GATH3R — Designing event planning as one synchronized system

01 · Project Overview

Event planning is a synchronization problem: every guest response, budget decision, task, vendor update, and timeline change affects something else. GATH3R brings those dependencies into one AI-assisted workspace so plans can change without losing context.

Event planning has become increasingly fragmented. Guests live in messaging apps. Budgets are managed in spreadsheets. Menus are shared in notes. Timelines exist inside calendars. Tasks disappear inside chat conversations. Every decision requires switching between multiple tools, increasing cognitive load and making collaboration unnecessarily difficult. GATH3R was created to replace that fragmented experience with one connected planning workspace. Instead of treating guest management, budgeting, scheduling, vendors, and collaboration as separate problems, the product brings every part of planning into a unified system where information remains connected throughout the entire event lifecycle. AI is introduced carefully throughout the experience to reduce repetitive work, surface relevant recommendations, and simplify decision making while always keeping users in control. The result is a mobile-first platform that helps individuals, families, and teams organize complex events with greater confidence, less stress, and significantly fewer manual steps.

Responsibilities

Product Strategy

UX Research

Information Architecture

Interaction Design

Visual Design

Design System

AI Experience Design

Prototyping

Frontend Collaboration

02 · The Challenge

The difficult part of event planning is not any single task. It is keeping interdependent decisions synchronized as guests respond, budgets change, responsibilities move, and the schedule evolves.

Fragmented Communication

Guests, vendors and collaborators work across multiple channels, making updates difficult to track and easy to miss.

Disconnected Planning

Budgets, guest lists, menus and timelines often live in separate tools with no shared context.

Context Switching

Planning requires constant movement between calendars, spreadsheets, notes, messaging apps and email.

Limited Visibility

As more people contribute, ownership and progress become increasingly difficult to understand.

Continuous Change

Guest responses, vendor updates and schedule changes create unnecessary manual work.

Growing Complexity

The more details an event contains, the more time is spent managing information instead of planning the experience.

03 · Product Vision

The product strategy was to treat the event as the shared system of record. Features are useful only when a change in one part of the plan can remain meaningful everywhere else. Every feature was built around four core product principles.

Our objective was simple: reduce coordination, increase confidence, and allow people to spend more time creating experiences instead of organizing them.

One Source of Truth

Guests, budgets, vendors, timelines, and tasks should live in one connected system instead of multiple disconnected applications.

Designed for Collaboration

Planning is rarely done alone. Every interaction should make collaboration effortless while maintaining clear ownership and visibility.

AI with Purpose

Artificial intelligence should reduce repetitive work, surface meaningful recommendations, and support decisions without removing user control.

Progress over Complexity

The interface should always make the next action obvious, helping users focus on planning memorable events instead of managing information.

04 · Information Architecture

The event is the parent object for the planning system. Guests, responsibilities, budgets, vendors, menus, and timelines keep their own workflows, but they share event context rather than becoming isolated mini-products. That matters when plans change. A guest response can affect catering or seating; a vendor decision can affect budget and timing. The architecture keeps those relationships legible while avoiding duplicated information and unnecessary navigation. The same model can support a small gathering or a more complex multi-day event without changing the basic mental model.

Good information architecture should disappear. Users should feel like they are planning an event, not learning software.

05 · Research & Insights

Research shifted the problem from “which planning features are missing?” to “where does coordination break?” Across different planning behaviors, the recurring issue was maintaining shared context as information, ownership, and decisions changed.

The research confirmed that the problem was not managing more information. It was creating one trusted place where every decision remained connected.

Planning Happens Everywhere

People naturally combine messaging apps, spreadsheets, notes, calendars, and email throughout the planning process.

Information Becomes Fragmented

Critical details are frequently duplicated, forgotten, or become outdated as plans evolve.

Collaboration Creates Complexity

The more people involved, the more difficult it becomes to maintain visibility and accountability.

Plans Constantly Change

Guest responses, vendor availability, budgets, and schedules continue evolving until the event begins.

Mobile Becomes the Primary Workspace

Most planning decisions happen away from a desk, making speed and clarity essential.

People Value Confidence More Than Features

Users want reassurance that nothing has been overlooked more than they want additional functionality.

06 · Product Strategy

The strategic decision was to optimize for continuity rather than feature count. Each capability had to strengthen the shared event context, reduce manual reconciliation, or make the next decision clearer. Features that did not improve that coordination model were secondary.

07 · AI-Assisted Product Development

GATH3R was designed and built as a production product using a modern AI-assisted workflow. Rather than treating artificial intelligence as a feature layered on top of the interface, AI was used throughout the development process itself to compress the distance between an idea and working software. Discovery, UX exploration, information architecture, and interaction patterns were rapidly prototyped alongside AI, allowing early decisions to be tested against real interactions instead of static screens. What would traditionally have taken weeks of specification and hand-off happened over the course of days, with product direction refined continuously as behavior became tangible. During implementation, AI accelerated the creation of components, forms, and end-to-end flows across mobile web, iOS, and Android. It supported debugging, code reviews, and architectural refactors, and it helped keep the design system consistent as new patterns were introduced. Testing, quality assurance, and deployment automation were augmented in the same way, allowing every release to move confidently from feature branch to production. Even with that acceleration, every product-defining decision remained human-led. Strategy, systems thinking, prioritization, user experience, tone of voice, and technical trade-offs were owned end to end. AI handled execution volume; product judgment shaped the outcome. The result is a mobile-first product that would previously have required a cross-functional team, delivered as a live SaaS platform without compromising on craft, accessibility, or long-term maintainability.

08 · Guest Experience

Every event begins with people. Rather than treating guest management as a simple contact list, GATH3R was designed to keep every guest interaction connected throughout the planning journey. Invitations, RSVPs, dietary preferences, seating groups, notes, and communication all remain within the same workspace, giving planners a complete understanding of every attendee without switching between multiple tools. As guest responses evolve, budgets, seating arrangements, catering, and timelines remain synchronized, reducing manual updates and improving planning confidence.

Guest management becomes more valuable when every response automatically informs the rest of the planning experience.

09 · Reflection

GATH3R reinforced that coordination products succeed when the relationships between decisions are designed as carefully as the individual features. The central challenge was keeping changing information synchronized without making the product feel like enterprise software. Taking the product from concept through production also made design, implementation, QA, deployment, and iteration part of the same product loop rather than separate hand-offs.

Great products do not eliminate complexity. They organize it into experiences that feel effortless.