Squad TrackerDEStart free with your team Share morning feedback
Athletes record sleep duration, sleep quality, daily form and leg comfort. HRV is optional. Resting heart rate, back comfort and health entries add context.
Included in the free base plan
Morning Check-in & Readiness
Daily feedback becomes a shared starting point for athletes and coaches.
How it works day to day
Review changes together
The dashboard shows readiness, individual inputs and tags. Personal history helps a coach distinguish an unusual day from a longer pattern.
Discuss today’s training
A signal starts a conversation: How was the night, what feels different, and does the planned load fit today? The coach decides together with the athlete.
Planned product screenshotMobile morning check-in390 × 844 px · ~9:20
A complete check-in with fictional sleep, daily form, leg comfort and HRV values. Show a plausible readiness score and the corresponding tags.
Planned product screenshotCoach view and readiness trend1440 × 900 px · 16:10
Compare fictional athletes, expand one athlete and show a 30-day readiness trend with individual values and tags.
What to know
What goes into the 1–10 score?
Daily form, sleep quality, leg comfort and sleep duration form the basis of the calculation developed with sports scientists. Not every check-in field directly affects the score. Reporting illness sets readiness to 1.
What if HRV or a long history is missing?
Check-ins remain usable without HRV. HRV contributes after at least 14 earlier valid readings within the preceding 90-day window. Individual adjustments of subjective values use at least seven previous entries.
How should tags and alerts be interpreted?
Individual values remain important alongside the overall score. Tags aid interpretation and are not a diagnosis. Critical conditions such as readiness ≤ 5, illness/injury entries or relevant monitoring flags can trigger status alerts; not every change creates a new push.
Why consider subjective well-being alongside HRV?
Perception matters.
The systematic review by Saw, Main and Gastin supports regular subjective well-being monitoring. In the studies reviewed, self-reported measures often responded more sensitively and consistently to training load than common objective measures.
Measurements need context.
Buchheit describes interpreting heart-rate measures alongside training logs and subjective questionnaires. This research supports the monitoring approach; it does not automatically validate the specific Squad Tracker formula.
How is your team before the next training session?
Start with the morning check-in. Expand when your team needs more.