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Analysis Study Research Paper | Computer Science and Engineering | Volume 15 Issue 3, March 2026 | Pages: 186 - 187 | India
A Practical Predictive Risk Scoring Framework for New Product and New Technology Introduction (NPI/NTI): An Industry-Informed Perspective
Abstract: New Product Introduction (NPI) and New Technology Introduction (NTI) initiatives frequently experience uncertainty, schedule deviations, and late-stage quality challenges. Despite the adoption of modern agile and DevOps practices, many organizations continue to rely on retrospective dashboards that are insufficient for proactive decision-making. This paper presents a practical and industry-aligned predictive risk scoring framework that integrates lifecycle volatility indicators, automation quality signals, and sprint execution metrics. Unlike purely technical machine learning models, the proposed approach emphasizes interpretability, managerial usefulness, and real-world deployability. A pilot analysis using anonymized enterprise data demonstrates that even moderately complex models can reliably anticipate release instability and improve governance outcomes. The work provides a balanced foundation for practitioners and forms an entry-level research contribution suitable for further academic exploration.
Keywords: NPI, NTI, predictive analytics, software delivery, product lifecycle, release risk
How to Cite?: Muskan Agarwal, "A Practical Predictive Risk Scoring Framework for New Product and New Technology Introduction (NPI/NTI): An Industry-Informed Perspective", Volume 15 Issue 3, March 2026, International Journal of Science and Research (IJSR), Pages: 186-187, https://www.ijsr.net/getabstract.php?paperid=SR26304025527, DOI: https://dx.dx.doi.org/10.21275/SR26304025527