AI has transformed product management, leading to the need for systematic evaluation of AI outputs.Product managers should rely on evals (evaluations) to assess AI outputs against defined criteria.Three primary evaluation approaches for product managers include grounded evals, rubric-based evals, and preference evals.Implementing a systematic four-step evaluation process can help product teams ensure AI quality and user trust.