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Trend Radar

Enterprise AI tool to reduce support load and reuse internal knowledge

B2B SaaS platform · Compliance & risk intelligence sector · Enterprise client · Agency: Virtual Identity AG

Context

Enterprise / AI

Role

Product & UX Designer

Timeline

2024

Outcome

Shipped

Scope

Research
UX
UI
IA

Constraints

No backend infrastructure · Manual processes · NDA

Confidential Project: Some details have been anonymized to protect client confidentiality.

The Challenge

Over fifty innovation trends were buried in PDFs and presentations. People struggled to find what mattered or connect with others working on similar ideas.

The Trend Radar was meant to inspire and inform, but in practice, it was static and hard to use. Everything was managed by hand, with no real structure behind it.

Process Overview

01

Understand

Mapped how users currently accessed trend information. Identified pain points: buried content, no discovery path, static format.

02

Decide

Prioritized discoverability and engagement over complex features. Designed for manual content entry while preparing for future automation.

03

Design

Created trend list/grid views with filters, detailed trend pages, and a lightweight editor interface for manual content management.

04

Deliver

Shipped living knowledge platform with 51 manually entered trends. Users can explore, follow, and connect around technology trends.

Trend Radar platform displayed across desktop, tablet, and mobile devices

Responsive interface for discovering and following technology trends

View Figma Prototype

Password-protected for client privacy. Access available upon request.

Design Decisions

  • Card-based trend browsing: Each trend as a scannable card with quick actions. Users can filter, preview, and follow without opening full detail pages.
  • Manual-first editor workflow: Designed a lightweight input system for editors with limited time. Manual but practical, not fighting constraints.
  • Follow + connect features: Transformed static content into engagement opportunities. Users can follow trends and see who else is interested.
  • Future-ready architecture: Content structure designed to scale into AI-powered recommendations and automated updates when infrastructure allows.

Key Features

Trend List Page

Clean list and grid view with filters, categories, and quick "follow" actions. Each card shows key facts and links to related projects.

Trend Detail Page

Clear layout showing descriptions, potential, challenges, and connections. Users can download studies and follow trends.

Editor Interface

Simple input system for text, tags, and files designed for editors with limited time. Manual but lightweight.

Navigation Structure

Trend Radar lives in the knowledge hub sidebar, designed to grow into a larger toolbox later on.

Outcome

  • Shipped living knowledge platform with 51 manually entered trends
  • Transformed static PDFs into interactive, discoverable content
  • Reduced editor workload through streamlined content management
  • Architecture ready for future AI-powered features

The platform turned a forgotten marketing asset into an engaging discovery experience. Users can now explore trends in minutes instead of searching through scattered documents.

What This Project Demonstrates

  • Information architecture for complex content systems
  • Designing within severe infrastructure constraints
  • Knowledge management and discovery UX
  • Future-proofing design for scalability
  • Editor experience and content workflow design
  • Balancing MVP pragmatism with long-term vision

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