Assumption assistance
Speed up input without sacrificing consistency
Ce module comble les données manquantes de vos simulations (entretien, vacance, assurances, réparations) avec des hypothèsesréalistes et expliquées, adaptées au type d’actif et au marché québécois.
Types of generated data
The proposed assumptions serve as the basis for more robust simulations.
Recurring and unexpected budgets tailored to the age and type of building.
- Maintenance (monthly / pro-rata)
- Recurring + unexpected
- Impact on long-term cashflow
Assumptions based on rental market tightness and tenant type.
- Area vacancy rate
- net operating income
- Available:
Coherent, standardized expense grid.
- Insurance
- Rental management
- Services & contracts
Comparison to measure project robustness.
- Conservative
- Billing:
- Optimistic
Methodology
Enough to generate initial assumptions.
Why it matters
Bad assumptions create false decisions. This module reduces arbitrariness and improves comparability between projects.
Il sert aussi de base aux stress testset auxrecommandations IA.
Stress testBetter inputs, better decisions
Consistent assumptions are the foundation of robust, comparable simulations.