School of Innovation 

In the School of Innovation teams will be tasked with completing 8 tasks. Using gamificaiton, experiential learning and data visualisation 
we have created a course that is highly engaging, motivational and fun! 
 

1. Three scavenger hunts: working in teams the learners will search the School of Innovation for various objects which represent different aspects of the RPA solution. The leaners will have to work in teams – one person can pick up an object which will launch a card explaining what the object represents. To gather more information, they will need to work with someone who can hold the magnifying glass – by using both together the learner will get more information about the object. Once the learner places the objects they believe to be correct on the podiums they press a button to the side – the correct answers are highlighted in green and the incorrect ones in red. If there are any objects highlighted in red they must be removed and the correct ones sought.

 

2. Impact ranking: Place objects that represent different parts of the implementation process on podiums from least impactful to highest. As with the scavenger hunt when the learner picks up the object a card will appear in front of them with details of a particular impact i.e “RPA can improve data quality and accuracy by reducing the risk of human error and standardising data entry processes”. In addition to the correct answers there will be a number of incorrect answers. Once the learner places the objects, they believe to be correct on the podiums they press a button to the side – the correct answers are highlighted in green and the incorrect ones in red.

 

3. The data tracks: There are three data tracks, large, medium and small for both manual and RPA processing. The learner has the opportunity to move around the innovation hub on a track to help them feel the difference between an RPA data set which is fast and straight forward and a manual data set which is slower and less straight forward.

 
 

4. The process builder: At this station the learners will be asked to combine what they have learned during the three scavenger hunts and complete a full RPA implementation plan by once again arranging the correct objects on the three podiums. 

 

5. Data visualisation:  This is a dynamic data solution with a simple Bar Graph, object Visualizations, Light animations, Interactions with Data (& Data Views), Capability to dig into meta data and the Simple Filtering of Data. This station will give the learner an exceptional viewpoint of how data works.

 

6. Case study/elevator pitch: working as a team the learners will have a few minutes at the end of the VR session to review a case study for an organisation that is looking into applying an RPA process. They will work together to put a plan in place for how best to adopt RPA. Once they have that finalised, they will pick up a virtual phone and call the trainer/administrator in the real world to give their pitch.