Stakestack AI

problem.

Technology is revolutionizing education, yet a significant challenge remains. Educators with deep subject expertise often lack the technical skills to create engaging multimedia content. The traditional approach to course development is inefficient, forcing teachers to navigate multiple platforms and resulting in inconsistent quality and frustration.

discovery.

Our research approach incorporated multiple methods to gather comprehensive user insights:
In-depth interviews with teachers across different age groups and locations.
Focus group discussions to understand collective pain points.
User walkthrough sessions to observe real-time interaction patterns.
Analysis of platform usage data and dropout rates.

research and
insights.

user personas

Through our user research phase, we were able to identify 3 user segements:
‍

Through our observations, we discovered that course creation typically follows a cyclical pattern: content planning, resource gathering, content creation, assessment design, and refinement. Each phase presented unique challenges that informed our design decisions.

goals.

After getting valuable insights from the research phase, we defined goals for the stakestack platform.

Simplicity & Accessibility: Ensure a seamless experience for users with varying levels of technical expertise.
AI Transparency: Clearly communicate AI-generated content while allowing users to maintain control over modifications.
‍Modular & Scalable Design: Accommodate different user needs, from individual course creators to large organizations.
Collaboration & Integration: Enable team-based course creation with collaborative features and third-party integrations.

solution.

user flow

We separated the platform into 4 user segments based on the user personas identified during the research phase.

Professional Education
Corporate Organization
K12
Higher Organization

course creation

Although getting our user's profile was very necessary, it was a 7-step process that majorly hindered new users from accessing the app and greatly contributed to our drop-off rate. After discussions with the academic team, it was reduced to a 5 step process that only happened once a user had signed into the app. I also added an option for a users to the skip the process to be prompted later.

access control

The dashboard redesign focused on creating a clear visual hierarchy that would guide users naturally through their learning journey:Implemented a "Today's Priority" section highlighting immediate tasksCreated distinct visual pathways for different types of contentAdded progress tracking that celebrated small winsIncorporated offline access to previously downloaded materials

build your course

The dashboard redesign focused on creating a clear visual hierarchy that would guide users naturally through their learning journey:Implemented a "Today's Priority" section highlighting immediate tasksCreated distinct visual pathways for different types of contentAdded progress tracking that celebrated small winsIncorporated offline access to previously downloaded materials

Course builder

The dashboard redesign focused on creating a clear visual hierarchy that would guide users naturally through their learning journey:Implemented a "Today's Priority" section highlighting immediate tasksCreated distinct visual pathways for different types of contentAdded progress tracking that celebrated small winsIncorporated offline access to previously downloaded materials

conclusion.

Designing Stakestack AI required balancing powerful AI capabilities with user-friendly design principles. Our iterative design approach ensured accessibility, efficiency, and adaptability. Moving forward, we plan to enhance personalization features and expand integrations based on user feedback.