Have you tried playing one of our simulation games? If you have, you know that throughout a scenario you make about 40 choices concerning management and leadership. This gives you as a player some valuable insights into how you have handled the challenges in the game. But with our data tool, we dig much deeper into the data.
Comparison Between Industries
Since 2010 we have been collecting the data from our game-simulations and have gathered millions of game choices, which have created a solid foundation for comparison – for example between different industries.
The data are anonymous but are sorted by industry areas. This means that you can choose an industry you are part of or think would be interesting to compare your own organization to and then look into the similarities and differences in theoretical approaches to leadership and change management. For example, you will be able to see the distribution in percentage between management and leadership choice. The management choices drive the change, while the leadership choices drive your stakeholders – so this gives you insights into how you can steer you change process better. This feature is also available at a personal profile level.
If Your Company Has a Hub
You will get valuable access to session data that potentially will add value to your strategic data-driven Learning & Development decisions. You will be able to measure sessions against another session of your company and even measure those specific data sets against your own industry or other industries you find related.
This will give you a direction in terms of your focus for your next learning interventions or just raise a flag, for example if a specific session (from a department of your company) deviate from the rest. If you find a correlation between the leadership profiles and the business results, this might be something you would like to look into.
You will also be able to see collective leadership profiles and decision profiles enabling a dialog regarding specific pros and cons within a specific theoretic framework. This can lead to a decision on how to make a shift towards a more shared leadership value set within your company.
For example, playing an ActeeLeadership scenario will add data about, which of Daniel Goleman’s leadership styles you draw on the most, while playing an ActeeChange scenario will let you see, which kind of management and leadership choices you prefer when steering a change process. In our ActeeCommunication scenarios, it is about different styles of communication with stakeholders, and your profile gives you an overview of which styles you prefer.
The data also allows you to look into what your choices say about your theoretical approach. The data might point out the fact that in 8 out of 10 options you prefer choices build on Rick Maurer’s theory. This will tell you that your focus on resistance is strong, but might also be a pointer that other areas need your focus.
In every game-simulation you play, each choice gives a certain amount of points, and at the end of the game you receive your final score. You can choose to make this score public for other platform users to see, and you can compare your own score to others, who for example, have also played the ‘Destination CRM’-game. This data feature can also be used by consultants. If you teach a workshop with several groups, you can use the function to see which group has the highest score and this can facilitate different discussions.
It is also possible to see a list of the choices most often taken and most seldom taken based on all the users, who have played a specific game scenario.
For consultants, it can be useful to use all of the above-mentioned features to facilitate discussions in workshops or to use as a post-element as part of a learning process, where the participants get to look into their choices and scores and maybe compare with each other. The consultant might also compare different sessions in order to see how different departments, for example, make choices and draws on different theoretical approaches.
Our data are kept safe and secure through offsite backups and traffic encryption.
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