VERO

Designing a AI- powered app scoping platform that turns ideas into struceted, build-ready plans.

Role: Product Design Lead (0 → 1)
Duration: ~6–8 weeks
Platform: Web Responsive
Scope: UX Strategy & Information Architecture / AI-assisted workflow definition

Overview

Vero is an AI-powered platform designed to eliminate one of the biggest bottlenecks in product development: unclear, inconsistent, and time-consuming project scoping.

The goal was to transform raw ideas into structured, actionable documentation — including features, architecture, and timelines — in minutes instead of weeks.

I led the end-to-end product design, translating a complex system into a clear, scalable experience that serves founders, product teams, and agencies.

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The Problem

Scoping a digital product is slow, fragmented, and expensive.

• Founders struggle to translate ideas into clear requirements
• Agencies spend hours manually writing scope documents
• Misalignment between stakeholders leads to delays and rework
• Technical and non-technical users lack a shared language

The result: wasted time, unclear expectations, and costly mistakes before development even begins.

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The Opportunity

The MillionScopes framework revealed a clear opportunity:

Automate the entire scoping process using AI — while keeping users in control.

Instead of replacing human decision-making, the product needed to augment it, generating structured outputs that users can refine, customize, and trust.

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Design Challenge

How might we design a system that:

• Transforms abstract ideas into structured outputs
• Supports both technical and non-technical users
• Scales across multiple project types
• Maintains clarity despite high complexity

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Approach

1. Structuring Complexity into a Clear System

From the scope document, the product includes multiple layers:

• Project Studio
• Dashboard
• Supplier Catalog
• Vendor Management
• Transactions
• User & Settings

Rather than exposing this complexity upfront, I designed a progressive disclosure model:

• Start simple (idea input)
• Expand into structured outputs
• Reveal advanced tools only when needed

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2. Designing the Core Experience: Project Studio

The heart of the product is the Project Studio, where users:

• Input their idea
• Generate AI-powered scope outputs
• Refine features, flows, and requirements

Key design decisions:

• Guided input instead of blank states
• Modular sections (features, roles, flows)
• Editable AI outputs for flexibility

This transforms users from passive recipients into active collaborators with AI.

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3. Turning Outputs into Real Value

Most AI tools stop at generation.
Vero goes further — structuring outputs into usable assets:

• Feature breakdowns
• Product architecture
• Functional requirements
• Scoping documentation

The goal was to ensure outputs are not just readable — but build-ready.

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4. Designing for Multiple User Types

The platform needed to work for:

• Founders with no technical background
• Product managers
• Agencies and developers

I introduced:

• Clear terminology (non-technical first)
• Layered complexity
• Contextual guidance across flows

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5. System Thinking & Scalability

The scope revealed a broader ecosystem:

• Vendor management
• Supplier catalog
• Transaction systems
• User roles and permissions

Instead of treating these as separate tools, I designed a connected system where:

• Scopes feed into execution
• Projects connect to vendors
• Outputs evolve into delivery workflows

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Key Design Decisions

AI as a collaborator, not a replacement

Users guide the process — AI accelerates it.

Progressive complexity

Start simple, unlock depth over time.

Structured outputs over raw generation

Everything generated is usable, editable, and actionable.

System-first thinking

Designed not just a feature, but a scalable product ecosystem.

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Impact

The redesigned experience transformed Vero into:

• A complete product scoping platform, not just an AI tool
• A system that reduces scoping time from days to minutes
• A bridge between idea, strategy, and execution

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What This Project Demonstrates

• Ability to design AI-powered products beyond UI trends
• Strong systems thinking and information architecture
• Experience translating complex scope documents into real products
• Focus on business impact, not just visuals

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Final Reflection

This project wasn’t about designing screens.

It was about designing clarity —
turning ambiguity into structure, and ideas into execution-ready products.

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