Through real-world case examples, we will explore how strategic use of surveys, forms, and data analytics can elevate the learning impact of microlearning courses.

We will discuss how pre-assessments, post-assessments, and course evaluations have enabled an organization to pinpoint knowledge gaps, gather immediate learner feedback, and iteratively refine our microlearning designs. Explore and discuss how we utilize the results to inform current and future designs.

Learning objectives:

• Explain the role of surveys and forms as pre-assessments, post-assessments, and course evaluations within microlearning course environments.
• Describe the process of outlining, designing, and implementing surveys and forms to assess knowledge gaps and gather learner feedback.
• Analyze the survey and form results to evaluate the effectiveness of interventions.
• Apply insights from the survey and form data to inform the design of future learning experiences.

The future is not what the learning and development industry’s crystal ball predicted years ago. Many believed organizations would adopt one learning platform to fulfill all their training needs. Fast forward to today and this isn’t the case at all. The reality is that most organizations have disparate Learning Management Systems (LMSs) and data and BI tools implemented across every department. Each department has different priorities and needs specific tools designed for their own unique requirements. The result is the organization is left feeling disjointed and unable to easily track learner data. Now, a new and more daunting challenge is presented: Connecting these various systems and analytics together in a way that’s usable at scale, across geographies, and by both internal and external audiences.

In this session you will learn:

• What tools and systems are most commonly used in ecosystems today.
• How to identify the technical considerations in managing multiple systems and organizing disparate data.
• How to inventory your ecosystem and know what questions to ask vendors when acquiring new tools.
• How to organize your learning ecosystem to improve functionality and interoperability

We’ll examine how to: Build feedback loops between LMS data and instructional decisions. Use learning data to inform governance, pathway design, and content strategy. Translate metrics into meaningful actions that impact both learners and business outcomes

Learning Objectives:

• Identify key metrics that can inform learning design decisions.
• Analyze learning data to uncover opportunities for improving system-wide engagement and efficiency.
• Create actionable strategies that align learning analytics with organizational goals.

Gain a comprehensive understanding of how courses, learners, and tracking data are structured, empowering you to ask smarter questions, generate targeted reports, and make data-driven decisions that drive organizational impact. We’ll explore common structures (courses, learners, enrollments, completions), highlight typical limitations of exports, and show how understanding the underlying model gives you more flexibility, better reporting, and smarter questions. No technical background required! We’ll use visual examples, simple metaphors, and real-world L&D scenarios to make the invisible architecture of your LMS make sense. If you’ve ever wondered “Why can’t I get that report? This session is for you.

Learning Objectives:

• Understand what a relational data model is and how most LMSs store and organize data
• Learn the key data relationships behind courses, learners, and tracking
• Discover what APIs are and how they can give you more access than standard reports
• Gain confidence in working with technical teams or vendors to ask for the right data

What happens when a well-designed learning program has recently launched, and has strong momentum and you want to find new ways to showcase it further? This session explores how to elevate evaluation in the midst of a program’s lifecycle, strengthening the foundation, enriching data sources, and crafting data-informed stories that resonate with stakeholders. Join Andreah Churchill, CPTD, SPHR, as she shares how she supported AdventHealth’s innovative elective skills campaign to deepen measurement practices and energize the program’s adoption and reach. Learn how she expanded on existing survey efforts by layering in a new structured methodology, an Impact Study with test and control groups (clinical and non-clinical), and AI-powered prompts to accelerate analysis.

Learning Objectives:

• Apply a structured framework to evaluate the impact of a learning program retroactively.
• Design and implement a basic Impact Study using test and control groups to capture data across workforce segments.
• Leverage AI tools and prompts to accelerate analysis, surface key insights, and tell a compelling, executive-ready story about program value.

This session will focus on the use of metrics and evaluation to understand the need to change the program, to pilot new changes, and then to measure the impact of our work. We use robust metrics, looking at productivity data, time to ramp, and self and manager reported skills growth. Explore strategies that will enable leaders to advocate for investments into learning, despite the massive organizational headwinds L&D teams currently face.

Learning Objectives:

• Learn practical strategies for implementing personalized onboarding programs and unlock the full potential of your new hires.
• Explore how to influence decision-makers on the immense value of investing in organizational growth by using leverage data-driven metrics and evaluation.
• Gain insights into strategically influencing key stakeholders to champion the business solutions you propose.

Discover practical strategies to enhance L&D operational efficiency through effective project-based time tracking. You’ll learn how simple tracking methods can uncover operational opportunities and support strategic alignment within your organization. This approach has consistently helped L&D functions move from “order-taker” roles to strategic business partners. Perfect for managers, directors, and individual contributors (Yes! Even All-In-Ones!) seeking data-driven methods to improve operational efficiency, enhance project delivery, and build credibility within their organizations.

Through guided worksheet activities, you’ll design a customized time tracking approach tailored to your organizational structure whether you work in an all-in-one or federated L&D function. You’ll leave with a practical tracking tool you can implement immediately, real examples of how data analysis drives operational improvements, and strategies to demonstrate measurable value to organizational leadership.

Learning Objectives:

• Differentiate between baselines and benchmarks and the value of each toward L&D operations.
• Draft customized time-tracking frameworks that align with their L&D function.
• Implement practical strategies for overcoming common barriers to time tracking.

In today’s data-driven landscape, instructional designers have an opportunity to leverage the power of AI to uncover valuable insights from learner data and qualitative feedback gaining deeper insights into learner needs, preferences, and challenges. In this session you will analyze real-world qualitative feedback, extracting key themes and actionable insights using an AI tool.

Learning Objectives:

• Explain the benefits of using AI tools for data for analyzing learner data and qualitative feedback.
• Use an AI-powered tool to analyze a set of qualitative feedback.
• Extract key themes, sentiment, and actionable insights from learner data using an AI tool.
• Describe how to use data analysis findings to inform business decisions.