What-If Scenarios

Coming Soon

Test counterfactual interventions against live simulations. Ask Shadow "what would happen if…" and receive projected outcomes with full confidence bounds — before making any changes to production.

Example Scenarios

Based on the current Revolut demo simulation, here are scenarios you could test:

Trim iOS Onboarding Friction

What happens to activation if we drop the extra confirmation step before first card provisioning for new iOS users in the UK?

Activation Slipping in the Core Market
L1 DeterministicL2 Statistical
+3.4pp 14-day activation · iOS UK
Coming Soon

This scenario will be available in the next release

Restore Android Notification Delivery

Model the recovery if Android 14+ notification delivery returns to prior levels, restoring the first-transaction nudge in the EEA.

EEA Activation Under Pressure
L2 Statistical
+2.6pp activation · EEA Android
Coming Soon

This scenario will be available in the next release

Prompt Investment Cross-Adoption

Simulate nudging new Metal users toward a first stock or crypto buy within 30 days of activation.

Investment Depth Cooling
L2 StatisticalL3 AI Simulation
+1.9pp investment adoption · US Metal
Coming Soon

This scenario will be available in the next release

Fast-Track KYC for Referred Signups

What if users who arrive via a funded referral skip one KYC step? Simulate the effect on first-deposit conversion.

Activation Slipping in the Core Market
L1 DeterministicL2 Statistical
+2.2pp first-deposit conversion
Coming Soon

This scenario will be available in the next release

How What-If Works

Counterfactual Branching

Fork any active simulation at a specific point in time and apply a hypothetical change. Shadow computes the divergent trajectory using the same statistical models.

Side-by-Side Comparison

Compare the baseline projection against one or more what-if scenarios. See divergence points, confidence intervals, and net impact in a unified view.

Traceable To A Layer

L1 bounds what the system makes possible, L2 computes the divergent trajectory. L3 explains the result in words when you ask — it never decides the outcome. Every scenario shows which layer produced what.

Explicit Uncertainty

Every scenario includes confidence bounds. If a what-if introduces too much uncertainty, Shadow flags it as SPECULATIVE rather than presenting false precision.

Scenario Simulation Flow
1Define InterventionWhat change to test
2Select SegmentsWhich cohorts to simulate
3Run SimulationL1 → L2 · L3 on request
4Compare OutcomesBaseline vs scenario
5Export DecisionShare with stakeholders
Shadow — know what happens next, before it happens