<p>Material selection is a crucial stage in engineering and manufacturing processes which effects the sustainability, cost and performance of a product. The present work proposes a user centered hybrid methodology for material selection by incorporating Quality Function Deployment (QFD), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Entropy, and Sensitivity Analysis. Quality Function Deployment (QFD) is used to identify customer needs and rigorously correlate them with material characteristics, assuring congruence with functional goals and user pleasure. The Entropy approach is employed to ascertain objective weights for material properties, minimising subjectivity and improving the dependability of the decision-making process. The weights are obtained by using compromised weighing method for equitable assessment. TOPSIS is used to evaluate material options by measuring their closeness to the optimal solution, considering both positive and negative performance parameters. This method efficiently prioritises materials that satisfy material performance criteria. Sensitivity analysis helps to assess the model’s robustness, identify key alternatives, and analyse the impact of changes in criterion weights. This step verifies the suggested framework’s stability, elevating decision-makers’ confidence. A case study from the literature is being used to exemplify the practical application of the framework. The results of the study indicate its effectiveness in helping designers all through the conceptual design process, enabling the choice of best materials and necessary substitutes and so satisfying user expectations and sustainability standards. In complex engineering areas, this comprehensive technique provides a consistent and flexible tool for material choice.</p>