A joint report by Survicate and Amplitude reveals significant use of artificial intelligence (AI) in product research, with a strong inclination towards faster processes despite concerns over data quality.
Survicate, a customer feedback platform, in collaboration with digital analytics platform Amplitude, has published a detailed report on the influence of AI in product research. The study includes insights from product and user research experts from companies such as Cognism, Tidio, Text, Amplitude, and Prowly.
According to the findings, 65.2% of product professionals are currently employing AI tools in their research activities. Additionally, 26.6% of respondents cited time-consuming data analysis as their principal challenge in product research. Despite the broad adoption of AI, 39.7% of professionals are concerned about the accuracy of AI-generated insights.
Survicate is a customer feedback platform that helps digital businesses better understand their users and improve their products and services based on user insights. It offers advanced tools for creating custom surveys across multiple channels, including email, web, in-product, and mobile apps. The platform serves over 1,500 customers globally, helping teams in various industries to capture authentic user feedback.
Karolina Brach, Product Marketing Manager at Survicate and lead researcher of the project, remarked, "Our report uncovers some promising predictions, but the key takeaway is that AI can definitely make you a better researcher - as long as you use it wisely." Brach further elaborated, "While there are still concerns about AI-generated insights, we found that it has real potential to speed up data analysis. Think of AI as a skilled assistant handling the time-consuming tasks, allowing you to focus on the critical decisions that shape your product."
The report also pinpoints data fragmentation as a primary obstacle in extracting user feedback insights, with 27.3% of respondents highlighting it as a significant barrier. This underlines the potential value of AI in swiftly analyzing and consolidating data from various sources.
"In the next three years, AI will fundamentally transform product decision-making by acting as a research co-pilot, effectively becoming a trusted member of the product development team," stated Brandon Khoo, Senior Product Manager at Amplitude. He added, "While this is just the beginning, we're already starting to see a multitude of tools that not only enhance sentiment analysis and trend identification, but also provide proactive recommendations on what features to build."
The comprehensive report provides an in-depth analysis of the current state of product research, the impact of AI, and predictions for the future.
