Data Visualization

Turning Complex Data into Clear Insights

A tablet, laptop, and smartphone displaying various data visualization dashboards with graphs, charts, and analytics interfaces

Products

Medical Outreach
Contest Platform
SaaS Admin

Collaboration

Developers
Data Analysts
Product Owners

Project Type

Data Visualization

Design Software

Figma

Year

2022-2025

Role

UX/UI Designer

Introduction

Below are visualizations I've designed for different projects. Each was crafted for specific user needs and contexts, but all share the same goal: enabling users to analyze complex data and understand what matters at a glance.

SaaS administration platform dashboard showing user management and system metrics

SaaS Administration Platform

This project centered on a system administrator managing user lifecycles, device enrollment, and security protocols.

The administrator needed:

  • User Status Chart — A donut visualization showing active, inactive, and disabled users in the system. This allows quick identification of distribution patterns and potential issues.
  • Task List Panel — A prioritized view displaying task type, assignee, and relevant details. Each row links directly to the task for immediate action.
  • System Metrics — Key counts for total devices, managed apps, and security controls. Each metric displays alert indicators when issues arise, so the administrator knows exactly when action is needed.

SaaS administration platform dashboard iterations showing various data visualizations and workflow components
Health outreach analytics platform showing social media campaign performance

Health Outreach Analytics Platform

For this platform, users needed to track social media campaign performance across multiple channels.

Interactive Bar Chart — Aggregates data from various social platforms with three core metrics: Impressions, Posts, and Engagements. Users can toggle visibility of individual metrics to focus on what matters most for their current analysis. This flexibility prevents information overload while keeping all data accessible.

Health outreach analytics interactive bar chart showing campaign performance metrics
Contest builder platform dashboard showing contest overview with pie chart and station management with visual cards

Contest Builder Platform

This platform required multiple visualizations to support users hosting surveys, quizzes, and other contest types.

Contest Overview — A pie chart showing the distribution of active, inactive, and archived contests, alongside the average number of entrants. This gives contest organizers immediate insight into their portfolio health.

Station Management — Visual cards displaying teams (stations) and their assigned contests, helping administrators balance workload across groups.

Contest builder platform performance dashboard showing visits, impressions, shares, and device breakdown for individual contests

Performance Dashboard — Displays visits, impressions, and shares for individual contests, plus a breakdown of which devices users accessed the contest from (mobile, tablet, desktop). This multi-metric view serves different stakeholder needs—marketing focuses on reach, while UX teams optimize for device experience.

Contest builder platform funnel view visualization showing user progression through contest phases with drop-off rates

Funnel View — A stage-by-stage visualization showing user progression through each contest phase, with clear drop-off rates between stages. This helps identify where contestants lose interest and where improvements are needed.

Marketing page funnel view visualization showing user progression through marketing pages with drop-off rates

Funnel Visualization Comparison — These two funnels demonstrate different visualization purposes. The contest builder funnel displays real-time performance data, allowing users to monitor actual user behavior and make data-driven optimizations. In contrast, the recruitment platform funnel communicates company values and positioning—it's designed for marketing purposes to convey their rigorous selection process and quality standards rather than serve as an operational analytics tool. This shows how the same chart type can function either as an interactive data dashboard for decision-making or as a storytelling device for brand communication, depending on the audience and business goal.

My Approach

When designing data visualizations, I focus on three principles:

  • User-centered chart selection — The right visualization depends on the user's goal. Comparisons need bar charts, trends need line graphs, part-to-whole relationships work best with pie charts, and process flows require funnels.
  • Actionable design — Every visualization should support a decision or action. I prioritize clarity and immediate understanding over decorative elements.
  • Collaborative handoff — I work closely with developers and data analysts to ensure visualizations are both technically feasible and accurately represent the underlying data. I document my design decisions and specifications in Figma for smooth implementation.