Every experiment should list the success metric (i.e., success criteria) for your experiment metric. Given the success metrics listed below, select the best success metric (or criteria).

Question

BlackTom AI · Accepted Answer

Start by identifying what the question is asking: choose the best success metric (success criterion) from the given options.
Option 1: 'The hypothesis is supported if everyone likes it.' This is imprecise and unrealistic as a metric. 'Everyone' liking it is rarely measurable, highly unlikely, and does not translate into a clear, testable threshold or data collection method. It also leaves ambiguity about what 'like' means and how to quantify it.
Option 2: 'The hypothesis is supported if feedback is positive.' While positive feedback is informative, it is vague unless you specify what constitutes 'positive' and how it will be measured (e.g., a rating scale, sentiment analysis, or a minimum percentage expressing satisfaction). Without concrete thresholds, this fails to provide a testable success criterion for an experiment.
Option 3: 'The hypothesis is supported if 5% of website visitors add an item to their shopping cart.' This provides a concrete, measurable threshold (5%), a clear behavior to track (adding an item to cart), and a defined population (website visitors). It aligns with best practices for success criteria by turning the hypothesis into a specific, verifiable metric that can be observed and analyzed statistically.
Option 4: 'The hypothesis is supported if it sells.' Selling is a broad outcome that depends on many factors beyond the experiment's direct effect or scope. It also lacks a defined threshold (e.g., units sold, revenue, conversion rate) and may conflate long-term business success with a single experiment, reducing the precision of the metric.
In summary, the strongest, most actionable criterion is the one that translates the hypothesis into a specific, measured behavior with a quantifiable threshold, which is captured by Option 3. The other options lack concrete definitions, thresholds, or testability necessary for a reliable experimental success criterion.

Every experiment should list the success metric (i.e., success criteria) for your experiment metric. Given the success metrics listed below, select the best success metric (or criteria).单项选择题

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