Overview

How AI scales market intelligence

A leading university institution with a strong focus on innovation and nationwide presence sought to transform how it gathered insights about prospective student experiences. The goal: reliable, scalable data to support strategic decision-making.

The challenge

Automating market research without losing quality or human oversight

Market research was conducted manually, requiring significant time, high operational costs, and offering limited scalability. Additionally, different markets and channels demanded a flexible, multi-channel approach without compromising data quality.

The challenge was to automate research while preserving natural interactions, accuracy, and human control.

The solution

An AI-powered Mystery Shopper platform built for education

We designed an intelligent Mystery Shopper platform tailored for the higher education ecosystem.

The solution enables:

• Creation of proto-personas that emulate behavior, tone, and communication style.

• Design of multi-channel campaigns adapted to different markets.

• Definition of research objectives and educational entities to be analyzed.

Automated conversations powered by LLMs and GenAI, with business rules that return control to human operators when required.

The architecture prioritizes natural dialogue, traceability, and human supervision as a core principle.

Key Outcomes

Responsible AI delivering accuracy and scalability

• Automated research conversations can be generated without being identified as virtual assistants.

• Results achieve a high level of accuracy, aligned with defined objectives.

• Human-in-the-loop control, guided by business rules, minimizes risk and improves output quality.

The platform enabled:

• Scalable market research for higher education.

• Reduced operational effort while maintaining analytical depth.

• Standardized data collection across multiple channels and contexts.