Sensitivity without a false best design
Sensitivity analysis shows how a result responds to assumptions; it does not decide which objective matters most.
How to use this idea
Our arithmetic example varies assignable-area ratios while holding gross area fixed. Report each scenario separately and identify what changed. A range of scenarios is not a probability distribution or a confidence interval unless the necessary statistical basis is supplied.
Worked illustration
For a synthetic 1,000 m² floor, ratios of 0.60, 0.70 and 0.80 yield 600, 700 and 800 m² assignable area. The highest figure is not automatically the best design: this model has no room layout or comfort evaluation.
All numerical examples here are synthetic, not measured building results.
Checks before relying on a result
- Change one input at a time before combining changes.
- Preserve the baseline and all stated objectives.
- Avoid turning unweighted competing objectives into one score.
What this does not establish
These authored scenarios measure arithmetic sensitivity only, not feasibility or outcome probability.
Sources and review
Automated editorial preparation, not independent expert review. Examples and proposed workflows are Maha-authored.
This page presents an authored protocol or elementary arithmetic, not a sourced engineering finding or professional standard.