How to Predict Customer Reactions with AI-Powered Synthetic Respondents

Artificial Intelligence is transforming the way companies understand their customers, enabling faster, smarter, and more cost-effective decision-making. Across industries, from fintech and retail to mobility and consumer goods, businesses are leveraging AI to decode customer behavior, accelerate product innovation, and improve the overall customer experience.

One of the most significant breakthroughs in this field is the rise of synthetic respondents, AI-driven virtual participants that simulate human decision-making. These digital personas allow companies to test product concepts, pricing strategies, marketing campaigns, and service features without the delays and costs of traditional research methods.

Decoding Customer Decisions at Scale

UK-based company Duamentes has launched Synthetic Respondents, an AI-powered platform that delivers 50x cost savings, 90% accuracy, and a 95% faster decision-making process. The platform allows businesses to reduce research timelines from six weeks to just one day and cut costs from $50,000 to $1,000 per project, all while providing deep, reliable insights.

“Businesses no longer need to spend weeks or significant budgets to understand their customers. With Synthetic Respondents, decision-making is instant, scalable, and more accurate than ever before,” said Ksenia Sternina, co-founder of Duamentes.

Built on eight years of proprietary research, one million survey responses, and 50,000 in-depth interviews across 35 countries and 40 industries, Synthetic Respondents models real-world consumer behavior. Its predictive insights go beyond conventional analytics, helping businesses anticipate customer needs and fine-tune offerings before launch.

As Anastasia Tretyak, Senior System Manager at NVIDIA, notes:

“Synthetic respondents draw on years of UX research and behavioral data, offering product teams a powerful foundation for early decision-making. Most importantly, they make it possible to scale research efforts efficiently—without scaling costs or timelines.”

How Synthetic Respondents Work

The platform uses a dual-layer AI model to ensure both adaptability and accuracy:

1. General Human Behavioral Patterns – Identifying key decision-making drivers across industries.

2. Market-Specific AI Validation – Optimized with proprietary research to refine insights for specific sectors, trends, and economic shifts.

3. Continuous Learning & Testing – Regular updates with real-world data ensure reliability and business readiness.

Businesses submit queries via text, voice, or file format. The AI analyzes patterns in purchasing decisions, preferences, and reactions to scenarios, creating synthetic respondents that mimic real customer decision-making. Models are validated against historical outcomes and presented with a data accuracy index, giving teams confidence in their insights.

Implications Across Industries

The ability to decode customer decisions in real time is reshaping consumer-focused industries. Retailers can optimize promotions or store layouts before rollout, fintech companies can anticipate reactions to new financial products, and mobility firms can fine-tune pricing or features to enhance user satisfaction.

By providing fast, reliable, and scalable insights, AI-powered synthetic respondents, like Duamentes explains, allow companies to launch better products, minimize development risks, and deliver exceptional customer experiences. Analysts see this technology not just as a cost-saving tool but as a strategic enabler that empowers businesses to innovate at pace and stay ahead of market trends.

Looking Ahead

As AI continues to evolve, synthetic respondents are expected to simulate increasingly complex human behaviors, including emotional and social dynamics. For businesses, this means faster insights, lower costs, and more confident decision-making at scale.

With platforms like Duamentes Synthetic Respondents, companies can finally decode customer decisions, iterate smarter, and deliver experiences that truly resonate, ushering in a time of AI-driven market research.