What we hope to change
Preserve expert judgment while making preparation and follow-up easier to sustain.
Why this was difficult
Service knowledge is often personal and context-dependent; repeated preparation and feedback consume expert time.
Conditions that may change
Hypothesis: reusable process descriptions and AI-assisted preparation could reduce repetitive work while leaving decisions with qualified people.
Proposed mechanism
Describe one service workflow, distinguish reusable preparation from professional judgment, and introduce reviewed assistance plus a feedback loop. Coaching is one candidate context, not a committed study.
Type of innovation
Service organization and system combination, rather than a claim of new diagnostic technology.
Beneficiaries
People seeking sustained learning or development support and professionals delivering it.
Potential users
Qualified service providers and adults participating in a clearly scoped service process.
Potential payers
Possibly users, service providers or commissioning organizations; pricing and repeat adoption need study.
Existing alternatives
Individual expert sessions, standardized courses, existing coaching tools and manual follow-up.
Critical assumptions
Quality is maintained; time burden decreases; users keep engaging; the workflow transfers beyond one expert or setting.
Likely failure modes
Automation could hide important context or shift extra checking work onto the expert.
Commercial possibility
Hypothesis: service fees or workflow licensing may be viable only if professional review costs and continued use support them.
Local and social value
Could improve continuity and affordability. Experts need a fair share of benefits; users need consent and a clear route to human judgment. Poor advice and unequal access remain risks.
Practical feasibility
Requires an experienced provider and one clearly bounded adult-facing process. The proposed first test excludes children, health-data collection and diagnostic claims.
Smallest proposed test
Propose an adult-facing preparation task: record the current workflow, define a quality rubric with the professional, and compare manually reviewed assistance using synthetic examples before any live use.
Evidence to continue
Continue if reviewers see no material quality loss, recorded workload improves and the provider wants a second test.
Reasons to pause
Pause if checking exceeds saved work, users misunderstand the assistance, or safe human review cannot be maintained.
Resources and actual stage
Published concept note. No dedicated team, committed budget, partner, facility or pilot is established for this proposal.
Collaboration needs
An experienced professional, a process owner and a reviewer who can challenge quality assumptions.
Related frontier
Related research and its limits
Research judgment · 002
Human Movement Intelligence: Toward a Foundation Model of the Human Body
Clarifies the boundary between validated measurement and broader service claims; does not validate this proposed service model.
Actual content update 2026-08-15 · Version 0.3
Read research and sources ↗These sources inform capability boundaries. They do not establish demand, pricing or the effectiveness of this proposed mechanism.
Peer-reviewed validation of smartphone-video biomechanics.
PLOS Computational BiologyOpen source ↗