Introducing Session Logging — Scores, Loads, RPE, and Notes

Release v1.0.82

With this release, members can now log every completed session directly in the platform — capturing scores, movement loads, perceived effort, and personal notes in one place. This is a foundational piece of the training feedback loop, and it plugs into nearly every intelligent system in the platform.

Why Session Logging Matters

A training programme is only as smart as the data feeding it. Until now, the platform could deliver personalised sessions — but had limited visibility into how those sessions actually went. Session logging closes that gap.

When a member records what they lifted, how hard it felt, and what their score was, that information immediately becomes useful to:

• The AI personalisation engine, which adjusts future programming based on real performance data rather than assumptions
• The Performance Passport, which builds a longitudinal record of every member's progress
• The churn risk dashboard, which uses training engagement as a signal when identifying at-risk members

What Gets Logged

Each session log captures four things:

Score — the headline result for the workout. Whether that's a time, a number of rounds, or a rep count, the score gives a single comparable output for tracking improvement across repeated workouts.

Loads per movement — weight logged at the individual movement level. This means the platform knows not just that a member completed a session, but exactly how much they lifted on each exercise.

RPE (1–10) — Rate of Perceived Exertion. This is the subjective counterpart to the objective load data. A set lifted at RPE 9 tells a very different story to the same weight lifted at RPE 6. Pairing loads with RPE gives the AI engine a much richer picture of a member's current capacity and recovery state.

Notes — a free-text field for anything else. Members can record how they felt, modifications they made, or anything else relevant. Coaches can reference these notes when reviewing a member's history.

Automatic PR Detection

There's no need to manually flag personal records. Every time a member submits a load, the platform runs PR detection automatically. New PRs are identified and recorded without any extra steps — for the member or the coach.

What This Enables Next

Session logging is the input layer for a number of connected systems:

• Coaches reviewing member performance will now have actual load and RPE history, not just attendance data
• The AI personalisation engine can begin making evidence-based adjustments to intensity and volume
• The churn risk model gains a high-signal engagement metric
• The Performance Passport becomes a meaningful record of progress, not just a training calendar

This release is available now. Members will see the session log interface after completing any scheduled session.