Designing a Research Intelligence Platform for Data-Driven Decision Making

Designing a Research Intelligence Platform for Data-Driven Decision Making

ROLE - SENIOR PRODUCT DESIGNER

RESPONSIBILITIES

UX Research

User Experience Strategy

Information Architecture

User Flows

Wireframing

Interface Design

Stakeholder Collaboration

TEAM

Product Manager

Engineering Team

Research Team

Content Team

OVERVIEW

OVERVIEW

Scientia is a digital research and economic intelligence platform designed to help professionals, analysts, researchers, and decision-makers access economic insights, datasets, publications, and expert content from a single ecosystem.

The challenge was to create a platform capable of organizing large volumes of information while enabling users to quickly discover, consume, and act on relevant insights.

UI DESIGNS

UI DESIGNS

Prototypes emphasized:

  • Clean, modern layout

  • Strong typographic hierarchy

  • Friendly, professional colors

  • Easy access to articles, datasets, and podcasts

THE CHALLENGE

THE CHALLENGE

Research content was distributed across multiple channels, making it difficult for users to discover relevant information efficiently.

Users often struggled to navigate across datasets, reports, articles, and multimedia content, resulting in fragmented experiences and reduced engagement.

The organization needed a centralized platform capable of:

Improving content discoverability

Supporting multiple content formats

Simplifying data exploration

Encouraging continuous engagement

UNDERSTANDING THE PROBLEM

UNDERSTANDING THE PROBLEM

To better understand user behavior, I worked closely with stakeholders and conducted discovery activities.

Research Activities

User interviews

Stakeholder workshops

Competitive analysis

Content audits

Journey mapping

WHAT WE LEARNED

Information overload reduced engagement

Users often felt overwhelmed when presented with large volumes of content without clear pathways.

Navigation lacked context

Users struggled to understand how reports, datasets, and insights connected.

Search alone was insufficient

Users wanted guided discovery rather than relying solely on search functionality.

Different audiences had different goals

Researchers required depth and flexibility, while casual users preferred simplified access to insights.

DEFINING THE OPPORTUNITY

The opportunity was not simply to create another content platform.

The goal was to transform complex economic information into a structured and accessible digital experience.

Design Principles

Make discovery effortless

Reduce cognitive load

Create meaningful content relationships

Support both experts and casual users

SOLUTION STRATEGY

The design approach focused on three core areas:

Structured Information Architecture

A scalable framework was created to organize datasets, reports, articles, and multimedia content.

Guided Discovery

Content recommendations, categorization, and curated pathways helped users uncover relevant information.

Flexible Research Experience

Users could explore data through multiple entry points depending on their objectives and expertise.

DESIGNING THE EXPERIENCE

Building a Scalable Information Architecture

A clear content hierarchy was introduced to help users navigate complex information ecosystems.

WIREFRAMES

WIREFRAMES

Brainstorming focused on making complex economic information clear and navigable. We sketched layouts exploring category hierarchies, search UX, dataset exports, and multimedia integration.

Improving Content Discovery

New browsing experiences enabled users to discover relevant content through recommendations, categories, and thematic collections.

COMPETITIVE RESEARCH

COMPETITIVE RESEARCH

Competitive & Gap Analysis: We evaluated platforms such as McKinsey Insights and major academic databases, identifying key gaps including limited real-time data and a lack of contextual content breakdowns.

Simplifying Data Exploration

Datasets were redesigned with clearer visual structures, filtering mechanisms, and export capabilities.

VISUAL IDENTITY

VISUAL IDENTITY

Alongside the UI, I developed branding elements — including logo, color palette, and visual components — to communicate credibility and clarity.

OUTCOME

The redesigned platform provided a more intuitive research experience while supporting future content growth.

Business Impact

Improved content discoverability

Increased platform usability

Enhanced scalability for future content expansion

Strengthened knowledge-sharing capabilities

User Impact

Faster access to insights

Reduced navigation friction

Better understanding of relationships between content types

More efficient research workflows

REFLECTION

This project reinforced the importance of information architecture as a product strategy tool.

Users rarely struggle because information is unavailable. More often, they struggle because information is difficult to find, understand, and navigate.

DROP ME A MESSAGE

DROP ME A MESSAGE

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