top of page

Identify a designer's role during Evaluate

“What is a learning designer's role during the evaluation phase of a project?”

“What tasks might a learning designer perform during the evaluation phase of a project?”

“What are Kirkpatrick's Levels of Evaluation?”

“What best practices should learning designers consider during the evaluation phase of a project?”

“What common mistakes should learning designers avoid during the evaluation phase of a project?”


In the multifaceted world of educational design, the role of a learning designer extends far beyond the initial creation of content and materials. The evaluation phase of a project is a critical stage where the learning designer transitions from creator to a keen analyst and thoughtful reviewer. This phase calls for meticulous scrutiny of the educational intervention to gauge its efficacy and impact. But what does this involve exactly? The content ahead will delve into the specific roles and tasks that a learning designer might assume during the evaluation phase, from employing frameworks such as Kirkpatrick's levels of evaluation to pinpoint the success of a learning program, to the best practices that should guide their efforts for effective and meaningful analysis. Additionally, potential pitfalls that can compromise the integrity and usefulness of the evaluation process will be highlighted.


Through this lesson, you should be able to identify the role and responsibilities of a learning designer during the evaluation phase.



What is a learning designer's role during the evaluation phase of a project?


During the evaluation phase of a project, an instructional designer primarily acts as a bridge between the learning experience and its outcomes. In this capacity, they play the crucial role of an analyst, scrutinizing the effectiveness and relevance of the designed intervention. They serve as a feedback interpreter, deciphering how well the instruction met its intended objectives, and assessing its real-world impact. By gauging learner outcomes against predefined goals, they determine the success of the instructional material. Moreover, they position themselves as key communicators, liaising between the data derived from evaluations and the stakeholders or team members. Their insights drive improvements, ensuring that learning experiences are continually refined and optimized.


What tasks might a learning designer perform during the evaluation phase of a project?


Here's a breakdown of potential responsibilities during this phase:

Evaluation planning: Before the actual evaluation begins, the instructional designer lays the groundwork by determining the criteria for evaluation, the methods to be used, and the tools required. This often involves creating a detailed evaluation plan.

  • Gathering data: The instructional designer collects data related to the learning experience. This could include learner feedback, quiz and test scores, participation rates, and other relevant metrics.

  • Assessing learning outcomes: Using the collected data, they assess whether learners achieved the intended objectives of the course or training program.

  • Analyzing feedback: They sift through the feedback provided by learners and other stakeholders to identify areas of strength and weakness in the instructional material.

  • Measuring impact: The designer might use frameworks, such as Kirkpatrick's levels of evaluation, to measure the immediate reaction, learning retention, behavioral changes, and eventual results or impacts of the learning intervention.

  • Recommending improvements: Based on the evaluation results, the instructional designer identifies areas of improvement and recommends changes or updates to the learning material, strategies, or delivery methods.

  • Stakeholder communication: They present the findings of the evaluation to stakeholders, often in the form of detailed reports or presentations. This involves translating the collected data into actionable insights.

  • Iterative revisions: Using the evaluation feedback, they might be tasked with revising and improving the instructional materials or methods to better meet the learners' needs and the project's objectives.

  • Continuous improvement: Even after immediate revisions, an instructional designer often keeps track of how implemented changes influence learner outcomes and experience over time, fostering a culture of continuous improvement.

What are Kirkpatrick’s Levels of Evaluation?


Kirkpatrick's Levels of Evaluation is a widely used framework in the field of training and development to measure the effectiveness of a training program. Developed by Dr. Donald Kirkpatrick in the 1950s, the model outlines four sequential levels of evaluation:

  1. Reaction: This is the initial level that gauges participants' responses to the training. Essentially, it seeks to answer the question: "Did the participants like the training?" Tools often used at this level include post-training surveys or feedback forms where learners rate the training's relevance, content quality, delivery method, and their overall satisfaction.

  2. Learning: This level measures the extent to which participants acquired the intended knowledge, skills, attitude, or confidence from the training. It answers the question: "What did the participants learn?" Assessments, quizzes, simulations, or pre-and-post tests are commonly used tools to evaluate this level.

  3. Behavior: At this level, the focus is on whether participants apply what they learned during training when they are back on the job. The key question here is: "Are participants applying what they learned in their roles?" To assess this, one might observe on-the-job performance, conduct interviews or surveys, or review performance metrics that could be impacted by the training.

  4. Results: This is the highest level of evaluation and measures the final results or outcomes that occurred because of the training. It addresses the question: "What tangible results have come from the training?" This could be in terms of increased sales, improved product quality, reduced costs, or any other measurable outcome that was a goal of the training.


The Kirkpatrick model emphasizes that each successive level represents a deeper and more meaningful form of evaluation. While Reaction and Learning are easier to measure, Behavior and Results demand longer-term observation and a more systematic approach to data collection.


What best practices should learning designers consider during the evaluation phase of a project?


During the evaluation phase of a project, learning designers play a pivotal role in ensuring the effectiveness and relevance of the learning intervention. By following best practices, they can better gauge the success of their program and make necessary improvements. Here are some best practices learning designers should consider during the evaluation phase:

  • Define clear evaluation objectives: Before embarking on the evaluation, be clear about what you intend to measure. Is it learner satisfaction, knowledge acquisition, behavior change, or organizational impact? Knowing this will guide the entire evaluation process.

  • Choose the right evaluation tools: Depending on what you're measuring, use the appropriate tools – from simple feedback forms and quizzes to more detailed assessments, analytics tools, or observation methods.

  • Use multiple data sources: Don't rely on a single data source. Combine quantitative methods (like test scores) with qualitative methods (like interviews or focus groups) to get a comprehensive view.

  • Ensure anonymity and confidentiality: Learners are more likely to give honest feedback if they know their responses are anonymous and their personal information is kept confidential.

  • Analyze contextually: Always consider the broader context when evaluating data. For instance, if a particular module received negative feedback, consider external factors that might have influenced this, such as technical issues or external events.

  • Act on feedback: Evaluation isn't just about collecting data. It's crucial to use the insights gained to refine and improve the learning experience.

  • Communicate findings: Share evaluation results with relevant stakeholders, from training sponsors to facilitators. This transparency can build trust and promote collaboration.

  • Consider long-term impact: While immediate feedback is valuable, also think about the longer-term effects of the training. This might mean conducting follow-up evaluations weeks or even months after the learning intervention.

  • Iterate: Use the evaluation phase as a stepping stone for continuous improvement. The goal isn't to create a perfect learning experience on the first try but to consistently refine and improve based on feedback.

  • Stay updated: The world of evaluation is ever-evolving, with new tools and methodologies emerging regularly. Stay updated on the latest best practices and be willing to adapt and evolve your evaluation methods.

Incorporating these best practices can ensure that the evaluation phase is not just a formality but a robust process that genuinely enhances the quality and effectiveness of learning interventions.


What common mistakes should learning designers avoid during the evaluation phase of a project?


The evaluation phase is vital to the overall success of a learning project. However, during this phase, certain pitfalls can compromise the quality of the evaluation and its subsequent results. Here are some common mistakes learning designers should avoid:

  • Neglecting evaluation planning: Jumping straight into evaluation without a clear plan can lead to haphazard results. It's essential to determine in advance what will be evaluated, how, and when.

  • Over-reliance on one metric: Depending solely on one type of feedback (e.g., just post-course surveys) can provide a narrow view. A comprehensive evaluation should use multiple metrics and feedback methods.

  • Ignoring qualitative data: While quantitative data provides measurable results, qualitative feedback offers rich insights into the learner's experience and perceptions. Both are vital for a balanced evaluation.

  • Bias in interpretation: Learning designers must avoid confirmation bias (favoring information that confirms their existing beliefs) and approach data with an open mind.

  • Delayed evaluation: Waiting too long after the learning experience to evaluate can lead to loss of immediate reactions and feedback from participants, reducing the accuracy of the results.

  • Not ensuring anonymity: If learners fear repercussions for negative feedback, they might not be honest. It's crucial to ensure that evaluations are anonymous to garner candid responses.

  • Overlooking context: Evaluating in a vacuum can lead to misinterpretations. Consider external factors like organizational changes, technical issues, or world events that might affect feedback.

  • Avoiding negative feedback: Constructive criticism is invaluable. By sidelining negative feedback, learning designers miss out on opportunities to improve.

  • Lack of follow-up: Once the evaluation is done, there's a need for follow-up. Failing to act on feedback or communicate changes can make learners feel their input is unvalued.

  • Setting unrealistic expectations: It's essential to understand that no program will be perfect and that some feedback will always be mixed. Setting realistic expectations can help in objectively analyzing feedback.

  • Not re-evaluating: One evaluation is not enough. As changes are made based on feedback, re-evaluation ensures that modifications are effective and no new issues have arisen.

Summary and next steps


The evaluation phase of a project is a critical juncture where the learning designer's role evolves from content creator to keen analyst and thoughtful reviewer. This transition calls for meticulous scrutiny of the educational intervention to assess its efficacy and impact. In this capacity, a learning designer serves as a bridge between the learning experience and its outcomes, interpreting feedback and gauging learner outcomes against predefined goals. They serve as pivotal communicators, translating evaluation data into actionable insights and presenting these findings to stakeholders or team members. With a focus on continuous refinement and optimization, their work informs subsequent improvements to the learning experience. This lesson delves into the specific roles and tasks a learning designer might assume during this phase, employing frameworks like Kirkpatrick's levels of evaluation to pinpoint a program's success, and highlights both the best practices that should guide effective analysis and potential pitfalls that can compromise the integrity and usefulness of the evaluation process.


Now that you are familiar with a designer’s role during Evaluate, continue to the next lesson in LXD Factory’s Evaluate series: Measure learner reactions.

Commenti


bottom of page