Here, users are sorted into different teams, each with a different role and relationship to the scenario. Teams can have different interests and goals, but can also be given different information, thus necessitating collaboration across teams if users want the full picture.

Teams and roles immerse users more deeply into the subject matter, and are perfect when reflecting complex topics where different groups of people have different perspectives or interests.

Users tackle a shared dilemma with pros and cons, and decide on an approach together. Similarly to scenario-based learning, each choice provides an opportunity for discussion.

Instead of a single, complex scenario branching and branching from each choice, a series of smaller, contained dilemmas is a practical, economic way to engage users around a set of complex questions within the same overall theme.

Our simulations leverage simple numerical variables to simulate different systemic interactions, from balancing a budget to keeping a variety of interest groups happy, or whatever else you can imagine.

Simulation scenarios are often about challenging users to find the most “optimal” approach to a situation, but still allows for much discussion on how to prioritize different variables.

Not all DiBLs have to center around scenarios and fictional narratives. Create workshops that involve and engage participants, and allow for robust information gathering. Combine well-known formats like word clouds and rating user-submitted ideas with dilemmas that leverage our powerful branching and variable-tracking tools, into employee and student workshops more engaging, and tailored to information gathering, than what is otherwise possible in similar solutions.

For each question, you decide whether results are shared with the group for discussion and voting, or submitted anonymously, for facilitators to analyze later.

The core interaction most DiBLs are built on is voting on questions – whether picking between pre-defined approaches for a problem, or between user-submitted suggestions for any number of questions.

Voting is quick and easy, and you can always choose whether to show the results of a vote to the class. Different types of votes can be set up, allowing for e.g. multiple answers, or representing options as images instead of text.

Combine multiple questions, using both predefined and user-submitted answers, and you have a survey. Use DiBL’s robust branching and variable-tracking tools to structure the content, rather than to unfold a story or scenario, and lean into our information gathering and data analysis tools.

Combine questions where answers are shared with the group, to facilitate discussion, with questions where answers are private, to allow each user to answer honestly and safely, and you have a learning tool that works on multiple levels.

Data is summarized into a PDF report immediately after a session ends, but can also be analyzed through our dashboard, or exported as an .xml file later, for full statistical analysis.

Make live assessments with feedback that is based on participants’ responses throughout including links to additional readings and materials.

In assesment we don’t just have right answer as we can score answers somewhere in between “right” and “wrong”.

During assessment you also have the ability to open or close specific branches in an assessment based on all participants responses or take participants down a specific branch.

On top of everything else, you can also use DiBL to make most of the quizzes that you know and expect, and build on these traditional formats.

Instead of answers just being right or wrong, you can also score them based on how wrong or right they are. You can have scores be individual, shared across teams, or shared for the whole class – or even combine these.  Create a co-op quiz, where you compete individually, but are punished or rewarded collectively if any user, or a majority of users, pick certain critical options along the way.