What does 'analytics-driven design' refer to?

'Analytics-driven design' refers to a strategy that utilizes data to inform design decisions. This approach emphasizes the importance of gathering and analyzing various forms of data related to the learners, such as their performance metrics, engagement levels, and feedback. By leveraging this data, instructional designers can tailor their courses and training programs to meet the specific needs of learners, ultimately enhancing the effectiveness of the learning experience.

This method contrasts sharply with approaches that rely solely on intuition or personal preferences, as it grounds design choices in empirical evidence rather than subjective views. It also stands apart from methods that disregard learner data entirely, as these would likely miss vital insights that could inform improvements or adaptations in the instructional design. Overall, analytics-driven design fosters a more learner-centered approach, aiming for continuous improvement based on analytical insights.