Pradeep Gupta, Managing Director of Axis My India, detailed the firm's data-driven framework and sampling methods in an interview with NDTV.

The discussion arrives as public and media scrutiny increases regarding the credibility and accuracy of exit polls in India. Because these projections often shape public perception before official results, the transparency of the methodology is critical for maintaining trust in electoral data.

Gupta said that Axis My India utilizes a face-to-face survey methodology to gather data. The firm employs a constituency-wide sampling approach to ensure the data reflects the diverse demographics of the electorate. This framework is designed to provide a more accurate snapshot of voter behavior than remote polling methods.

During the interview, Gupta addressed concerns regarding the funding of the organization. He said the firm's financial transparency counters questions about potential biases in the polling results. The conversation focused on how the firm maintains independence while conducting large-scale surveys.

These explanations were centered on the period of the 2024 [1] Lok Sabha elections. Gupta said how the firm navigates the complexities of the Indian electoral landscape to produce its projections. He said that the credibility of exit polls depends on the rigor of the field work and the data-driven nature of the analysis.

By explaining the internal processes of Axis My India, Gupta aimed to provide a window into how the firm handles sampling, and data verification. The interview served as a response to the broader debate over the reliability of polling firms during high-stakes national elections.

Axis My India utilizes a face-to-face survey methodology to gather data.

The focus on methodological transparency highlights a growing tension between traditional polling and the actual outcomes of Indian elections. As polling firms face more criticism for inaccuracies, the shift toward explaining constituency-wide sampling and funding sources is an attempt to legitimize data-driven projections in a volatile political environment.