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Welcome to the next installment in our data visualization series for learning and development (L&D). In our previous posts, weve talked about ways to present L&D data effectively. Now, were diving into pie chartscircular wonders that can help you serve up clear, impactful insights about your learning programs.
Numbers tell stories, but how do you help trends in the data shine through ? That's where line charts come in. They change raw data into visual narratives that can inform, persuade, and inspire action in Learning and Development (L&D). Now, let's talk about how line charts can enhance your L&D insights and inform strategic decisions.
When it comes to presenting L&D data , sometimes simpler is better. In this installment of our data visualization series, well explain how bar charts offer a straightforward yet powerful way to communicate L&D insights. Lets talk about what makes them so effective.
You're sitting on a goldmine of L&D data, but without the right tools like a learning analytics platform to dig into that learning data , it doesn't have much value. Sound familiar? It's a common scenario for many organizations, where being able to extract meaningful insights from information can make or break your competitive edge.
Our last blog post discussed data visualizations importance in Learning and Development (L&D). Now, lets dive deeper into a crucial aspect of this process: selecting the right chart type for your learning data. The chart you choose can make or break your data story, influencing how your audience interprets the information and, ultimately, their decisions.
When it comes to the world of Learning and Development (L&D), were often swimming in a sea of data. Completion rates, assessment scores, engagement metricsyou get the idea. But heres a hard truth: all that data is useless without a story.
A company’s success depends on its ability to build a capable, efficient workforce. Training and development programs are essential to giving employees the skills and knowledge to increase business growth. Yet, L&D often struggles to show how their work affects company performance. That's why linking learning analytics to business goals, objectives, and KPIs is essential.
We’ve partnered again with GP Strategies for our ninth annual Measuring the Business Impact of Learning survey , which explores the latest trends in Learning & Development’s (L&D) capability to measure learning’s impact.
DevLearn 2024 is just around the corner, and we've combed through the program and picked out the best talks on xAPI, learning analytics, and measuring the impact of your training programs. And don't forget—you can find us at Booth 534 , so swing by to say hello!
Welcome to the first part of our blog series exploring our Measuring the Business Impact of Learning 2024 report. We’ll share our latest research—looking at how L&D departments measure the effect of their training programs.
If you're an instructional designer or involved in learning and development (L&D), you've probably heard the buzz about learning analytics and L&D data. But what's all the fuss about? Let's explore the world of learning analytics and discover how it can be a game-changer for instructional designers.
If you're an instructional designer or involved in learning and development (L&D), you've probably heard the buzz about learning analytics and L&D data. But what's all the fuss about? Let's explore the world of learning analytics and discover how it can be a game-changer for instructional designers.
For HR professionals, using L&D data is no longer optional —it’s essential in creating a robust people strategy. This data offers invaluable insights into skills development while revealing gaps and opportunities to upskill and drive talent mobility within an organization.
Integrating L&D data with robust reporting tools is a game-changer when it comes to continuously improving sales performance. It's all about gaining valuable insights into the effectiveness of sales training initiatives , and that's exactly what this blog post is all about.
The Association for Talent Development's International Conference & Exposition (ATD ICE) is the premier event for anyone passionate about learning and development. We've combed through this year's impressive lineup of sessions to find the ones that offer unique insights into how you can better link training to tangible business results. These sessions will help you evaluate the effectiveness of your training programs , and ultimately demonstrate the value of L&D initiatives in ways that
The talks at Learning Technologies are always a good chance to see what the L&D and training community is hyped about. And while virtually all sessions included “Artificial Intelligence” somewhere in the title, it was the learning measurement-focused sessions that caught our attention.
It’s no secret that sales teams continually look for ways to improve performance and achieve greater success. After all, sales power an organization’s ability to stay in business. And one incredibly powerful tool that can help them do just that is learning analytics.
Gaining insights into workforce behavior offers valuable insights that can inform strategy across your entire organization. A lot of the data that underpins this is generated by training activity, but the benefits of transforming L&D data into actionable insights should be a wider strategic goal for the C-Suite to consider. Data-led insights can have a resounding impact on the wider business.
It’s often said that learning lags behind other areas of the business when it comes to the way it reports. Eight years of collecting data in our "Measuring the Business Impact of Learning" surveys have consistently told us that L&D’s desire to measure is not matched by capability. Yet, learning leaves a huge digital footprint, often scattered across a vast ecosystem of unique systems and platforms.
At Watershed, we are no strangers to understanding what drives the need for learning analytics. There is no shortage of L&D data to analyze. But what burning questions do we keep hearing? In this blog post, our Sales Director Brandon Brodkin explores how to use learning analytics for a winning workforce strategy.
Data powers businesses with insights that drive strategic decisions, and the world of L&D is no exception. Thanks to learning analytics, L&D has revolutionized how it approaches, implements, and measures training initiatives.
When it comes to measuring and analyzing learning, knowing what data to look at and what questions to ask of that data can be challenging. In the introduction to this series , we broke down initial steps to recognizing the components of your existing learning ecosystem. We also covered the importance of gaining access to all of the L&D data across your learning ecosystem , cleansing the data, and aggregating it so you can create and analyze reports that enable you to take action.
Measuring the true impact of learning is a challenge and one that has long been constrained to feedback from happy sheets and the like. Rushed, tick-box learner feedback, hours spent training, and completion rates have dominated L&D’s metrics for years. If your ambition is to have a busy learning function that churns out satisfied learners, then great.
This week, we're spotlighting Andy Webb, director of training at Applied Industrial Technologies. In this post, Andy shares his experience and professional learning and development insights when it comes to the first steps to build and maintain a successful L&D program with learning analytics.
Every year, we look forward to running our “Measuring the Business Impact of Learning” survey. It’s an excellent opportunity to sense-check our thoughts on measurement with the views of frontline L&D leaders and professionals. As champions of using data to guide your people strategy, we relish the opportunity to explore the challenges, successes, and methodologies adopted across the industry.
The rising importance of skills is unquestionable. Organizations face rapidly shifting landscapes, and the shelf life of both roles and technically-focused skills is shorter than ever. This shifting demand can feel like you’re forever chasing your tail.
Are you attending DevLearn 2023 in Las Vegas? With so many informative sessions, deciding which ones to attend can be overwhelming. That's why we've compiled a list of our top picks to help you make the most of your time at the conference.
Our last blog post discussed how achieving a global view of your organization’s skills data is crucial in unlocking instant insights while being the bedrock for your future L&D Strategy. But to reap the long-term benefits, you need a reliable data foundation.
Let’s be very real. Gathering and organizing skills data from across the learning ecosystem is one of the most significant challenges facing learning leaders today. This process isn’t quick or easy, but it’s worth the effort.
As we continue to explore the role that learning analytics plays in the shift toward skill-based organizations, one small but important detail is emerging. A successful approach to data-driven insights requires vast swathes of reliable data. No surprise there, of course. But how do you get that information when you’re capturing the individual skills of thousands of employees across complex learning ecosystems?
When you have tens of thousands of employees, you also have a lot of potential data and related sources about employee skills. So where and how do you get started? This blog post explains how L&D can access skills data from across a learning ecosystem to get a comprehensive view of skills and competency levels across the organization.
After aligning learning evaluation goals, defining metrics, and designing your program, it's time to monitor progress toward learning program objectives.
Let’s face it. One-size-fits-all training programs are a thing of the past. Welcome to the era of personalized learning experiences driven by data-informed insights. L&D's future is becoming increasingly intertwined with the power of skills data. So organizations must invest in gathering and analyzing skills data to stay competitive. But knowing where to find and start using skills data can be challenging.
When I first started working in the learning space, I assumed that HR, talent management, and the world of L&D were all one and the same. After all, they share the same end goal of nurturing a productive, engaged, and skilled workforce. But dive a little deeper, and the reality appears a little different. HR and L&D events are often miles apart from the tech to the talk tracks.
Kaufman's Levels of Learning Evaluation is one of several training evaluation models that builds on or reacts to Kirkpatrick’s model. This blog post explores the Kaufman method, including the two main differences that set it apart from Kirkpatrick's evaluation method.
Many learning evaluation models outline different ways of assessing whether our learning solutions work and why. It's the first step in ensuring our future learning solutions work. And as part of our learning and training evaluation series , this blog post explores Anderson's Value of Learning Model and its three-stage learning evaluation cycle that's meant to be applied at the organization level rather than for specific learning interventions.
Most L&D professionals agree it’s essential to set aside a budget for learning measurement, but few are able to do so. Yet, organizations with a budget for learning analytics are more likely to believe in data and learning measurement, feel executive pressure to measure, and have learning analytics capability on their team.
Learning analytics supports learning and development in many ways. So how do organizations use learning analytics today? And how do they want to apply these analytics in an ideal world? This blog post explores findings from two L&D surveys to gauge how learning analytics is currently being used, and the metrics that sit behind measurement efforts.
Dancing robots, generative AI, and a focus on integrating skills into your learning strategy were all featured at Learning Technologies 2023. While we can write the dancing robots off as crowd-drawing distractions (along with the poor souls wearing full Stormtrooper and tiger outfits), it’s fair to say generative AI will be here to stay. Everyone talked about it, but how widely will L&D embrace it, and does anyone truly understand its impact yet?
Is the learning record store (LRS) in your LMS or LXP providing the data and information you need to understand all the learning that’s happening across your organization? Or, are you limited to the data within that particular system? Remember, without a comprehensive view, it’s hard to know what’s really working and where your learners need support.
Most L&D professionals agree it’s essential to set aside a budget for learning measurement, but few are able to do so. Yet, organizations with a budget for learning analytics are more likely to believe in data and learning measurement, feel executive pressure to measure, and have learning analytics capability on their team.
Implementing your learning analytics strategy requires people, technology, and budget. In this post, we focus on the people who create, organize, and evaluate learning analytics. Find out how many organizations have a dedicated learning analytics team, if their L&D department has analytics capability, and if they plan to change their learning analytics staffing in the near future.
Measurement, data, and benchmarking naturally go hand-in-hand. Many in L&D will instantly make the connection with how this statement could apply to either learner or program performance. But take a step back and you’ll realize the same principles apply when it comes to assessing your organization’s learning analytics capability. This blog post explores the results of recent survey questions on learning analytics maturity and capability.
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