Heat is one of the most detrimental stress affecting chickpea (Cicer arietinum L.) yields during the reproductive stages. Multi-trait genotype-ideotype distance index (MGIDI) conducted to assess the performance of chickpea genotypes under heat stress conditions indicated strong correlations between MGIDI values, highlighting the impact of environmental conditions on chickpea performance. Advanced multivariate techniques were utilised, including Principal Component Analysis (PCA) and Factor Analysis (FA), to streamline trait selection and genotype identification. FA effectively reduced the dimensionality of the measured traits, simplifying interpretation and decision-making for breeders. The MGIDI emerged as a superior index compared to Heat Susceptibility Indexes (HSI) for selecting genotypes with desirable genetic gain for traits. MGIDI's ability to account for multicollinearity addressed a common issue in breeding experiments with correlated data. Genotype rankings based on the Multivariate Stability Trait Index (MSTI) using MGIDI identified stable genotypes, especially under heat stress conditions. Specific genotypes, including IG5999, IG5875, IG5851, IG 5868, IG5993, and ILC5588, exhibited notable stability and desirable traits. These genotypes hold potential as parents for future crossbreeding programs, aiming to create ideotypes that combine diverse favourable traits.