Degreed - Automations Builder

Tools Used: Figma, FigJam, Maze and Dovetail

Introduction

At Degreed, we identified the need for a streamlined solution to help administrators efficiently manage their users' learning, skills, and growth. To address this, we developed an automation tool builder that simplifies and automates these tasks. This tool empowers admins by reducing manual effort and providing the tools needed to drive continuous development within their organizations.

Goals

  • Promote Continuous User Learning and Growth: Enable the tool to deliver constant learning recommendations and skill checks, ensuring users are regularly engaged with personalized content that fosters ongoing development and skill enhancement.

  • Enhance User Experience: Provide admins with an intuitive and user-friendly interface that simplifies complex tasks and makes managing large user bases more efficient.

  • Increase Automation: Automate routine administrative tasks, allowing admins to focus on more strategic activities, such as identifying skill gaps and planning future learning initiatives.

Research

We kicked off the project by conducting client interviews to understand their pain points, needs, and preferences regarding automation. We supplemented these interviews with surveys conducted through Maze to gather additional quantitative data. Using Dovetail, we synthesized all the insights, allowing us to visualize the data and share our findings. This process validated our assumption that clients were frustrated with the current system, uncovered unexpected use cases, and helped us prioritize the work ahead based on comprehensive, data-driven insights.

Design Process

Our design process began with ideation and sketching, where we explored various solutions to address the key pain points identified in our research. We then created wireframes and high-fidelity prototypes, focusing on the most critical features for an MVP. By sharing early prototypes with clients, we gathered essential feedback, allowing us to refine the design iteratively. We quickly developed and shipped the MVP to select clients for testing, using their feedback to make further enhancements. This iterative approach ensured that the final product was both practical and aligned with user needs.

Automations MVP

Iterations

After releasing the MVP to select clients, we actively collected feedback to understand how the tool performed in real-world scenarios. This feedback revealed areas where the tool could be improved, such as enhancing usability, refining workflows, and expanding functionality to better meet user needs. We used these insights to iterate on the design, making the interface more intuitive and adding features that addressed the specific challenges our clients faced. Each iteration was tested with users, ensuring that the updates aligned with their expectations and improved their experience. Through this collaborative, feedback-driven process, we transformed the initial MVP into a more robust and user-friendly automation builder that effectively supports administrators in managing user learning, skills, and growth.