TECHNICAL METHODOLOGY & VERIFICATION SPECIFICATION
MyCoachingBD: Mathematical Model, Units & Reproducible Benchmarks
Role & Domain Intent: Coaching-discovery workflow demo (Fictional providers; no real tutor marketplace, bookings or verified reviews.)
1. GOVERNING FORMULATION
Equations, Variables & Dimensional Rules
Fictional coaching-provider discovery and guardian or attendance workflows.
Provider Comparison Score = Σ w_i × Criterion_i (evaluated strictly on user-entered checklist weights across fictional sample profiles)
Declared Units: Checklist weights in %; batch size in students/batch; fee transparency and safeguarding verification flags (Boolean).
2. REPRODUCIBLE WORKED EXAMPLE
Step-by-Step Numerical Verification
Fictional Provider Evaluation Walkthrough: Comparing two fictional coaching profiles ('Sample Science Batch A' vs. 'Sample Math Mentorship B') using the 6-point Guardian & Student Evaluation Checklist highlights missing fee breakdowns, batch-size claims, and attendance communication rules without endorsing any real coaching centre or accepting bookings.
| Evaluation Dimension | Verification Question | Demo Data Status | Marketplace Status |
|---|---|---|---|
| Instructor & Batch Clarity | Are class size and instructor credentials documented? | 100% Fictional Profiles | No bookings or live listings |
| Fee & Refund Transparency | Are total fees, materials, and refund rules itemized? | 100% Fictional Profiles | No payment processing |
| Safeguarding & Attendance | How are guardian notices and attendance logs verified? | Workflow Simulation Only | No live messaging |
3. DATA PROVENANCE & OPERATIONAL BOUNDARIES
Validation Status, Scope Exclusions & Disclaimers
- Data Status: Synthetic / precomputed browser demonstration fixtures generated deterministically from the project engine.
- Operational Limitation: No verified providers, bookings, messages or safeguarding service.
- Client-Side Execution: All interactive views, filters, and JSON/CSV exports execute locally in the user's browser with zero external API calls, zero telemetry, and no server-side persistence.
- Author & Principal Investigator: Mohammad Rezwan Khan, PhD (Aalborg University · BESS QA/QC & Power Systems Specialist).