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
Choose an evaluation lens
Select Kirkpatrick Level 3, Phillips ROI, or the Success Case Method and see the evidence each approach needs.
Watch →Training
Choose the right evaluation question
Choose learner reaction, workplace behavior, or a business result and open a sample question for that goal.
Watch →Training
Run the active recall check
Read a three-part service brief, then recall the detail that controls entry after the brief clears.
Watch →Build one like it
Start from a video you already have
The interactions were added on top of an existing recording.