Overview

Logan & Friends LLC is a community-focused organization that promotes equity, creativity, and innovation in education through collaborative learning experiences. As part of this capstone project, we partnered with the organization to identify challenges in modern educational environments and propose a technology-driven solution.

Key Challenges & Why this problem matters?

• Delayed and inconsistent instructional feedback

• Disconnected classroom observation systems

• Limited visibility into student engagement

• Complex reporting and analytics workflows

• Administrative overload for teachers and coaches

• Lack of collaboration across stakeholders

Objective & What the platform aimed to achieve

Design an AI-powered instructional coaching platform that:

• Simplifies teacher evaluation workflows

• Improves classroom engagement visibility

• Supports data-driven instructional decisions

• Enhances collaboration among educators

• Delivers accessible and scalable user experiences

Stakeholders

Research Process

To better understand the educational ecosystem, we conducted a mixed-method UX research process combining qualitative and quantitative methods.

• Competitor Analysis

• Secondary Research

• Stakeholder Interviews

• Surveys

• Journey Mapping

• User Flows

• Persona Development

• Usability Testing

Research & Analysis

Competitor Analysis

We analyzed platforms including:

Key Findings

• Most tools focused heavily on analytics but lacked usability

• Classroom observation workflows were often complex

• Existing systems lacked centralized instructional support

• Real-time actionable feedback was limited

• Accessibility and onboarding experiences were inconsistent

Opportunity Identified

Create a unified platform that balances analytics, usability, accessibility, and collaborative instructional coaching.

Secondary Research

We reviewed educational and UX research papers focused on:

• AI-assisted instructional coaching

• Classroom engagement systems

• Data-driven educational decision making

• Accessibility in educational technology

• Teacher evaluation frameworks

Major Insights

• Teachers preferred actionable insights over raw analytics

• Multi-source feedback improved instructional quality

• Accessibility increased platform adoption and trust

• Simplified workflows reduced educator burnout

• Transparent AI systems improved user confidence

User Interviews & Surveys

We conducted interviews and surveys with educators and stakeholders to identify workflow pain points and user expectations.

Teachers Needed

• Faster feedback loops

• Simplified classroom analytics

• Better student participation visibility

• Reduced administrative effort

Instructional Coaches Needed

• Structured observation workflows

• Easier documentation systems

• Progress tracking visibility

Administrators Needed

• Centralized reporting systems

• Consistent evaluation frameworks

• Data-backed instructional decisions

Personas

We developed personas representing the platform’s primary stakeholders.

Teacher Persona

Focused on improving classroom engagement while minimizing administrative complexity.

Instructional Coach Persona

Needed efficient observation workflows and collaborative feedback systems.

Administrator Persona

Required centralized visibility into instructional performance and classroom trends.

The personas helped prioritize platform features, dashboard structures, and workflow organization.

Journey Mapping

Journey maps helped identify friction points across instructional coaching and classroom evaluation workflows.

Key Pain Points

• Manual evaluation processes

• Delayed instructional feedback

• Inconsistent classroom observations

• Information overload in reporting systems

• Limited collaboration between educators and administrators

These findings guided the redesign of the coaching and analytics experience.

Information Architecture

The platform architecture was redesigned around role-specific experiences to simplify navigation and reduce cognitive overload.

Core Platform Areas

• Teacher Dashboard

• Admin Dashboard

• Coaching Workflow

• Classroom Analytics

• Feedback & Reporting System

Outcome

The new structure improved workflow clarity and task efficiency across stakeholder groups.

Ideation & Wireframing

We explored multiple dashboard layouts, analytics systems, and coaching workflows through iterative design exploration.

Continuous feedback loops helped refine usability and simplify navigation patterns.

High-Fidelity Design

The final interface emphasized clarity, accessibility, and actionable data visualization.

Key Features

• AI-powered instructional insights

• Multi-role dashboards

• Classroom engagement tracking

• Observation and coaching workflows

• Responsive and accessible layouts

The design system prioritized consistency, readability, and reduced cognitive load.

Usability Testing

Usability evaluations were conducted with teachers, administrators, and instructional coaches to validate workflow clarity and dashboard usability.

Final Solution

The final product delivered a centralized instructional coaching ecosystem designed to improve teaching effectiveness through AI-assisted insights and collaborative educational workflows.

Final Deliverables

Impact

Key Learnings

Reflection

This project strengthened my ability to:

• Conduct end-to-end UX research

• Translate research into product strategy

• Design complex multi-user systems

• Facilitate usability testing

• Create accessible and data-driven digital experiences

The experience deepened my understanding of designing responsible AI-powered educational products that balance analytics, usability, and human-centered design.