1. Review
Choose the Training Revision
Most learners complete the module, but 48% miss the same handoff question and the related work error persists. What should the team test next?
Training example
Choose a training revision from viewer evidence.
Data-driven training means choosing an action the evidence can support. Decide what to test next.
How it was built
The viewer's choice controls the route
Mindstamp saves revision choice, opens the matching scene, and keeps the response in the session recap.
- Buttons
- Video branching
- Viewer variables
What it does
Review the completion, answer, and work signals before you choose.
The illustrative data supports a hypothesis, not a causal claim.
Inside the experience
What the viewer does
The video gives each interaction a clear job in the route.
2. Choose
Select an answer
Choose Revise and retest the handoff practice, Replace the entire program, or Celebrate the completion rate.
3. Follow
See the result
The video opens the matching scene and carries revision choice into the recap.
What it reports
Each interaction is measured
- Viewer choice
- The report stores the answer selected in the decision scene.
- Result route
- The session shows which result scene opened after the choice.
- Revision Choice
- The recap keeps the saved value with the viewer session.
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.