking and evidence of success, the guide points to quantitative research.
Study Guide reference/topics: Quantitative research, usability metrics, longitudinal measurement, feature success, Testing.
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