To improve occupant comfort, productivity, and well-being, this study presents a few quick numerical computation models for indoor environmental quality (IEQ) asset assessment. The suggested models provide effective and accurate evaluation of each of the four fundamental dimensions—thermal comfort, indoor air quality (IAQ), visual comfort, and acoustic comfort—allowing for a more comprehensive knowledge of IEQ across different building zones. The thermal comfort is assessed using the Predicted Mean Vote (PMV) model, considers factors including air temperature, mean radiant temperature, humidity, and air velocity while for IAQ the CO₂ concentration is computed by modelling infiltration rates and various ventilation systems. Acoustic comfort is measured by sound pressure levels and reverberation times, whereas visual comfort models analyze glare, daylight factor, and illuminance. Significant differences in IEQ between building zones are shown by the quick calculation models created in this study, which also enable customized weighting schemes for building types—like offices and classrooms—to represent different needs. These models enable design methods that give occupant-centered environments priority by offering a useful framework for evaluating IEQ assets. A case study at Frederick University will be used to further validate the suggested model and provide useful insights and application results.