Current dashboard
My Work, event readiness, and upcoming events bring operational context into one workspace. Shown as product evidence; no outcome attribution is implied.
PROJECT OVERVIEW
I connect UX research, product strategy, and hands-on design to make complex enterprise workflows easier to navigate.

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
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.
My Work, event readiness, and upcoming events bring operational context into one workspace. Shown as product evidence; no outcome attribution is implied.
Explore the dashboard and event workflows. This interactive design prototype communicates responsive behavior and is not a shipped product.
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
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
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
02 I designed
03 I partnered
HOW I WORKED
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
Reviewed end-to-end workflows across events, speakers, sponsors, agenda, registration, members, organizations, invitations, analytics, and publishing.
AI GOVERNANCE · MY APPROACH
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.
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 boundaryI 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 safeguardsMy 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 validationReact 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
The strongest evidence here is product direction carried into workflow concepts, detailed design, and an interactive prototype.
Operational workflows, React interface work, shared Figma components, interaction specifications, and implementation reviews.
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 tabThe available project record does not include launch, adoption, conversion, or task-time results, so none are claimed here.
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.

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.