Turning Behavior Into Actionable Insight: AI-Powered Behavior Tracking Tool for Education Teams
ABC does-it helps special education teams turn raw behavior data into clear, actionable insights. Instead of spending hours interpreting unstructured ABC notes, educators can systematically document environmental factors, identify behavior patterns, and develop targeted interventions that lead to faster, more informed decisions and better resource allocation.
My role:
Product Designer
Duration:
12 days
Industry:
Education, B2B SaaS
Deliverables
User Interviews & Surveys
Stakeholder Map
Competitive Analysis
AI-driven Prototypes
User Testing
SUS Score Reporting
Storyboarding
92%
task success rate
$1.2K
estimated recovered time value per teacher, per year
88/100
"excellent" System Usability Scale (SUS) Score
Problem Statement
Over 70% of K-12 classrooms rely on paper-based ABC data collection, causing inconsistent interpretation and delays in behavioral insights for education teams, leading to slower, less effective interventions for students.
Project Overview
Design Sprint Ideation
Over a focused 12-day design sprint, I consolidated research, ideation, and prototyping into a single, structured process to rapidly shape the ABC Data Collection Tool. Informed by The Handbook of Human-Centered Design Methods, the sprint established user alignment, mapped behavior-management challenges to design opportunities, and produced a validated prototype ready for testing.
12 day
design sprint
method
Looking
Observing the Human Experience
ETHNOGRAPHIC RESEARCH
Interviews & Surveys
EVALUATIVE RESEARCH
Heuristic Review
System Usability Scale
Understanding
Analyzing Challenges and Opportunities
PEOPLE & SYSTEM
Stakeholder Map
PROBLEM FRAMING
Abstraction Laddering
Making
Envisioning Future Possibilities
MODELING & PROTOTYPING
Storyboarding
AI Prototyping
DESIGN RATIONALE
Concept Posters
Business Rationale: Objectives & Goals
Understanding the Why
Long-term business objective:
Evolve ABC Does-it into a universal behavior tracking platform, expanding beyond education to serve broader contexts. This shift increases total addressable market (TAM) and positions the product as a scalable tool for understanding and improving human behavior.
Business goals:
Efficiency & Accuracy → Reduce average data entry time while improving data consistency and clarity with responsive design
AI-Assisted Insight → Use machine learning to highlight trends, flag risks, and generate actionable recommendations that support education teams
District Value → Provide administrators with time-savings and compliance metrics that translate into measurable cost savings
Adoption & Usability → Deliver an intuitive, calm user experience that aligns with real classroom conditions and anticipates teacher workflows
The Solution
Connecting Data Within a Tiered Team System
Guided data collection
I broke down the data import process into manageable steps, ensuring each step comprehensively addresses each subsectionof the behavior import journey.
Design for all devices
Classrooms and districts vary in technology access. Designing for all screen sizes ensures every educator can work seamlessly, wherever they are.
Adminstrative data visualization
Focused data visualization helps admins spot patterns instantly, building day-to-day confidence and enabling faster, more informed decisions.
Clear visibility & comprehension
A clear, calm visual identity reinforces hierarchy and balance, creating an interface that feels structured, approachable, and easy on the eyes throughout the user journey.
Phase 1: User collecting the data

Project Overview
Business Rationale
The Solution
Subjective inputs and manual synthesis efforts slow meaningful insights
Phase 1: Collecting Data
Phase 2: Synthesis & Insights
Phase 3: Planning & Implementation
Define System Strategy
Stakeholder map = understanding the system
Storyboarding the data journey
Design Decisions
Decision 1: design for day to day import
Decision 2: drill down, zoom-in, zoom-out
Decision 3: AI-assisted decision making
Detour! Testing our assumptions
Where we landed
