Approach

Evidence with humility. Structure with care.

I study how environments and information affect what people can understand and accomplish. The goal is not to control people. It is to remove avoidable barriers and make choices easier to see.

01

Everyday language first

Technical vocabulary is useful only when it makes the reasoning more precise. People should not need a glossary to understand the point.

02

Context matters

A pattern is interpreted alongside the environment, the task, and the individual—not as a detached number.

03

Meaningful outcomes

Measurement should return to what a person or team can do, understand, and choose in the real setting.

ABA-Informed Design Pathway

Five translations from research to practice.

Each step connects an everyday need to a restrained behavioral concept and a practical design implication.

  1. Stimulus salience and attending

    Make What Matters Easy to Notice

    Visual hierarchy, contrast, and placement make task-relevant information easier to distinguish from supporting detail. The most useful next action should stand out without competing unnecessarily for attention.

    Design implication: prioritize the next useful action, then layer in supporting detail.

  2. Discriminative stimuli

    Use Clear Cues for Action

    Labels, controls, and interface states should signal which actions are available and which are likely to work. Consistent cues reduce guesswork and help people move through a system with greater confidence.

    Design implication: use stable labels, recognizable controls, and predictable states.

  3. Task analysis, prompting, and fading

    Support Progress in Manageable Steps

    Complex tasks become more approachable when they are divided into meaningful steps and supported at the moment help is needed. That assistance should gradually recede as the person becomes more capable of completing the task independently.

    Design implication: sequence difficult tasks, provide timely guidance, and fade support when it is no longer needed.

  4. Consequences and reinforcement

    Make Outcomes Clear and Consistent

    Immediate, accurate feedback helps people determine whether an action worked. A consequence functions as reinforcement only when it makes the behavior it follows more likely to occur again.

    Design implication: confirm outcomes, preserve progress, and make effective actions easy to repeat.

  5. Social validity and data-based decisions

    Measure Meaningful Outcomes

    A useful system should be evaluated by outcomes that matter to the people using it. Measure whether important tasks become more successful, efficient, or independent, identify barriers, and revise the environment when results fall short.

    Design implication: define observable success with users and let the results guide refinement.

Ethical foundation

Autonomy and dignity are part of the method.

Behavior analysis is strongest when socially meaningful goals, informed choice, compassion, and respect are treated as requirements. In digital work, that means avoiding deceptive pressure, making outcomes understandable, and allowing people to change their minds.