Tourism Investment Assessment Platform & Spend Prediction 

Client: Federal Tourism Agency, 2023–2025

Role: Design and Solution Delivery Lead

Collaborators: UX/UI Designers, Project Managers, Product Owners, Executive Stakeholders, Solution Developer, Data Engineers, Data Scientist and Economist

Objective

The agency sought to develop advanced, data-driven products for market segmentation and spend forecasting. While an initial MVP existed, low usability created a critical gap in the user experience. I was brought in to lead a new design approach that would transform complex data into a reliable tool for strategic investment decisions.

The Design Solution and the Value Created

I orchestrated a cross-disciplinary team, including Economists, Data Scientists, and Cloud Engineers to ensure a user-centric outcome within a constrained Agile delivery timeline.

• Persona-Led Prioritization: To mitigate "insight overload," we shifted from "cover-all" features to a persona-led strategy (Investors and Destination Stewards). We synthesized interview insights to establish core product objectives, which directly guided the data modeling requirements.

• Narrative-Driven IA: We mapped the data and insights narrative flow, creating a blueprint for a GIS-powered segmentation platform. This ensured that geospatial analytics were intuitive and adhered to the initiative’s brand guidelines.

• Strategic Governance: I maintained a regular cadence with the Steering Committee to secure alignment. By participating in PI planning and backlog management, I created a roadmap for future scaling, including the later integration of automated Machine Learning models.

Outcome

The outcome successfully drove increased user traction and interest. By empowering users with intuitive geospatial analytics and near real-time insights, the solution enabled data-driven investment and resource planning and accelerated innovation.