Spaced Repetition Lab — The One Study Technique That Actually Works
A 90-day coaching simulation that turns spaced repetition theory into an installed practice.
A four-round, intermediate professional-education design simulation set inside Bayfront Professional Education, the self-funded continuing-education unit of a large public university in Miami, Florida (~6,000 learners/year, ~40 active programs, ~$14M net revenue at ~30% margin).
A four-round, intermediate professional-education design simulation set inside Bayfront Professional Education, the self-funded continuing-education unit of a large public university in Miami, Florida (~6,000 learners/year, ~40 active programs, ~$14M net revenue at ~30% margin).
The Dean has greenlit a new applied-data-and-AI program for non-technical managers but set three hard guardrails: a development-cost cap of $180,000 (inclusive of a marketing reserve), a mandated break-even of 60 paid enrollments across the first two cohorts, and a Summer 2026 launch at a 75-day gate.
Playing the Director of Professional Education, you must design the offering end-to-end and prove it clears break-even without breaching the cap.
Round 1 — diagnose three candidate learner segments (price-sensitive mid-managers at $1,800–2,400, employer-paid corporate cohorts at $3,500–4,500 but only ~40 feasible seats, and outcome-driven career-changers at $2,800–3,200) and pick a primary segment, learning that segment choice is the upstream decision that constrains everything downstream.
Round 2 — choose a delivery format (self-paced ~$90k/45% completion, live-cohort ~$150k/70%, in-person ~$175k/85% — which breaches the cap once marketing is funded) and build a line-item development budget under $180k.
Round 3 — set the learner price (and an optional corporate tier) and build the break-even model: contribution margin per learner = price − variable cost, enrollments required = development cost ÷ margin, and the marketing funnel to reach 60 paid seats. Round 4 — pitch the design to the Dean's gate, defend it against the cheap self-paced alternative, and name a contingency for under-enrollment.
The math rewards segment-first, value-based design that fits format to segment and clears break-even at a fillable price, and punishes the five classic errors: a course for everyone, pedagogy over the cap, margin over completion, cost-plus pricing, and an unfillable high price. Final KPIs track Design Fit, Projected Enrollments vs.
60-seat break-even, Margin Health, and the Renewal Engine (completion and learner NPS).
An intermediate simulation for participants who already know the core concepts of the subject, designed for master's and MBA programmes.
The decisions participants make during the simulation:
What participants follow on screen as the rounds go by:
Designed for courses in Education & Pedagogy.
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