research-document RFR-A8899487
Map boundary conditions and failure regimes: Beautiful Digital Experiences Evidence Registry
RFR-A8899487 — Map boundary conditions and failure regimes: Beautiful Digital Experiences Evidence Registry
Research opportunity
Map boundary conditions and failure regimes for the claims or recommendations in “Beautiful Digital Experiences Evidence Registry.”
Background
The originating artifact is accepted by the repository publishing inventory with status “active.” Its Registry rules section provides the immediate evidence boundary.
Evidence trace
- Origin document: content/projects/beautiful-digital-experiences/evidence-registry/beautiful-digital-experiences-evidence-registry-v0-1.md
- Section:
Registry rules - Specific assumption challenged: The source's treatment in “Registry rules” is sufficiently supported for its intended scope.
- Supporting evidence excerpt: “- A record describes what a source can support, not everything it mentions. - Observation and interpretation remain separate. - support means relevant evidence, not proof of the whole hypothesis. - Population, stimulus, task, duration, and measurement boundaries travel with a claim. - Current evidence strength is a cl…”
- Reason this opportunity exists: The conditions under which the documented recommendation weakens, reverses, or creates a competing cost.
Unknowns
- The conditions under which the documented recommendation weakens, reverses, or creates a competing cost.
Dependencies
Suggested REP and methodology
- Suggested REP:
REP-EVREG-BDE-001-BOUNDARY - Methodology: Use a factorial stress test across task, user, context, device, and consequence variables; model interactions rather than relying on aggregate means.
- Expected outputs: Boundary-condition matrix, failure taxonomy, interaction model, and revised scope statement.
- Success criteria: At least one credible failure regime is tested and the valid operating envelope is quantitatively described.
- Recommended agent:
experimentation-research-agent - Estimated effort: Medium
- Expected knowledge gained: The conditions under which the documented recommendation weakens, reverses, or creates a competing cost.
Evaluation
| Dimension | Score (1–5) |
|---|---|
| Knowledge gain | 4 |
| Potential impact | 5 |
| Cross-project reuse | 5 |
| Scientific importance | 5 |
| Dependency cost | 5 |
| Implementation difficulty | 4 |
| Frontier score | 491 |
Confidence in this opportunity: moderate. Status: Open.