Case 04 · IQ — AI · Data Intelligence · Complex Systems
IQ — Public Policy Intelligence
A data intelligence platform that consolidates scattered indicators, sources and records into traceable readings for high-stakes institutional decisions.
- Role
- Product Designer
- Category
- AI · Data Intelligence · Complex Systems
- Status
- Designed and developed · currently in a testing environment
- Project
- Visit project Interface in Portuguese — built for Brazilian public-sector institutions
- AI
- Data Intelligence
- Complex Systems
- Decision Support
Overview
IQ is a data intelligence platform that brings together indicators, sources and evidence so complex programmes can be understood and compared. It is built for a public institution, where provenance and comparability are non-negotiable.
I worked as Product Designer on the product structure, navigation model, data presentation patterns and interface design.
The Challenge
Policy-relevant information is spread across different sources, formats and levels of detail. Decision-makers need consolidated readings, while technical teams need the underlying records.
The challenge was to design a single product that serves both without turning into an undifferentiated dashboard.
Context
The platform is developed in an institutional context where outputs support public decisions, which makes provenance, comparability and clarity core product requirements.
Users & Stakeholders
Several profiles use the platform with different questions and different levels of technical fluency.
- Policy analysts and technical teams working with indicators
- Programme managers monitoring policy execution
- Institutional decision-makers reading consolidated overviews
- Researchers looking for comparable evidence
Product Strategy
The strategy was to organise the product around questions rather than data sources: start from an institutional reading, then allow progressive descent into indicators and individual records.
Information Architecture
Policies, indicators, territories and time periods form the shared backbone of the product, so every view can be cross-referenced and every aggregate stays one step away from its records.
User Flows
Users enter from an overview, a filter or a specific indicator, and can always move between consolidated views and detailed evidence without losing context.
Key Design Decisions
- Consolidated views always expose the data behind them
- Comparison designed as a first-class action, not an export
- Progressive disclosure between institutional and technical readings
- Explicit treatment of missing and partial data
AI / Human-AI Interaction
Where automated processing supports interpretation, the interface presents it as an aid: what the system used, what it inferred and how the user can adjust or discard it.
What collaborators say
One of the most proactive and organized professional I know. I had the opportunity to be part of two projects with Ayrton and both times he immediately organized the tasks and directed the team. He played a fundamental role as a good leader and, whenever necessary, made himself available to help teams with tasks that were not necessarily his direct responsibility. He is also a very studious and communicative guy, and at every opportunity he came with new knowledge to add to the teams. It was a pleasure working with you, Ayrton.
Design System
Shared patterns for indicator cards, charts, filters, tables and detail views keep a data-dense product visually calm and consistent across modules.
Accessibility
Charts are paired with tabular alternatives, navigation works from the keyboard, contrast and focus states are explicit, and colour is never the only carrier of meaning.
Final Product
The platform has been designed and developed and is currently in a testing / homologation environment.
Impact & Results
- Indicators, sources and policy records connected so every reading can be traced back to its origin
- Evidence-firstIndicators, sources and policy records connected so every reading can be traced back to its origin
- Structured for different audiences, from technical teams to institutional decision-makers
- Multi-profileStructured for different audiences, from technical teams to institutional decision-makers
- Scattered policy data reorganised into consolidated views designed for institutional decisions
- Decision supportScattered policy data reorganised into consolidated views designed for institutional decisions
Learnings
Institutional data products succeed when they make the distance between a summary and its evidence short and visible.
Screens & Flows
