What to Log for Strength Training
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For every resistance set, capture the exercise, the load, reps completed, and effort — these four fields make a strength log analyzable.
Detail
A useful strength log records each working set as a row containing, at minimum: the exercise, the load (weight lifted, in kg or lb), the repetitions completed, and an effort marker (RPE or RIR — see rpe-rir-logging). Warm-up sets can be noted but are usually excluded from working-volume math.
From those raw fields, every higher-order strength metric is derived:
- Volume load = sets × reps × load (see training-volume-load) — the single most useful progress driver to trend over weeks.
- Tonnage = total weight moved in a session (see tonnage).
- Estimated 1RM from a load×reps set (see estimated-1rm-trend) — lets you compare a heavy triple to a set of ten on the same scale.
- Personal records (see personal-records) — flagged automatically when a load, rep, or estimated-1RM ceiling is beaten.
Recommended additional fields: rest taken between sets (see rest-taken), tempo if prescribed, and a free-text note (pain, form breakdown, equipment, distraction). Logging sets to failure or near-failure matters because two "3×10" sessions at the same load are not equivalent if one stopped at RIR 3 and the other at RIR 0.
Log at the set granularity, not the session, so the data layer can roll up to session, exercise, muscle group, week, and mesocycle. Per-set logging is what enables auto-regulation and volume-progression rules downstream (see progressive-overload-application, volume-progression-tracking).
Key facts
- Minimum per-set fields: exercise, load, reps, effort (RPE/RIR).
- Strongly recommended: rest interval, tempo (if prescribed), note.
- Volume load = sets × reps × load; the primary weekly progress metric.
- Log at set granularity so it can roll up to session / muscle / week / block.
- Distinguish warm-up sets from working sets in the schema.
Connections
- training-volume-load — the headline derived metric.
- rpe-rir-logging — the effort field that makes sets comparable.
- estimated-1rm-trend — normalizes load×reps to one strength number.
- personal-records — auto-flagged from logged sets.
- progressive-overload-application — consumes the log to decide load/volume changes.
Educational content only — not medical advice. Always consult a qualified professional for individualized guidance, especially around injury, pregnancy, or medical conditions.