What clients submit
Each daily check-in has three ratings on a 1-5 scale (soreness, mood, sleep quality) plus optional notes. Clients do these from their portal — takes 30 seconds. You see them on the client page.
Reading the trends
Individual check-ins aren't that useful — one day of high soreness is normal. Look at patterns:
- Soreness 4-5 for three consecutive days → they need a deload or reduced volume
- Sleep dropping below 3 for a week → life stress affecting recovery, program lighter
- Mood consistently low → burnout risk, back off intensity and check in
- Everything high and climbing → they're crushing it, you can push harder
What the AI does with this data
When you generate a routine, the AI automatically reads the client's last 10-14 days of check-ins. If you program a hard session but the client's been rating soreness at 5 for three days, the AI flags it and tempers the intensity. You're not relying on memory or manual review — the system catches it.
Acting on patterns
If a client's check-ins look concerning and you haven't spoken to them recently, this is a prompt to reach out. The AI may have already drafted a follow-up message for you in the Drafts section — that's exactly what it's watching for.
Tip
Encourage clients to do check-ins every day, even on rest days. Rest-day data is valuable — soreness on a rest day tells you more about recovery than soreness right after a workout.