What kind of information can be extracted using metrics?

The choice that indicates metrics can extract event duration and calculated new information is correct because metrics fundamentally involve the quantitative aspects of data, focused on measuring and analyzing specific performance attributes. Metrics provide crucial insights into how long certain events take, which can help in understanding user behavior and system performance.

When analyzing event duration, metrics can capture the time taken for specific actions or processes to complete. This can include tracking the time interval from the start to the end of an event, thereby giving a clear picture of operational efficiency. Furthermore, these metrics allow organizations to derive calculated new information—such as averages, variances, or trends—by leveraging raw data to generate insights that inform decision-making processes.

The other choices revolve around qualitative data or specific counts rather than metrics, making them less relevant in the context of extracting analytical information directly from quantitative measurements. General user feedback is subjective and doesn’t fit into the hard data representation typically associated with metrics. System downtime length could be tracked but is more of a specific statistic rather than a metric derived from multiple data points. Software installation counts represent a static number without the depth of analysis that metrics provide through different calculations and event duration measurements. Thus, the potential for metrics to provide a broader analytical context makes the correct choice particularly apt.