Designing Pharmaceutical Forecast Models That Actually Work

They tend to manifest differently. Model problems look like assumptions that cannot be challenged, a structure only the original builder can operate, complexity the data does not justify, or outputs that cannot answer the decisions. Process problems look different: a technically sound model nobody uses consistently, scenario outputs produced but never fed into decisions, or stakeholders bypassing transparent assumptions to plug in numbers they want. That last one is a governance failure, not a modeling one. The diagnostic question is whether the function has the right model with appropriate methodology, standardized outputs, and transparent assumptions. If not, the model needs rebuilding. If it does but those standards are not followed, the problem is ownership and governance, and rebuilding will not fix it.