1. Decide
Handle the return
The learner chooses the first desk action.
Training example
A two-step practice path shaped by the first decision.
Handle a return without a receipt and follow a policy review, guided practice, or exception case.
How it was built
The first answer selects the next case
The route saves the initial decision, opens targeted practice, and records the follow-up action.
- Buttons
- Video branching
- Viewer variables
What it does
The scenario uses explicit branching for a transparent learning path.
It does not claim adaptive AI diagnosis.
Inside the experience
What the viewer does
The video gives each interaction a clear job in the route.
2. Practice
Open the matched case
The answer selects policy review, guided practice, or an exception.
3. Confirm
Complete the follow-up
A second action records how the learner applied the route.
What it reports
Each interaction is measured
- First decision
- The report stores the original returns desk action.
- Learning route
- The session shows which practice case opened.
- Follow-up result
- The second action remains with the first answer.
More examples
See what else is possible
Each related page contains a published example you can use.
Training
Branching safety training
See how Dräger uses hotspots, branching, and downloads to let viewers explore hydrogen detection solutions in one interactive video.
Watch →Recruiting
Career recruiting
A Swiss recruiting firm lets candidates explore different career paths, then leave their details.
Watch →Entertainment
Choose-your-own-adventure film
An interactive horror film by The Count’s Den. Viewers choose what happens next.
Watch →Build one like it
Start from a video you already have
The interactions were added on top of an existing recording.