About the Project

AI Bubble Tracker is a web-based analytics platform designed to help users evaluate whether the AI market is showing signs of sustainable growth or excessive speculation. The dashboard combines live risk indicators, historical timelines, market signals, and supporting methodology into one clear analytical experience.

Web App

AI Analytics

Market Intelligence

Challenge

The main challenge was presenting complex financial and market indicators in a way that felt clear and easy to interpret. Users needed to compare real-time risk levels, historical movement, valuation signals, funding quality, and industry strain without getting lost in dense data or technical terminology.

Our Process

Discovery

We explored the core analysis model, user needs, market indicators, and reporting goals to define the dashboard structure and information hierarchy.

Deliverables

Client Discovery

Product Scope

KPI Definition

Research

We reviewed financial dashboards, market intelligence tools, and risk analysis platforms to understand effective patterns for gauges, charts, and status signals.

Deliverables

User Personas

Competitive Analysis

Pain Point Analysis

UI/UX Design

We designed a clean analytical interface using risk gauges, status labels, historical charts, and clear data cards to make complex signals easier to scan.

Deliverables

User Flows

Wireframes

High Fidelity UI

Developer Handsoff

Web Dashboard Development

The platform experience was structured around real-time indicators, historical performance, risk scoring, methodology, and individual metric analysis.

Deliverables

Web App

Account System

File Management

QA & Testing

We reviewed metric states, charts, navigation, risk labels, data consistency, and responsive behavior to keep the experience clear and reliable.

Deliverables

Functional Testing

Cross-browser Validation

Final QA Review

Results

The final dashboard gives users a structured way to monitor AI market conditions and compare risk across multiple indicators. Economic strain, revenue growth, valuation heat, industry strain, and funding quality are presented with clear status signals, historical context, and detailed analysis views.

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Our Approach

We focused on making complex market data easier to understand at a glance. Clear risk states, consistent gauges, historical charts, and focused metric pages help users move from a high-level market assessment to deeper analysis without unnecessary visual complexity.

Technologies

Figma

React

Tailwind CSS

5/5 Review

“The AI Bubble Tracker turned a complex analytical framework into a clear and practical dashboard. Risk indicators, historical context, and individual metrics are now much easier to interpret. The final experience gives users a stronger way to understand market conditions without overwhelming them with raw data.”

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AI Bubble Tracker Team

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Whether you run a SaaS startup, a healthcare practice, a real estate business, or a growing service company, if you need a design and engineering team that ships well and stays in the relationship, we'd love to chat.
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Web Design

Product Design

Brand Identity

Mobile App Design

Web Development

MVP Development

Full-Stack Development

AI & Automation

A Dashboard For Smarter AI Market Analysis

About the Project

Challenge

Our Process

Discovery

Research

UI/UX Design

Web Dashboard Development

QA & Testing

Results

Our Approach

Technologies

Other Case Studies

Working on something? Let's talk.