PROJECT OVERVIEW

Simplifying complex enterprise experiences.

I connect UX research, product strategy, and hands-on design to make complex enterprise workflows easier to navigate.

Prototype opens in a new tabExplore the interactive Event Manager experience.
Event team member reviewing event information at a desk

Product

Upgather - Event SaaS Creator

My role

Staff Product Designer | AI, Research, Design Systems & Engineering | Enterprise SaaS

Format

UX research & product design

Focus

Enterprise UX, Experience architecture

PRODUCT DIRECTION · DESIGN DECISIONS

Turn operational signals into the next step

I translated the design interpretation into a workspace that brings My Work, task status, event readiness, and contextual actions into view instead of scattering them across navigation.

  1. 01Read the signalsTasks · event status · deadlines
  2. 02Set priorityUrgency · role · event impact
  3. 03Make the next step visibleContext · guidance · direct action
PRODUCT VIEW

Current dashboard

My Work, event readiness, and upcoming events bring operational context into one workspace. Shown as product evidence; no outcome attribution is implied.

DESIGN PROTOTYPE

Interactive prototype

Explore the dashboard and event workflows. This interactive design prototype communicates responsive behavior and is not a shipped product.

FUTURE-STATE CONCEPT

North Star concept

A concept for surfacing task status, event readiness, upcoming work, and contextual signals in one workspace. Personalization and AI assistance remain concept directions.

RESEARCH ARTIFACT

Existing dashboard view

Operational workspace

The workspace brings task status, registration activity, and event readiness into one operational view.

Existing event workflow view

Event list and details

The event list and detail panel keep status, agenda, speakers, registration, and sponsors close to the selected event.

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

Workflow analysis · Research method 01

Evidence before assumptions

I used workflow analysis, stakeholder input, prototype iteration, and implementation feedback to shape a clearer operational workspace. These are project signals and design interpretation, not a formal participant study.

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

Framed comparisons around event creation, operational context, and workflow continuity; benchmark results are not available in the project record.

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.

DESIGN SIGNALS

01

FRAGMENTED WORK

Project materials describe work spread across UpGather, Asana, email, spreadsheets, and other systems.

02

LOW VISIBILITY

Event teams needed a clearer view of what still needed attention before an event was ready.

03

INCONSISTENT PATTERNS

Similar workflows showed differences in typography, spacing, status, hierarchy, and interaction patterns.

04

NAVIGATION FRICTION

Navigation could make it hard to locate the right place to update work.

05

NO CLEAR NEXT STEP

Information was available, while the next useful action was not always clear.

06

DESIGN-TO-BUILD FRICTION

Figma-to-product differences called for more implementation review and correction.

DESIGN INTERPRETATION

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

A synthesis of documented workflows and project input—not a verbatim participant quote.

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

This interpretation shaped a product direction: bring priorities into the working context, then make the next step easy to reach.

Operational context

Event readiness

Next action

Workflow continuity

MY ROLE & OWNERSHIP

From product direction to implementation

As Staff Product Designer | AI, Research, Design Systems & Engineering | Enterprise SaaS, I carried the experience from North Star direction through research, detailed interaction design, prototypes, shared systems, and implementation support.

01 I led

  • Product directionTurned changing business, customer, product, and technical needs into a clear experience direction.
  • Experience architectureStructured connected event-operations workflows across the platform.
  • Product alignmentWorked across Product, Engineering, Data / AI, Content, and business stakeholders.

02 I designed

  • Operational workspaceDashboard patterns for My Work, task status, event readiness, and upcoming work.
  • Event workflowsCreation, registration, contextual panels, full-screen flows, and responsive interactions.
  • Reusable patternsHigh-fidelity prototypes, interaction states, and shared Figma components.

03 I partnered

  • Engineering handoffConnected design intent across Figma, Storybook, specifications, and repository workflows.
  • Implementation reviewCompared designs with the built experience and worked through visual and interaction gaps.
  • IterationUsed implementation feedback to refine shared patterns and change tracking.

HOW I WORKED

Cross-functional partnership

Staff Product Designer | AI, Research, Design Systems & Engineering | Enterprise SaaS

↔

Product

Engineering

Data / AI

Content / Editorial

Business stakeholders

I worked across product design and design engineering, building React interfaces and partnering with Engineering on shared components. Figma, Storybook, interaction specifications, and visual QA connected the intended behavior to a working interface. The design balance: reuse familiar patterns while giving complex event tasks the space they need.

DESIGN → BUILD WORKFLOW

01 / 08

Discovery

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

AI GOVERNANCE · MY APPROACH

AI can assist. Event teams stay accountable.

My governance approach for the AI direction starts with a clear boundary: help teams understand and prepare work, while keeping review and publishing decisions with the people responsible.

01

Separate suggestions from actions

For the North Star AI direction, I would label generated insights and drafts, let an event manager inspect and edit them, and require an explicit action before publishing or sending.

Proposed human-review boundary
02

Respect access and context

I would define with Product and Engineering which event, organization, and attendee information each role can use. AI assistance should follow those permissions and show the context behind a suggestion.

Proposed data safeguards
03

Make behavior reviewable

My React, Figma, and Storybook work provides a shared interface foundation. For AI features, I would extend that review to loading, failure, correction, and approval states, with agreed evaluation criteria before release.

Build foundation → AI validation

React and design-system contributions are documented. The AI safeguards describe the proposed North Star approach, not verified production controls or a completed governance program.

DELIVERY & EVIDENCE

What the work demonstrates

The strongest evidence here is product direction carried into workflow concepts, detailed design, and an interactive prototype.

DESIGN DELIVERABLES

Direction carried into detail

Operational workflows, React interface work, shared Figma components, interaction specifications, and implementation reviews.

PRODUCT & PROTOTYPE

Current views beside future concepts

The gallery separates current product, prototype, and North Star concepts. AI-assisted insights belong to the future direction: surface relevant work for an event manager to review, with publishing decisions kept explicit. That benefit needs validation.

Prototype opens in a new tab
MEASURED IMPACT

Outcome metrics not available

The available project record does not include launch, adoption, conversion, or task-time results, so none are claimed here.

DESIGN ENGINEERING · TECHNICAL EVIDENCE

One Component. From Figma to React.

I developed Upgather's design system in Figma and connected it through MCP to Storybook and the React codebase, aligning reusable components, interaction states, and implementation.

Upgather Figma design system showing Primary Button variants, sizes, icon buttons, and interaction states
01 / 03 · PRIMARY BUTTON

Designed reusable components and interaction patterns to establish consistency across the Upgather experience.

REFLECTION This work shows how I connect product direction with hands-on design: making complex event operations easier to navigate and carrying those decisions through engineering review.