Raleigh Files

2024

Creating an interactive database and forum for visitors of Raleigh, NC searching for unique city locations

About

My Role

UX/UI Designer

Keywords

UX/UI, Wireframing, Journey Map

Through utilizing a spreadsheet with Raleigh, NC’s most suggested recommendations— build an interface that increases exposure of these places.

Project Brief

  • Build upon micro-interactions that make a website more enjoyable.

  • Design a dashboard that still fulfills all information on each recommendation

Project Goals

  • “Unique” recommendations are most commonly found on social media

  • Reviews are often outdated and occasionally lack enough substance to make proper judgments

The Problem

Website

Homescreen & Dashboard

Dashboard Components

User Participation

The dashboard runs on user engagement. Active users can vote on recommendations, add ambiance or review photos, and contribute to live updates on different locations.

Forum & Awards

Research

Persona & Journey Map

Raleigh Files caters to an audience that is searching for beyond typical recommendations. They search for what’s odd, unique, or has a fantastic personality.

They also find enjoyment in the aspect of sharing. Whether it’s reviews or photos, they document their surrounds to assist others.

Meet Iris

  • Exploring new regions

  • Looking for more catered review sites with updated information

  • The ability to know exactly what to expect

Key Points:

Process

The use of files to present information invokes a feeling of secrecy to the website. Creating micro interactions such as checking for busyness or location images elevated this.

Wireframes

Task Flow

Initial iterations began with developing what’s on the dashboard. The biggest problem with these drafts is a lack of congruity between elements. The chat feature feels very disconnected from the overall dashboard. Thus more iterations followed.

Iterations

Currently, I’m in the process of developing a user information page. Here, users can organize their files and view their rewards in whole.

Work in Progress

The prospective features:

  • users can reminders about their destinations.

  • Collect additional data on recommended places based on users interests

  • Organize files based on visitation