Field Notes

Field notes for athlete data analytics.

Practical notes on the questions coaches actually ask: what to change, what to watch, when to wait, and how to give an AI coaching agent the evidence packet before it writes.

4 published 3 planned Coach-first explanations Measured, not marketed
Latest note
Primer
PublishedJune 16, 2026
Reading time5 minutes
In one lineState is not cause.

Readiness scores tell you today. They do not tell you the lever.

Why one recovery number can be useful context and still fail to answer what a coach should change in training.

Read the note
Published and plannedBuilt around search intent
Coach decisionPublished

What should I change for this athlete this week?

A plain-English guide to turning athlete exports into one defensible weekly training adjustment.

6 minRead
AI coachingPublished

Why AI coaching agents need an evidence packet before they advise.

Give the agent the driver, effect, interval, sample, caveats, and claim license before it writes.

6 minRead
MethodPublished

The same load that built them last week is breaking them this week.

A field guide to effect modifiers, the condition under which an average training effect flips sign.

4 minRead
Within-athleteForthcoming

When the same signal means different things for different athletes.

Population studies describe a cohort your athlete may not resemble. The training call has to come from their own history.

Est. 6 minJul 2026
MethodForthcoming

Why not enough evidence yet is a coaching feature, not a failure.

Most tools render a verdict on three data points as confidently as on three hundred. The case for withholding one.

Est. 5 minJul 2026
MethodForthcoming

What survives refutation checks

How placebo shifts, uncertainty, and evidence gates separate a finding from a flattering fit.

Est. 6 minAug 2026

One note when one ships. Nothing in between.

No digest, no drip. We email when a field note is published — about once a month — and never about anything else.

Keep me posted