Curriculum Development Pipeline

Effort Allocation

1. Needs Assessment 50

2. Objective Definition 45

3. Resource Selection 40

4. Implementation Readiness 35

Budget

Effort spent: 170 / 240 cap
Within budget

Pipeline Health

Weakest link: —

Curriculum Quality

Objective Coverage

Resource Efficiency

Implementation Rdy.

How it works

This models the classic backward-design curriculum pipeline (Tyler / Wiggins & McTighe): four sequential stages, each depending on the quality of the one before it. Each stage's raw effectiveness saturates with diminishing returns on the effort you assign it:

E_raw(effort) = 100 · (1 − e^(−effort / 40))

A shared effort budget (240 units) forces trade-offs — spreading effort thin across all four stages scales every raw score down:

budgetFactor = min(1, 240 / Σeffort)
E_raw' = E_raw · budgetFactor

Then each downstream stage is capped by how solid the previous one was — a shaky needs assessment can't be rescued by a brilliant resource list built on top of it:

B(prevE) = 0.4 + 0.6 · (prevE / 100)
E(i) = E_raw'(i) · B( E(i−1) )      for i = 2,3,4
E(1) = E_raw'(1)

Overall curriculum quality is a weighted blend, with Objective Definition and Resource Selection weighted highest since they anchor instruction and assessment:

Quality = 0.20·E1 + 0.30·E2 + 0.30·E3 + 0.20·E4

Weakest link — the lowest-scoring stage, i.e. the one currently bottlenecking everything after it.
Balanced / Front-load / Randomize — preset or randomized effort allocations, so you can compare strategies quickly.
Watch the 3D pipeline: each stage is a tower whose height is its effectiveness, and the particle stream between towers thins out whenever the upstream stage is weak.

Strong stage Weak / bottleneck

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