Data & Analytics
Gauging the performance of learners—and of learning—using a variety of methods, information and approaches helps L&D improve learning solution design and development.
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Speaking the Same Language: Iuliia Algasova on Building a Skills-Based Organization
Iuliia Algasova is a learning leader focused on skills development, capability building, and the thoughtful use of AI in learning. As Vice President, Skills Development at BlackRock, she works at the intersection of business needs, workforce capabilities, and modern learning design, helping develop job-ready skills at scale. Her background in teaching, online learning, and content strategy brings both innovation and empathy to her work, while her recognition as one of the Learning Guild’s Thirty Under 30 reflects her commitment to practical, human-centered learning. In this Q&A interview, she discusses how skills can create a shared language across learning, talent, and…
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From Course Hours to Skills Data: Redesigning L&D Programs for Proof of Capability
Most L&D teams are running serious learning programs, but have a hard time answering the questions leadership keep asking: How do we know employees are building skills? And what do those new skills mean for the business? Completion rates and course hours tell you what happened. They don’t tell you what employees can do, or whether that capability is visible enough to drive internal mobility, inform talent decisions, or survive a budget conversation with the C-suite. Credentials, built the right way, are how capability becomes visible. In her role as Accredible’s Professional Services Lead, Lauren Shapiro has seen firsthand what…
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Your Data Is Only as Good as Your Governance
Governance shapes how we manage our own data, request data from others, prepare it for use, and understand what happens to it when vendors are involved.
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Looking Upstream: A Conversation with Craig Taylor on Designing the Conditions for Success
Product usage does not guarantee that the customer is achieving the outcome… Equally, low product usage does not mean that the customer is not getting value from the product.
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Canvas Career by Instructure: AI-Powered Skills LMS for Modern L&D
L&D teams have more opportunities than ever to build programs that directly connect with what learners need and what organizations are trying to achieve. The challenge is finding the time and capacity to do it well when content production, reporting, and administrative work fill most of the calendar. This demo shows how Canvas Career by Instructure, a skills-based LMS built for workforce learning, uses AI across the full workflow. We’re showcasing an end-to-end AI workflow that does the heavy lifting for you; from an AI Learning Assistant that personalizes engagement to an Authoring Agent that builds high-impact content from scratch.…
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3 Questions to Address Before You Collect Any Data
When leadership asks for completion rates, [these three] questions help you respond with more than a number and more than they anticipated! This is where you, as a trusted advisor, begin to shine.
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From B2C Engagement to B2B Outcomes
In the early days of a great learning program, magic often comes from one-to-one moments. There is real connection, relevance, and a clear link between learning and personal growth or career advancement. Engagement matters because it helps learners stay with the experience long enough to reach those outcomes. But as programs grow from serving individual learners to supporting learners within organizations, it becomes harder to hold onto what made them work in the first place. In this session, we will explore how learning organizations move from B2C learning models to B2B environments without losing effectiveness by grounding their approach in…
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Speaking Data: The Language of Impact and Behavior Change
L&D teams often report data accurately from learning needs assessments, surveys, or evaluations. This is a good first step! Taking it to the next level is about turning data into actionable insights for stakeholders. This session reframes data as a language, moving from semantic reporting (what each survey question literally says) to pragmatic meaning (insights interpreted in context to drive behavior change). You’ll see how to use AI and pattern analysis to identify meaningful patterns in your mix of quantitative and qualitative data. These “experience patterns” can then be integrated into a strategic behavior-change approach, such as MOJO (Motivation, Opportunity,…
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DevLearn 2026 Program Is Live: Explore What’s New
The DevLearn 2026 program is officially live—bringing with it an expanded, forward-thinking lineup designed to help learning professionals reimagine their learning strategies and drive real impact across their organizations. As North America’s largest learning technologies event, DevLearn continues to bring 200+ sessions, three powerful keynotes, and unmatched opportunities for hands-on learning and connection. But this year, the program features several exciting updates that reflect where the industry is heading and what professionals need right now. New track topics: expanding the learning landscape DevLearn 2026 introduces new track topics that reflect the growing scope of learning and development: These new additions join DevLearn’s comprehensive lineup of topic areas, all designed to help you stay ahead of change,…
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Showing Value While You Build
Many L&D teams are expected to show value while programs are still being built, priorities are shifting, and resources are limited. This session focuses on how to communicate progress and impact during growth, not just after everything is complete. We will look at ways to talk about your L&D projects while they are still taking shape and how you can share early wins and progress in ways the leaders will trust. You’ll also learn how to set clear expectations with leaders during periods of change and communicate momentum without overselling results. We’ll explore practical examples and real scenarios, enabling you…