VR Analytics by VadR Shows the Way Ahead

As with any industry, data analytics for VR is very crucial. VR analytics is run on data that was not conceivable ever before. We are able to capture a lot more data about how users are using the content, which can help us understand how to improve users’ experience. VR analytics is making VR more centred around users. It’s making VR more human.

The huge amount of data captured should be presented in non-complicated ways which are intuitive and easy to understand. If VR is immersive, so should the data be.

VadR recently launched its VR Analytics suite, that is helping VR developers and VR businesses understand their users better. While users are immersed in the VR experience, VadR is making sure to capture the immense amount of data that is generated and is using advanced visualisation techniques to present the data.

VadR Analytics Features:

1. Business Intelligence: Metrics relating to Usage, Sessions, Usage Patterns, Avg. Usage time etc. This data is important as it gives us basic, yet essential usage data and has far-reaching implications for the insights that can be generated.
2. Device Performance: VR is pushing devices to their limits. Never more than now has limitations of computing power been a problem. Each component in VR system needs to be optimised. Knowing which component is in the red, and which is not, helps in increasing efficiency accordingly. With important metrics like FPS, CPU usage, RAM usage etc., you are more than covered to know each component of the system.
3. User Behaviour: Knowing user interests and engagement is a major step towards understanding what works and what does not in VR. Where users are generally looking in the VR content, when aggregated over multiple sessions shows us their points of interests or objects that might have caught their attention. Where are users’ moving and how much time are they spending there tells us where they are engaged most with the content. All of this needs to be shown in an intuitive manner, and Heatmaps have been very effectively used here.
4. Custom Metrics: VadR’s platform is completely customisable. Developers can ask specific metrics that are important and relevant to their content. They have even been given the flexibility to view this information as they like; as a heatmap or as Charts and Graphs.

Given the extreme flexibility and power of VadR’s platform, its use is not limited to one particular segment of VR, but can be used by any content that is native to VR. With clients from Real Estate, Games and Industrial Training, it truly shows that every VR industry can use their platform.

VadR has big plans for the future and are working on multiple fronts. Their Emotion analysis engine will be able to tell the emotions of users while they are in the VR content. Their Insight Generation feature will be able to give users actionable insights into what are the problem areas and why is it the case. You can access their platform on www.vadrnet.com.