The Wayfarers CRM platform was conceptualized and developed as an internal system to support the data management, feedback tracking, and iterative training of our AI travel companion, Supertramp. The goal was to create a centralized platform where we could easily store and analyze user feedback, manage feature requests, track bugs, and house the extensive data sets essential for training Supertramp.

Process & Development

Our development process began with a lean, foundational structure that allowed us to quickly establish a functional dashboard. This initial “bare-bones” approach enabled rapid progress without detracting from the primary focus: building The Wayfarers platform itself. Key functions, like user feedback tracking and feature request logs, were prioritized to gather real-time insights into user needs and streamline communication with the design and development teams.

This phased, iterative approach allowed us to refine features progressively. Early versions of the dashboard served as a testing ground for logging and tracking feedback; as we expanded, more robust training functions were integrated. These enhancements empowered the team to continuously train Supertramp, adapting the AI agent to meet evolving user expectations and refining its responses with real-world data.

Key Features

• Feedback and Bug Tracking: Comprehensive logs of user feedback, feature requests, and bugs allowed the team to stay responsive to user needs. This tracking system helped prioritize fixes and new features based on real-time insights.
• Data Storage for AI Training: A scalable database was designed to support the ongoing training of Supertramp, with datasets collected from user interactions. The data was organized to facilitate efficient querying and management, optimizing the AI agent’s learning pipeline.
• Training Interface: Built-in functionalities enabled team members to label data, manage training parameters, and view version histories for Supertramp’s training iterations. This flexibility was essential to the iterative development of Supertramp's recommendations and responses.

Home

The Home section serves as the main overview of the platform’s user metrics, providing at-a-glance insights into platform activity. This section features dynamic data visualizations that represent critical KPIs and metrics, updated in real time.

Key Metrics Displayed:

• User Count: Total active, waitlisted, and deactivated users.
• Engagement Metrics: Total posts, journal entries, bucket list items, goals, trips, and recommendations.
• Recent Activity: A live feed of recent user activities (e.g., recent posts or recommendations) to give the team insights into platform usage trends.