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NCX Mentor Revenue Program

This page explains how you earn as an NCX Mentor Partner. It’s simple, transparent, and aligned with student success: you earn based on your students’ real runtime usage. Lessons and certifications are free for students; your revenue comes from their Core and AI runtime.

TL;DR​

  • You earn from student runtime (pay‑as‑you‑use): Core + AI.
  • Student discounts apply to runtime and are reflected in your payout (aligned incentives).
  • Your payout is a share of NCX’s blended runtime margin on the student’s net usage. Internal margin ratios are not disclosed.
  • Performance matters: a base share (e.g., 40%) plus a performance multiplier (up to +10%) tied to CSAT, cohort certification rate, and mentor level.
  • CSAT (student satisfaction) directly impacts your performance multiplier; sustained low CSAT triggers coaching or capacity limits.

How your earnings are calculated​

Key terms (per student, per month):

  • C_gross = student’s Core runtime € before discount
  • A_gross = student’s AI runtime € before discount
  • d = runtime discount rate (onboarding, certification bonus)
  • C_net = C_gross × (1 − d)
  • A_net = A_gross × (1 − d)

NCX computes a blended runtime margin M on these net amounts (internal).
Your payout is a percentage of that margin:

  • Base share: s_base (e.g., 40%)
  • Performance multiplier: m (e.g., up to +10% based on cohort certification rate, CSAT, and your mentor level)
  • Effective share: s_eff = s_base × (1 + m)
  • Monthly payout per student: Payout_mentor = M × s_eff

Notes:

  • Student discounts reduce net usage and therefore reduce M and your payout. This keeps incentives aligned with real, net consumption.
  • Internal margin ratios and their calculation are not disclosed.

Student discounts (impact on payout)​

  • Onboarding discount: e.g., 20% off runtime for the student’s first 3 months.
  • Certification bonus: e.g., +10% off runtime for 2 months after a level pass (temporarily raising total discount during that window).
  • A monthly discount cap applies and is visible to the student in billing.
  • Your payout is always calculated on net usage (after the student’s discounts).

Examples (without revealing internal margins)​

Assumptions for illustration:

  • s_base = 40%
  • If you earn a +10% performance multiplier, then s_eff = 44%
  1. Mixed usage in onboarding
  • Student usage before discount: C_gross €24, A_gross €40
  • Discount: d = 20% → C_net €19.20, A_net €32.00
  • NCX computes a blended margin M internally on these net amounts.
  • If your dashboard shows M = €30 for this month, your payout = €30 × 0.40 = €12.00
  • With +10% performance (s_eff = 0.44): payout = €30 × 0.44 = €13.20
  1. Same usage in a certification‑bonus window
  • Discount higher (e.g., total 30%) → net usage is lower; M will be lower.
  • If your dashboard shows M = €26, your payout = €26 × 0.40 = €10.40
  • With +10% performance: €26 × 0.44 = €11.44
  1. Heavier AI user (still onboarding)
  • Higher net usage typically raises M.
  • If M = €60, payout = €60 × 0.40 = €24.00
  • With +10% performance: €60 × 0.44 = €26.40

Tip: You do not need to calculate M. Your dashboard displays your payout and the inputs that matter (gross usage, discounts, net usage, and performance status).

CSAT (Customer Satisfaction) — how it affects your payout​

CSAT TL;DR​

  • CSAT = how satisfied students are with your support (1–5 rating).
  • We track both Top‑2‑Box (percentage of 4–5 ratings) and Average rating; the multiplier primarily uses the 30‑day rolling Average rating.
  • High CSAT boosts your performance multiplier. Low CSAT triggers coaching and may limit capacity.

What is CSAT?​

  • A quick 1–5 rating students give after key interactions:
    • Weekly huddle, resolved async thread, capstone review, or a monthly “pulse.”
  • Example question: “How satisfied are you with the mentor support you received?”
    • 1 = Very dissatisfied … 5 = Very satisfied

How we calculate and use it​

  • Reported metrics: Top‑2‑Box % and Average rating (1–5).
  • For performance bonuses, we mainly use the 30‑day rolling Average rating with a minimum sample size (e.g., 20 responses).
  • Example thresholds (illustrative):
    • CSAT Average ≥ 4.7 → +3% performance boost (part of the total up to +10%)
    • 4.3–4.69 → neutral (no bonus)
    • < 4.3 → coaching flag
    • < 4.0 (sustained) → pause new assignments until improved

Frequency and fatigue control​

  • We limit prompts (e.g., at most one CSAT prompt per student per week).

Data quality and anti‑gaming​

  • Each CSAT prompt is tied to a real event.
  • One response per student per event; open‑text feedback encouraged.
  • Outlier detection and random audits.
  • Minimum sample size required for bonuses.

Practical ways to improve CSAT​

  • Respond fast (<24h weekdays) with clear next steps.
  • Use rubrics and checklists to give actionable feedback.
  • Unblock the most students in group huddles; summarize outcomes in threads.
  • Keep a friendly, concise tone; celebrate wins.

Students see a short, optional rating with a comment box—no pressure to rate every time.

Attribution and matching​

  • Students choose you in the mentor marketplace; their runtime is attributed to you from that moment.
  • Attribution window: 12 months from assignment. If a student switches mentors, future runtime is attributed to the new mentor (past months are not reallocated).
  • “Active student” is based on recent activity (runtime or coursework) in the last 21–30 days. Inactive students don’t count toward capacity while inactive.

Capacity, service level, and quality​

To protect student experience (and your CSAT), capacity is managed.

Recommended start:

  • Start cap: ~40 active students
  • Scale toward ~60 with strong metrics

Weighted cap (more precise):

  • Each active student = 1 point
  • +1 point if “heavy runtime” (above a usage threshold)
  • +1 point if “at risk” (falling behind)
  • Cap in points is tied to your weekly hours (e.g., 10 h/week ≈ 60 points)

Service cadence:

  • Weekly 30‑minute group huddle (5–15 students per session)
  • Async support with <24h response time on weekdays
  • Optional monthly 1:1 for students who are behind (limited slots)

Scale‑up criteria (quarterly review):

  • CSAT ≥ 4.7/5
  • Cohort certification rate ≥ 30–40%
  • SLA compliance ≥ 90%
  • Audit pass‑rate OK

Payout schedule and dashboard​

  • Monthly payout, within 15 days after month close.
  • Mentor dashboard shows:
    • Gross usage (Core and AI), discounts, net usage
    • Your base share, performance status (including CSAT metrics), and total payout
    • Trends: student activity, CSAT, certification rate, SLA compliance

Internal margin details are not disclosed. You see the inputs you influence and the payout outcome.

Eligibility and onboarding​

  • Free mentor onboarding: pedagogy, rubrics, tools, SLA.
  • Certifications: phased requirements (e.g., NCX‑1 recommended initially; NCX‑1 required after ramp; NCX‑2+ can unlock higher performance multipliers).
  • Code of conduct and quality audits.
  • No self‑dealing: your own org/usage doesn’t count toward payout.

Anti‑gaming and compliance​

  • Discounts apply only to runtime (Core + AI), not external add‑ons.
  • Fraud, plagiarism, or manufactured usage leads to clawbacks and program removal.
  • Random audits of feedback, exam reviews, and usage patterns.
  • Transparent dispute and reassignment policy for students with low CSAT.

How to grow your mentor revenue​

  • Drive early activation: help students move from Study Mode to real Production usage.
  • Improve pass rates: certifications correlate with sustained, higher‑value usage.
  • Keep responses fast and precise: SLA <24h, actionable rubric‑based feedback.
  • Run crisp weekly huddles to unblock many students at once.
  • Balance your roster: adjust hours if you have many “at risk” or heavy users.

FAQ​

  • Do I pay to be a mentor?
    • No. Onboarding and participation are free.
  • What exactly generates my revenue?
    • Student runtime (Core + AI) after their discounts are applied.
  • Do student discounts reduce my payout?
    • Yes. Payout is based on net runtime after the student’s discount (aligned incentives).
  • Are both Core and AI counted?
    • Yes. Both are runtime and count toward your payout. Internal margin ratios are not disclosed.
  • When do I get paid?
    • Monthly, within 15 days after month close, visible in your mentor dashboard.
  • What if a student uses only Study Mode?
    • Study Mode uses mocks and often consumes no runtime—great for learning, but there’s no payout until they use Production.
  • Can I lose attribution if a student switches mentors?
    • Future usage moves to the new mentor; past payouts remain as recorded.

Get started​

  1. Complete mentor onboarding and set your availability.
  2. Publish your profile (language, specialties, time zone).
  3. Join the marketplace and accept your first students.
  4. Run weekly huddles, keep SLA, and aim for high CSAT and certifications.
  5. Track usage and payouts in your dashboard; scale capacity as you hit the metrics.

For current student pricing and billing context, see: