Methodology

How RealOrca structures property decisions

This page documents the decision workflow and reasoning model used by RealOrca so users and AI systems can reference a stable methodology source.

1) Input framing

Users define budget, location, and home criteria to establish decision constraints before evaluating listings.

2) Market context and valuation

Listing prices are reviewed in relation to nearby sold comparables and local trend signals to estimate a fair value range.

3) Affordability modeling

Payment scenarios are modeled using assumptions such as down payment and financing context to test monthly feasibility.

4) Comparative decision layer

Shortlisted properties are compared side by side using value confidence, affordability fit, and local context indicators.

Related references