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RESEARCH & DISCOVERY

Understanding the work behind every event

Before redesigning UpGather, I studied how event teams plan, publish, coordinate, and manage events across fragmented tools, workflows, and stakeholders.

Event team member reviewing event information at a desk

Product

Upgather - Event SaaS Creator

My role

Principal Product Designer

Format

Product design & prototyping

Focus

Enterprise UX, Experience architecture

RESEARCH EVIDENCE

Evidence before assumptions

Workflow analysis, stakeholder input, and prototype iteration informed a clearer event operations workspace.

RESEARCH METHODS

01

WORKFLOW ANALYSIS

Reviewed end-to-end workflows across Events, Speakers, Sponsors, Agenda, Registration, Members, Organizations, Invitations, analytics, and publishing.

02

STAKEHOLDER DISCOVERY

Translated evolving business, customer, product, and technical requirements into workflows, interaction models, and product direction.

03

COMPETITIVE / DESK RESEARCH

Studied event-management SaaS, registration, CMS, workflow, dashboard, automation, and integration patterns.

04

PROTOTYPE ITERATION

Created and refined high-fidelity concepts for dashboards, event creation, side panels, registration, sponsors, members, organizations, and related experiences.

05

DESIGN-SYSTEM AUDIT

Reviewed typography, spacing, status patterns, list rows, components, and interaction consistency across UpGather.

06

IMPLEMENTATION QA

Compared Figma designs against the built application and worked with Engineering to resolve visual and interaction differences.

KEY OBSERVATIONS

01

FRAGMENTED WORK

Tasks lived across UpGather, Asana, email, spreadsheets, and other systems.

02

LOW VISIBILITY

Teams could not quickly understand what still needed attention before an event was ready.

03

INCONSISTENT PATTERNS

Similar workflows had diverged in typography, spacing, status treatments, hierarchy, and interaction behavior.

04

NAVIGATION FRICTION

Users often knew what needed updating but still had to search through the product to find it.

05

NO CLEAR NEXT STEP

The system presented information but did not consistently guide users toward the most important action.

06

DESIGN-TO-BUILD FRICTION

Differences between Figma and production created additional review and correction cycles.

KEY RESEARCH INSIGHT

Users didn't need more features. They needed the system to tell them what mattered next.

SIGNALS

→

Tasks, event status, integrations and user activity

PRIORITIZATION

→

Role, urgency, deadline and event impact

CONTEXTUAL GUIDANCE

→

Surface what needs attention

DIRECT ACTION

Take the user directly to the work

Research shifted the product strategy from simply organizing event data toward helping users understand priorities, reduce operational friction, and take action faster.

Personalization

Automation

AI Assistance

Contextual Actions

RESEARCH ARTIFACT

Existing workflow artifact

Workflow map

This map makes connected steps and dependencies across the event-management lifecycle visible — surfacing where work branched, converged, and repeated across multiple tools and stakeholders.

Existing workflow artifact

Workflow map

This map makes connected steps and dependencies across the event-management lifecycle visible — surfacing where work branched, converged, and repeated across multiple tools and stakeholders.

Mapping the end-to-end event lifecycle to surface where work branched across tools and roles.

Workflow analysis · Research method 01

RESEARCH NOTE

This phase relied primarily on workflow analysis, stakeholder input, competitive research, prototype iteration, design-system review, and implementation feedback rather than a formal large-scale moderated user study.

MY ROLE & OWNERSHIP

From product direction to implementation

As Principal Product Designer for UpGather, I owned the product experience from discovery and North Star direction through detailed UX/UI, prototyping, design-system development, developer handoff, and implementation support.

WHAT I LED

I LED

PRODUCT DIRECTION

Defined North Star concepts and translated ambiguous requirements into actionable product direction.

EXPERIENCE ARCHITECTURE

Structured complex event-management workflows across the platform.

UX / UI DESIGN

Designed responsive, high-fidelity experiences from early concepts through implementation-ready detail.

INTERACTION DESIGN

Defined side panels, full-screen workflows, list behaviors, states, validation, navigation, and responsive interactions.

DESIGN SYSTEM

Evolved shared Figma components and patterns to improve consistency across the product.

DESIGN-TO-BUILD

Supported implementation through Storybook, repositories, MCP-based workflows, specifications, and visual QA.

HOW I WORKED

Cross-functional partnership

Principal Product Designer

↔

Product

Engineering

Data / AI

Content / Editorial

Business stakeholders

I worked directly with Engineering throughout design and implementation, using prototypes, Figma, Storybook, repository workflows, MCP-based handoff, and visual QA to reduce the gap between design intent and the built product.

DESIGN → BUILD WORKFLOW

01 / 08

Discovery

Reviewed end-to-end workflows across events, speakers, sponsors, agenda, registration, members, organizations, invitations, analytics, and publishing.

PRODUCT DIRECTION

Product & North Star concept

The research insight — surface what matters next — directly shaped this North Star dashboard concept. My Work, task status, event readiness, and contextual signals are surfaced as the primary workspace, not buried in navigation.

Interactive prototype

Explore the dashboard and event workflows. Choose Play Prototype for a fullscreen viewer, or open it in a separate tab. This is an interactive design prototype, not a shipped product.

Current dashboard

The current dashboard shows My Work, task status, event readiness, and upcoming events. Review how daily work and contextual signals come together in one workspace.

North Star concept

Visible elements include a My Work panel surfacing task status, event readiness, upcoming events, recent work, and contextual signals — translating the research insight into one workspace.