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Project Efficiency Profile Framework
This tool implements a novel framework for optimizing effort allocation across multiple projects by modeling each project's efficiency journey as a parametric curve.
Core Concept
Traditional project evaluation uses simple ROI or total value metrics. This framework captures the complete efficiency journey - how value-per-effort changes throughout a project's lifecycle.
Efficiency(effort) = Value produced per unit of effort at that point
Key insight: Partial completion is often optimal. Many projects should be stopped before 100% when efficiency drops below what you could get elsewhere.
The Parameters
| Parameter |
Symbol |
Meaning |
Impact |
| Activation Energy |
A |
% effort before any returns |
Higher = longer "dead zone" |
| Pareto Index |
PI |
% effort at peak efficiency |
Higher = peak comes later |
| Ramp Rate |
R↑ |
How fast efficiency grows |
Higher = steeper growth |
| Decline Rate |
R↓ |
How fast efficiency drops |
Higher = sharper cliff |
| Peak Value |
Vmax |
Maximum efficiency achieved |
Higher = better returns at peak |
| Max Hours |
Hmax |
Hours to 100% completion |
Scales effort % to real time |
Project Archetypes
- Quick Win: Low A, early PI, high R↓ - Get in, get value, get out
- Marathon: High A, late PI, low R↓ - Long investment with sustained returns
- High Risk: Medium A, medium PI, very high R↓ - Good returns but timing critical
- Plateau: Low R↑ approaching PI - Efficiency flattens before peak, early stop optimal
The Optimization Algorithm
The algorithm allocates time using a greedy approach with modifications:
- Diversity First: If set, ensures minimum projects get activated
- Efficiency Maximization: Allocates next increment to highest-efficiency project
- Activation Bonus: Prioritizes getting projects past dead zones
- Smart Stopping: Stops when all projects fall below efficiency threshold
Score = Efficiency + (InActivation ? ActivationBonus : 0) - LateStagePenalty
Practical Applications
- Research Projects: High activation, high peak value, variable decline
- Skill Learning: Medium activation, infinite value persistence, gradual decline
- Content Creation: Low activation, medium peak, sharp decline
- Relationship Building: Medium activation, high optionality value
Advanced Concepts
Asymmetry (α): R↑/R↓ ratio - indicates if project is front-loaded or back-loaded
Early Stop Value: % of total value achieved at 90% effort - key decision metric
Value Persistence: How long value lasts after effort stops (not modeled here but important)
Optionality: Future opportunities unlocked (not quantified but consider qualitatively)