1. Review
What should the workflow help a person do?
Review the situation before the video pauses.
Demo example
Define the human outcome before an AI workflow starts.
Choose the outcome this AI workflow should support.
How it was built
The viewer's choice controls the route
Mindstamp saves selected route, opens the matching scene, and keeps the response in the session recap.
- Buttons
- Video branching
- Viewer variables
What it does
Ask which outcome the team wants from interaction data.
This is a workflow illustration. It does not call Contextual, analyze real viewer data, score a lead, send outreach, or configure an integration.
Inside the experience
What the viewer does
The video gives each interaction a clear job in the route.
2. Choose
Select an answer
Choose Recommend the next resource, Prioritize sales review, or Flag a response for review.
3. Follow
See the result
The video opens the matching scene and carries selected route 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.
- Selected Route
- 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.
Demo
Run the Platform Fit Check
A feature list is useful only after you name the job. Run this fit check for a compliance team.
Watch →Demo
AI Video Differentiation Pass
A generic AI-presenter clip explains three product areas. Choose the change that would make it useful for one viewer.
Watch →Demo
Vimeo Embed Troubleshooter
A Vimeo embed can fail in several ways. Select the symptom to find the first check.
Watch →Build one like it
Start from a video you already have
The interactions were added on top of an existing recording.