Your company is test driving a new remote learning platform for corporate training. The platform promises to deliver everything you could possibly need, including a dashboard plastered with tons of data. Great. Now, you need to figure out if the platform actually delivers on its promises.
Learners will tell you what they think of the platform as they use it. Learning and development (L&D) teams will provide input about ease-of-use, learner tracking, etc. As an administrator, you will rely heavily on your dashboard to figure out what’s going on. Does the dashboard truly work? There is a good way to find out.
Not All Data is Good Data
The people behind Fulcrum Labs’ AI-powered adaptive learning platform explain that an effective dashboard is not necessarily defined by the volume of data it presents. It is the quality and “actionability” of that data that matters.
Truth be told, not all data is good data. Not all data is actionable or relevant. Unfortunately, the fundamental truths of what gives data value have been lost in our pursuit of the big data model, a model that says we should gather as much data as is humanly possible and then figure out how to use it later on.
Big data has evolved to the point where we have amassed so much data globally that most of it go unused. If your dashboard is delivering data that is useless to you, what’s the point? Unusable data leaves you staring at a screen with more questions than answers. What you need is a dashboard that gives you data you can work with.
What You Really Need
Fulcrum Labs has designed its platform’s dashboard to give administrators and L&D teams the data they need to do their jobs effectively. While you are test driving that new platform, here are three things the dashboard should be delivering:
1. Relevant Data
A virtual mountain of data is useless if it does not apply to what you are doing. Thus, you need relevant data. You need, for example, data that shows learners’ progress and performance. You need data that quickly shows the performance of your course content, flagging underperforming content, so you can quickly optimize it where necessary to deliver the most effective courses.
2. Actionable Data
Next up, you also need actionable data. Relevance alone is not enough. Actionable data is data that can be utilized to make decisions. Data, for instance, shows which learners are struggling, where, and why. Data that predicts who will likely apply the training back on the job, before they go back on the job. Data that helps your learners self-remediate and shore up their mastery and confidence, so that they have greater ownership of the material and you don’t need outside resources to help them get to application-level mastery of the skills. Actionable data is data that will ultimately define whether or not a platform is worth investing in.
3. User-Friendly Experience
Wrapping it all up is the user experience. If there is one thing that software developers have learned over the years, it is that providing a poor user experience dooms a piece of software. People are not going to use the software they hate using unless they have no other options.
The thing about remote learning platforms is that the options are plentiful. Thus, those with the most user-friendly dashboards will offer the most satisfying experience to administrators, L&D teams, and the learners. On the other hand, a dashboard can be a deal-breaker if it isn’t user-friendly.
You Will Know If It Works
It shouldn’t take long for you to figure out if the dashboard in your new remote learning platform actually works. Just step back and honestly assess the data it provides and how that data is presented. The dashboard is working if you are getting relevant, actionable data in a user-friendly environment. Basically, it’s usable.
If you aren’t getting that the dashboard isn’t working. It’s time to end the test drive and look at something else.