A recent report by Survicate and Amplitude highlights the substantial role of artificial intelligence (AI) in product research. With 65.2% of product professionals now employing AI tools, the technology is reshaping how companies analyze data and make decisions. This report is based on insights gathered from experts in firms such as Cognism and Tidio, providing a comprehensive overview of AI’s impact on the industry.

The study reveals that, while AI enhances efficiency, challenges remain. Approximately 39.7% of respondents express concerns over the accuracy of AI-generated insights, pointing to the necessity for teams to approach AI adoption thoughtfully. Moreover, 26.6% highlighted time-consuming data analysis as a critical barrier in their research processes.

Karolina Brach, the Product Marketing Manager at Survicate, emphasizes that when used wisely, AI can significantly enhance a researcher’s capabilities. By automating labor-intensive tasks, AI allows professionals to concentrate on strategic decisions that will affect their products’ success.

The report also identifies data fragmentation as a major hurdle, with 27.3% noting it impedes effective insight extraction. Hence, the potential for AI to integrate and analyze fragmented data is vital for companies aiming to leverage user feedback effectively.

Brandon Khoo from Amplitude predicts that in the next three years, AI will act as a co-pilot in product development, ensuring teams benefit from enhanced sentiment analysis and proactive recommendations for future features. This transformation signifies not just an operational shift but the potential for AI to become an integral part of product teams.

In summary, the extensive use of AI in product research is producing remarkable changes in data analysis and decision-making. However, addressing concerns over data quality remains critical as companies navigate this technological landscape.