Immediate understanding
“What does it mean, concretely?”
This page turns your indicators into actionable explanations: why a result is good (or bad), which parameters dominate, and which decisions become logical (adjust, negotiate, walk away, optimize).
What the AI explains (structure)
A good explanation is always structured: observation → cause → impact → action.
Sample questions (copy-paste)
Decision-oriented questions, not “theoretical” ones.
Why is my cashflow negative?
Break down income vs expenses vs debt. Give 3 actions ranked by impact.
Which parameter influences my return the most?
Rank sensitivities (rates, rents, expenses, vacancy) with explanations.
Which scenario is the most robust?
Compare conservative/central/optimistic and explain the dominant risk.
Example explanations by indicator
Each indicator should be explained with: simple definition, thresholds, causes, actions.
- Negotiate the price or improve financing
- Optimize income (rents/extras) or reduce expenses
- Add a realistic “vacancy/maintenance” margin
- Compare to the market (neighborhood/comparable asset)
- Validate expenses (taxes, insurance, maintenance)
- Test a realistic “rent increase” scenario
Move from explanation to action
A useful explanation should end with a decision: optimize, negotiate, or walk away. The AI Coach guides you with thresholds and recommendations.