Darshan Patel Reviewer
25 Nov 2025 01:32 PM
Approved
1. Relevance and Originality
The abstract addresses a highly relevant and contemporary topic, namely the growing influence of generative AI in product development processes. The discussion captures several emerging dimensions of human–AI collaboration and presents them in a way that aligns with current industry transformations. The work feels original in its holistic view of skill evolution, workflow redesign, and cross-functional interactions, although the abstract could more clearly highlight its unique contribution compared with existing research to emphasize what new insight the paper offers.
2. Methodology
The abstract provides a broad conceptual overview, but the methodological foundation remains unclear. Indicating whether the study relies on conceptual modeling, qualitative assessment, empirical analysis, or case-based exploration would help readers better understand how the conclusions were formed. Even a brief reference to the type of evidence or analytical approach used would strengthen the perceived rigor of the work.
3. Validity and Reliability
Many of the claims about AI capabilities and their impact on different stages of product development appear reasonable and align with current technological trends. However, without information on data sources, evaluation methods, or validation steps, it is difficult to assess reliability. Mentioning whether insights were drawn from industry observations, system implementation experiences, or comparative studies would enhance confidence in the conclusions.
4. Clarity and Structure
The abstract is articulate and presents a wide scope of ideas, but certain sentences feel overly packed with multiple concepts. A slightly more segmented flow, moving from the problem context to AI functions to organizational implications, would improve clarity. Simplifying some of the longer sentences would also make the content easier for readers to process.
5. Results and Analysis
While the abstract explains the thematic areas explored in the paper, such as workflow optimization, user behavior prediction, and cultural adaptation, it does not provide any specific results or analytical outcomes. Summarizing one or two key findings or observations from the full study would significantly strengthen the impact of this section. Concrete examples of improvements, trends, or measurable changes would help demonstrate the value of the research.
Darshan Patel Reviewer