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As software developers, we're accustomed to A/B testing product features, meticulously measuring lift, and shipping based on a statistically significant p-value. This tried-and-true method works for many scenarios.
Every product experimentation team eventually confronts a common challenge when launching new features, especially those leveraging Large Language Models (LLMs): the 'Opt-In Trap'. Imagine shipping a new AI assistant
