Engaging scenario-based training for players, and simple set-up for learning professionals

Many learning professionals realize the value and benefits of scenario-based e-learning, but don’t have the time or resources to build and incorporate them into their learning programs. With mLevel’s newest Path Finder game, we’ve introduced a ‘guided discovery’ learning method into our existing platform that provides an immersive learner-centric approach with a simplified set-up for busy learning professionals.

Flexible Structure Allows for Various Uses

Path Finder was designed to solve specific training needs that we identified within our existing Fortune 500 customers, including sales role playing, customer service and various types of HR training such as policies, procedures and compliance. However, our framework is robust enough to create scenario activities or simple certifications and assessments for most any topic.

In addition, Path Finder seamlessly integrates into mLevel’s award-winning learning platform, allowing learners to use the skills and knowledge they have gathered during other mission activities and apply these to a set of situational tasks. You can essentially use other mLevel games and activities to create incremental learning, and then assess players with a scenario challenge.

Example of Path Finder game flow.
Animated sample of mLevel’s new Path Finder game flow experience.

Engaging & Interactive for Users

Path Finder’s simple navigation and flow allows users to learn content in smaller, digestible chunks, while playing at their own pace. Players are highly engaged by real-time feedback (KPI-driven) based on their own choices, and can directly correlate how skills and knowledge will be applied in real-life situations. This type of scenario-based learning has been proven to help employees transfer their learning directly to their job.

Easy to Create

When scripting your scenario, start by choosing a topic and then challenge your learner’s assumptions by offering choices with consequences that they can relate to. Always allow for mistakes to be made, and provide a ‘second chance’ to prove that players have truly learned from earlier mistakes. Finally, be sure to keep your content short, simple, and on-topic to keep the user’s pace rapid and fun.

Example flowmaps
Using a flowmap helps plan for scene linking, feedback and scoring.

Once you’ve identified and scripted out your scenario flow, creating a new Path Finder game in mLevel is simple. We recommend starting with a flowmap of ‘scenes’ to storyboard your navigation paths, which can be linear or branching (or a mix of both). As mentioned earlier, we also recommend including a ‘preferred path’ and sub-optimal or incorrect paths, along with ways to move from one path to another based on the user’s choices. Our flexible scene structure allows you to build anything from mini-scenarios to a full-blown ‘choose your own adventure’ story branches with multiple endings – the possibilities are endless.

Add story and introduce characters through the use ‘panels’ that allow you to easily add and edit text (titles or descriptions), media (images or video) and decision points within each scene. Input your own questions with weighted answer options that allow for correct (100%), partially correct (50%) and incorrect (0%) credits. Then create specific feedback for each answer choice to help learners build memorable models that will transfer to their daily work tasks. Finally, link your decision points to the appropriate scenes or endings, as defined in your script.

Various panel types
Various panel types provide flexibility for telling stories, as well as adding context and feedback.

Built-in layouts with automated transitions add engagement and interactivity, allowing instructional designers to focus on the learning content – and not having to worry about the coding aspects of the game. The interface and layout is designed with mobile devices in mind, but plays equally well on web browsers.

Publish in Real-time

Our real-time publishing allows you to easily prototype and review your scenarios with a smaller test group. Simply make updates and test as needed. When you are finished with your game creation, select which group(s) within a mission will have access to the game and then click the ‘Publish’ button. The game is typically published in a matter of seconds, and is immediately available to players via both web player and mobile apps.

Identify Learning Gaps

As Path Finder moves into it’s production release, we are also adding powerful analytics capabilities that will allow administrators to see exactly where learners are failing within a scenario using our group report. Armed with this data, instructional designers can identify potential problem areas and adjust content or add incremental learning activities around specific learning objectives that employees are struggling to learn.

Gameplay Details report
The ‘Gameplay Details’ report provides stats for every decision point.

In the future, we’ll also add individual drill-downs and the potential ability to tag various items, attributes and/or values that align back to the topic knowledge base. This allows for a holistic view of all activity reports based on that respective learning data.

Benefits of Scenario-based Learning

While most corporate training programs are very linear in nature, the behaviors and skills needed to make good choices in a complex work environment are not always that shallow or obvious. Learning by doing things in context, and making mistakes in a non-consequential environment is actually more reflective of how people naturally learn. Using this method of simulating real-world experiences, players will learn by making decisions and seeing the potential consequences of their own choices, rather than passively reading or hearing about the information.

Overall, mLevel’s new Path Finder game showcases the use of applied learning strategies and is a great assessment tool that complements our existing games and activities. It helps create user engagement, and aids in making cognitive connections from new short-term learnings that correlate directly to familiar (long-term) tasks. Above all, it makes on-the-job training immediately accessible and experiential for anyone with access to a mobile device or web browser.

If you’re interested in learning more about mLevel or would like to play some sample games (including Path Finder), you can sign up for a free demo trial at

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Empowering learners Together

We’re excited to announce that we are now a part of the Axonify family. To all of those who have supported the MLevel journey, we thank you!  Here’s to the next chapter and to furthering data-driven learning.