Adopting a new technology or process can sometimes seem overwhelming. We like to enable our clients to adopt learning analytics and xAPI by making it simple.
Your needs are as unique as your business. That’s why we take a consultative approach to getting each one of our clients up-and-running at whatever stage they ultimately desire (crawl, walk, or run).
You’ll notice that each stage (crawl, walk, and run) also includes 4 steps to the left. This is our process for xAPI implementation. See our infographic below to get a better idea of what encompasses each stage of this iterative process!
Summary of Each Stage
The Crawl stage sometimes encompasses something as simple as getting more engagement and behavioral data out of a Learning Management System (LMS). We connect our Learning Record Store to the LMS and get all of the data reporting xAPI. This is a completely non-disruptive process; the LMS will continue to run the way it always has. The Crawl can also take the form as a Proof of Concept where we might connect to one or two important systems and/or pieces of content, gather data, and visualize this data within our big data reporting tool. This allows you to easily see the power of xAPI along with a learning record store, and gaining insights immediately.
In the Walk stage, the work we do can get a little more complex. The complexity may be the types of systems we’re connecting with, or the sources of data we’re reporting on. If you started with crawl, you’ve already proven the concept of the work so here is where we take it to the next level. At this stage, we could enable an entire learning-ecosystem with xAPI technology, or an entire software program/app. With a learning ecosystem now interconnected, you’ll get very detailed learning analytics around consumer/learner usage, build better reports, and correlate data using a data visualization tool.
The Run stage is the most complex of the 3. You don’t have to get to the run stage if you don’t want to. We have some clients who are ecstatic in the crawl stage, and getting all of the data they need from simple work. These methodology stages increase in complexity (not necessarily difficulty) as we move up, and sometimes there isn’t a need to get complex. During this stage, adaptive and automated techniques are introduced, as well as rules and workflows around delivered training.
This is the stage where we get into adaptive and automated techniques where we (or our clients) are building rules and workflows around the types of training being delivered. This is also the stage that our clients are using data visualizations and reports to evaluate the training (what works, what doesn’t, and why) and adapt to it based off of the data they are getting and what trends are showing.
We’d love to hear your thoughts on this infographic and ways that you intend to use it!
Read our blog post explaining the Crawl, Walk, Run Methodology in greater detail.