Question 1 of 30
A developer notices a significant drop in daily active users for their popular Alexa skill following a recent feature enhancement. Initial analysis of user session logs indicates a sharp increase in exit rates at a particular interaction point within the skill flow. To effectively diagnose the root cause and formulate a responsive strategy, which of the following analytical approaches would best leverage available data sources to inform a necessary pivot?
Correlate quantitative user session data, such as exit points and feature usage, with qualitative feedback from in-skill surveys and public app store reviews to identify specific usability issues or unmet expectations.
Focus solely on analyzing customer support tickets submitted after the update, assuming these represent the most critical issues impacting user engagement.
Conduct A/B testing on various new feature implementations without first analyzing existing user feedback to quickly iterate on potential solutions.
Prioritize the analysis of aggregated skill usage metrics, such as total session duration and invocation counts, to determine if the decline is widespread or isolated to specific user segments.

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