One of those digital things

Thinknube.AI

ThinkNube is an AI-powered market research SaaS platform developed by Nube Research. The platform allows companies to create conversational research studies using an AI agent that interviews participants through channels such as WhatsApp, Instagram, or direct links. The product automates processes that traditionally require research agencies, manual interviews, and long analysis cycles. Teams can design studies, reach participants, and analyze insights within a single platform.

ROLE

Product Designer

PROBLEM

Companies often rely on expensive research agencies or data-only tools that lack real interaction with consumers. ThinkNube addresses this by combining artificial intelligence with real consumer interviews.

RESULTS

AI-powered research MVP delivered

Automated conversational interview system

Study creation & analytics dashboards built

Human-centered AI insights workflow

Approach & Vision

The approach focused on balancing AI automation with a clear and intuitive user experience. Product flows were designed for study creation, audience segmentation, and insights analysis. I worked on product architecture, study creation flows, dashboard design, and the overall visual direction of the platform.


The vision was to democratize access to market research, enabling companies of any size to gather real user insights quickly without relying on traditional agencies. The design focused on clarity, professionalism, and trust while maintaining the simplicity of a modern SaaS platform.

The Challenge & Design Solution

A key challenge was structuring complex research parameters such as segmentation, quotas, and response validation into a simple configuration flow. The platform needed to manage multiple variables within a single experience without overwhelming users.


Users can define objectives, select audiences, configure parameters, and monitor responses in real time. Quality control tools help detect unreliable answers. The system also includes response quality monitoring and analytics dashboards.

Key Results

The result was a solid MVP of an AI-powered research platform capable of automating interviews and generating structured insights. The product combines automation with a human-centered approach, using AI to facilitate research while preserving real consumer feedback.