The reliability of a feasibility model depends heavily on the quality of input data. Construction costs, sales values, timelines, and financing assumptions must be realistic and well-researched. Incorrect inputs can lead to misleading outputs and poor investment decisions. Feasibility analysis does not eliminate risk, but accurate inputs help quantify it. Developers who regularly update assumptions and validate data produce more reliable forecasts and reduce unexpected financial outcomes.