Services
Three scoped lanes for teams working on complex creative tools, music technology, accessibility, or human-AI systems. Send the problem and the decision in front of you.
UX research and interaction design for complex tools
Research and interaction design for creative, music-tech, and AI-assisted tools. I connect observed user friction to the product decision it should change.
- Moderated usability study planning, facilitation, and synthesis
- WCAG 2.1 accessibility audits with tool evidence and prioritized findings
- Heuristic evaluations, cognitive walkthroughs, and interaction design
- Research reports that connect findings to a product decision
Proof: 15-participant usability study and NPR accessibility audit.
Bounded AI-agent and human-AI workflow design
Design agentic workflows around trust, control, feedback, and approval boundaries. The work stays bounded to the decisions a team can inspect and change.
- Workflow maps showing authority, handoff, and approval boundaries
- Trust, feedback, and failure-state requirements for agentic interactions
- Bounded retrieval, specialist routing, and human review specifications
- Code prototypes and evaluation plans for the chosen workflow
Proof: Clarence case study, including memory architecture, task boundaries, verification rules, and open failures.
Ableton, synthesis, and sound-design teaching
Teaching and curriculum work for Ableton Live, synthesis, sound design, and music-technology learning. The emphasis is on usable practice, clear mental models, and the learner's actual goal.
- Ableton Live teaching for beginner through advanced learners
- Subtractive, FM, granular, and wavetable synthesis lessons
- Sound-design workshops for groups or teams
- Music-technology curriculum design
Proof: Ableton UX Evaluation Suite and Pittsburgh Ableton User Group platform.
Good fit / Poor fit
Good fit
Complex creative, music-tech, accessibility, or AI-assisted tools where research can change a product decision.
Poor fit
Generic marketing sites, unchecked autonomous agents, vague “add AI” work, and projects where research findings cannot change the product decision.
To qualify the work, send the problem or role, intended users, timeline, relevant links or artifacts, and the decision that must be made.
Shape the ask