Let’s say you’re suffering from severe abdominal pain, and you visit a doctor who with absolutely no examination prescribes you numerous medications. You'd most likely be hesitant to return to the same physician the next time you’re sick. Interestingly, as learning professionals, we sometimes do something similar. We only assess learning programs after they fail, much like embracing them only after they've already proven unsuccessful.
The majority of valuable learning metrics including completed hours, pre-training tests, participant feedback, and post-training test scores rely solely on post-learning assessments, thus offering limited insights about the learning program as a whole. And while learning professionals utilize such metrics to keep their stakeholders informed about the progress of learning and development within the stakeholders’ organization, if the results of these metrics are disappointing, the stakeholders’ trust is eroded, resulting in an unfortunate relationship between learning professional and stakeholder, thus in general hindering a positive learning culture.
What can be done to eliminate this risk? Developing a data-driven learning design.
Data-Driven Learning Design
Data-driven learning design is an iterative process that leverages the power of data and analytics to make evidence-based decisions about how to create efficient learning solutions. Data-driven learning design involves three steps: discovering insights, responding, and monitoring.
1. Discovering Insights: Validate the need to develop a learning program by analyzing data including learner preferences, digital behavior, surfing tendencies, and previous learning history. For example, determining whether your target audience would like to read an article on a laptop or watch a video on a mobile device. The amount of time required for this stage varies depending on the project's size and the amount of available data.
2. Responding: After insights are discovered, you need to build your learning program according to the findings. For example, if you know your users start their day by visiting the organization’s Intranet homepage using their mobile devices, ensure that your learning program is mobile-friendly and accessible on the organization’s Intranet homepage.
3. Monitoring: Test your hypotheses immediately after the launch of a learning program to determine if your analysis was accurate. For example, after you release a handout for users, monitor the number of individuals who downloaded or utilized the handout in the initial hour or day following the handout’s release.
How Data-Driven Learning Design Helps in Talent Transformation
Data-driven learning design plays a pivotal role in talent transformation by allowing learning professionals to meticulously tailor learning programs that meet the dynamic needs of learners by aligning with evolving organizational objectives.
For example, by delving deep into data, learning professionals can unveil patterns in a learner’s behavior, allowing the creation of adaptive learning paths that resonate with an individual’s learning style and preferences.
Data-driven learning design also enables agility through the analysis of a learning program’s efficacy, thus empowering learning professionals to continually refine and enhance learning experiences by ensuring alignment with ever-evolving business objectives and market dynamics.
Leveraging data analytics enables the prediction of an organization’s potential skill gaps. The early identification of these gaps allows learning professionals to proactively design learning experiences that bridge such gaps in order to ensure a future-ready workforce.
Therefore, utilizing data to showcase the impact of an organization’s learning initiatives helps in cultivating a culture of continuous learning.
How Can We Help You?
Ozemio provides you with an unparalleled team of seasoned professionals dedicated to empowering your learning initiatives through data-driven strategies.
Partnering with Ozemio means uncovering a treasure of relevant data insights meticulously curated to guide strategic decisions specifically tailored to your unique learning needs. Ozemio’s collaborative approach thus ensures a deep understanding of your learners' expectations, allowing us to craft bespoke learning solutions that not only meet but greatly exceed your expectations, all while driving tangible business results.
And Ozemio’s commitment extends beyond creation. At every step we walk by your side, evaluating the effectiveness of each learning program, methodically analyzing your performance metrics, and delivering actionable insights that ensure your continuous enhancement.
Together, we will pave the way for a culture of continual improvement in your company, ensuring your learning endeavors remain relevant, impactful, effective, and competitive.