Research & Behavioral Systems
ABA Data Visualization System
The behavioral data model and interactive visualization system are currently being developed. This record distinguishes planned capabilities from completed work.
Context
The work in context.
Behavioral records can become difficult to interpret when context, change over time, and missing data are separated.
Case study summary
What did Juan build?
A developing model for making behavioral data easier to inspect and discuss.
This case study was last reviewed on . Project details and limitations are identified throughout the page.
Role, audience and objectives
Responsibility carried through the system.
Juan's role
- Problem framing
- Data-model exploration
- Visualization research
- Privacy and ethics planning
Audience
- Behavior analysts and supervised care teams
- People reviewing progress with practitioners
Objectives
- Explore legible trend, event, and context views
- Support discussion without reducing a person to a score
- Design privacy boundaries before implementation
Behavioral lens
- Repeated measurement
- Contextual interpretation
- Socially meaningful outcomes
Intended audience
The concept is aimed at behavior analysts, supervised care teams, and people participating in progress review. Exact permissions and workflows remain open design questions.
Planned data types
Proposed inputs include repeated measures, time and context, relevant events, program phases, and notes that help a team interpret a pattern. These are planned—not completed—features.
Proposed visualization system
The current direction combines time-series views, event annotations, phase boundaries, and plain-language summaries. Any chart should also have a readable table or text equivalent.
Ethics and privacy
The design must minimize sensitive data, restrict access by role, avoid unnecessary identifiers, document changes, and make uncertainty visible. Privacy review belongs in the architecture, not at the end.
Current phase and next milestones
The project is in data-model and interaction-definition work. Next milestones are practitioner review, sample-data prototyping, accessibility testing, and a documented privacy model.
Information architecture and visual direction
Important structural decisions.
Information architecture
- Client and program context
- Time-series measures
- Event annotations
- Review and reflection notes
Design decisions
- Use a blueprint motif to communicate an unfinished system
- Label all planned capabilities as proposed
- Keep privacy and informed access visible in the design model
Technical implementation
Infrastructure, responsive behavior, and access.
Email, forms, payments and platform
- Data model under development
- Interactive visualization architecture under evaluation
Accessibility and responsive design
- Charts will require text summaries and tabular alternatives
- No meaning should depend on color alone
- Keyboard interaction and zoom are planned requirements
Available evidence
What can—and cannot—be claimed.
Available outcomes
- Concept framing and build questions are documented
Limitations
- No completed interactive system is claimed
- Planned data types and privacy model require practitioner review
Reflection
What the project clarified.
A useful data system should help people ask better questions. It should never make the record look more certain than it is.