A recent report by Survicate and Amplitude highlights the significant role of artificial intelligence (AI) in the realm of product research. With 65.2% of product professionals leveraging AI tools, the industry is witnessing a shift towards efficiency, even as concerns about data quality persist.

The collaborative study features insights from experts in product and user research from companies such as Cognism, Tidio, and Prowly. The use of AI is primarily driven by the need to expedite data analysis, identified as a major hurdle for 26.6% of respondents. Despite the advantages, 39.7% expressed skepticism regarding the accuracy of AI-generated insights.

Karolina Brach, Product Marketing Manager at Survicate, stated, “Our report reveals that AI has the potential to enhance researchers’ capabilities, provided it is used judiciously.” She emphasized that AI can significantly reduce the time spent on data gathering, thereby allowing professionals to focus on strategic decision-making.

In addition, the report underscores data fragmentation as a significant challenge, with 27.3% citing it as a barrier to effective user feedback analysis. This fragmentation illustrates the need for AI tools that can integrate and synthesize data from diverse sources efficiently.

Brandon Khoo, Senior Product Manager at Amplitude, remarked, “AI is on track to revolutionize product decision-making by serving as a research co-pilot.” He predicts that within the next three years, AI will offer proactive recommendations on feature development, further solidifying its role in product management.

This report not only sheds light on current trends but also paints an optimistic picture for the future of product research driven by AI technologies. Businesses keen on staying competitive should consider how AI can transform their research processes and improve product outcomes.