01
Students decide
They select information within a limited budget, keep more than one plausible explanation alive, and record the condition that would justify changing the decision.
VORTEX UNIVERSITY LAB
Teach decisions. Not just answers.
A lecturer-led digital decision lab. Students work with evolving information, compare competing hypotheses, commit to decisions, and reconstruct their reasoning during a structured debrief.
A guided demonstrator is available now. The pilot scope is agreed with the academic unit and lecturer.
TEAM TRACE
RUN 04 / 05
01
New information
Conflicting institutional statement
02
Leading hypothesis
A system failure remains more plausible than deliberate action
03
Decision
Secure the area, commission an independent reading, avoid premature attribution
DECISION BRIEFREADY
1
complete scenario example on the site
2
roles: participant and facilitator
1
decision trace for debrief
Local-first
save and result export
METHOD
From information to decision. Then back to the reasoning behind it.
One shared method connects information selection, a leading hypothesis, a credible alternative, a course of action, its rationale, and the condition that would change the decision.
01
New information
02
Source assessment
03
Hypotheses
04
Decision
05
Replay
06
Debrief
02
Lecturers see the process
They define learning outcomes, facilitate each round, compare team traces, and turn the exercise into structured debrief material.
03
Assessment remains academic
The system structures sources, hypotheses, actions, and revisions. The lecturer approves feedback and final assessment.
FEATURED SCENARIO
One example. The full picture after you click.
We show one complete example on the site. The actual exercise runs in the Vortex application. Open the detail page to see the challenge, roles, four rounds, decisions, and outcome.
Available in the application
01
Scenario Pack
Fictional scenario
High Water 48H
Flooding, infrastructure, evacuation decisions
Diverging forecasts, a power disruption, and false alarms. Teams allocate limited resources and make protection and evacuation decisions in a fictional region.
Crisis managementPublic administrationPublic policy
View the full scenarioWant to run through the scenario in the application?
During a meeting, we open the pack, show participant and facilitator views, and walk through the decision trace used in the debrief. We can also agree a scenario adapted to a specific course or academic unit.
MATURITY
Clear scope at every stage.
We keep the demonstrator, pilot, and product direction distinct. The university knows what is available now and what requires a separate implementation.
NOW
Demonstrator
The working High Water 48H pack, four controlled rounds, participant and facilitator views, and local result export. No user accounts or dynamic branching.
PILOT
Lecturer-led lab
One Scenario Pack adapted to the syllabus, learning outcomes, cohort, and session format. The lecturer controls facilitation, feedback, and assessment.
DIRECTION
Dynamic Decision Simulator
Hosted multi-team sessions, server-side roles, dynamic scenario responses, and integrations require a separately agreed implementation scope.
PILOT PROCESS
One course. One decision problem. One measurable pilot.
The recommended planning window for one agreed Case Pack is up to 8 weeks after scope approval. Timing is confirmed following qualification.
01
Qualification
Course, cohort, learning outcomes, format, data, and organisational constraints.
02
Learning design
Student role, decision question, final outputs, and assessment criteria.
03
Scenario Pack preparation
Rounds, materials, hypotheses, action options, facilitator guide, and debrief plan.
04
Technical rehearsal
Room, devices, result export, and the complete delivery path with the lecturer.
05
Delivery and decision
Team traces, lecturer feedback, an individual transfer task, and the decision on the next step.
ENGAGEMENT MODELS
Scope first. Pricing second.
We do not publish a universal price because the scope depends on the scenario, session count, cohort, data, and level of adaptation.
01
Individual quote
Teaching Pilot
One course, unit, or cohort
Qualification, adaptation of one scenario, facilitator preparation, technical rehearsal, delivery support, and a pilot summary.
Available as a scoped project.
02
Individual quote
Multi-cohort Programme
Recurring courses or a university training centre
Repeat delivery, Scenario Pack versioning, preparation of additional facilitators, and an agreed update model.
Defined after a successful pilot.
03
Individual quote
Scenario Partnership
A discipline-specific university case
Design workshop, materials, source and licence register, expert review, acceptance criteria, and facilitator package.
Custom project after data and requirements review.
ACADEMIC CONTROL
Technology structures the process. Responsibility remains with the university.
Base scenarios use synthetic data. Public, archival, geospatial, or satellite materials are added only when their use is lawful, their source is explicit, and they answer a defined learning question. The system does not issue an automated student grade.
01
Synthetic data as a safe baseline
02
Explicit sources and material limitations
03
Assessment approved by the lecturer
QUALIFICATION
Let us see whether a pilot fits your academic unit.
Answer a few questions. We will use them to suggest the right scenario, pilot scope, and information required for a commercial proposal.
Do not submit student data, classified information, or confidential university materials through this form.