Framework

The Retainable Power Index (RPI™)

Retainable Power Index (RPI™)

A measure of how much output an athlete can maintain across sets relative to their peak output.

RPI™ shifts evaluation from:


    •    How high performance peaks

to:


    •    How well performance holds under repeated exposure

First Principle

If output cannot be retained, it cannot be relied on.

Peak output reflects potential.


RPI reflects usable performance.

Why RPI™ Exists

Most performance systems emphasize:


    •    Peak output
    •    Max velocity
    •    Single-rep performance

But training and sport demand:


    •    Repeatability
    •    Stability under fatigue
    •    Consistent output across efforts

RPI answers:


    •    “Can this output be repeated?”
    •    “Will this performance hold under load?”
    •    “Is this level of output actually usable?”

RPI helps quantify output behavior.
To determine when changes are needed:
👉 Drop-Off Threshold Rule™

How RPI Works

RPI evaluates how output is retained across multiple sets, using the first set as a reference point.

RPI is calculated by comparing average output across sets to peak output, expressed as a percentage.

Each subsequent effort is assessed relative to that baseline, and the system determines:


    •    How much output is maintained
    •    How quickly it declines
    •    How consistent performance remains

👉 The result is a single value (RPI %) that reflects:

• Overall retention of output across the session

Want to measure this in your own training?
→ RPI Output Scoring System ($19)

Measurement Methods

RPI can be assessed using different methods depending on available tools and training context:

• Direct Measurement (Velocity / Power)


  – Uses objective output data
  – Most precise representation of output retention

• No-Tech Scoring (0–1–2 System)


  – 2 = Full output maintained
  – 1 = Slight degradation
  – 0 = Clear breakdown
  *Provides a practical estimate of retention without technology

The method used does not change the principle:

RPI measures how well output is reproduced across efforts

Interpretation thresholds may vary slightly depending on movement sensitivity and measurement precision.

RPI Classification System

Interpretation Layer

RPI provides a performance signal, not just a number.

High RPI

    •    Output is stable across sets
    •    Load is appropriate
    •    Performance is transferable

Moderate RPI

    •    Output is beginning to degrade
    •    Fatigue is accumulating
    •    Monitoring is required

Low RPI


    •    Output is not sustainable
    •    Fatigue is limiting performance
    •    Adjustment is required

Pattern Recognition

RPI is evaluated alongside how output changes across sets.

The system identifies patterns such as:

Early Drop


    •    Sharp decline immediately after the first set

Indicates:


    •    Excessive initial intensity
    •    Insufficient readiness

Gradual Decline


    •    Progressive reduction across sets

Indicates:


    •    Fatigue accumulation
    •    Volume/load imbalance

Inconsistent Output


    •    Fluctuating performance across sets

Indicates:


    •    Instability or control limitations

Tight Clustering


    •    Minimal variation across sets

Indicates:


    •    Strong repeatability and control

To apply this within training:
👉 Output Retention Programming (ORP™)

Decision Framework

RPI drives clear training decisions:

High Retention

👉 Progress


    •    Increase load or intensity exposure

Moderate Retention

👉 Hold


    •    Maintain current structure
    •    Monitor trend

Low Retention

👉 Adjust


    •    Reduce load
    •    Modify structure
    •    Improve recovery strategy

RPI Across Sessions

Single session = snapshot


Multiple sessions = trend intelligence

Improving RPI


    •    Adaptation is occurring

Stable RPI


    •    Current load is appropriate

Declining RPI


    •    Fatigue or overload accumulating

To understand how retention evolves over time:
👉 Power Retention Model

Integration Within the EVZ System

RPI is the foundation of:


    •    Session Quality Score
    •    Zone Classification
    •    Drop-off Diagnostics
    •    Coach Reports
    •    Certified Recommendations

What RPI Replaces


    •    Peak-only evaluation
    •    Subjective fatigue assessment
    •    Guess-based progression
    •    Spreadsheet-driven analysis

Key EVZ Definitions:


    •    Retention Profile: pattern of how output is maintained, declines, or stabilizes across exposures
    •    Output Decay Rate: rate at which output declines across repeated exposures
    •    Output Stability: consistency of output across repeated exposures with minimal fluctuation
    •    Output Variability: degree of fluctuation in output across repeated exposures

👉 See full EVZ Definitions Framework

System Philosophy

Performance is not defined by what you can produce once—
but by what you can reproduce consistently.

RPI measures how much output an athlete can maintain across sets.

High RPI = stable, repeatable performance


Low RPI = early fatigue and drop-off

It tells you whether performance will hold—or break down.

RPI is context-dependent — the sensitivity of output loss varies by movement and environment.

Important Note

RPI is derived from structured retention analysis across sets and sessions, using proprietary logic to evaluate:


    •    Retention levels
    •    Performance consistency
    •    Fatigue patterns