A notebook of numbers is hard to compare, and a photo of it is worse. I would rather add each check-in to one form. The list sorts itself, so last month sits next to this one.
Who is it for?
Anyone who tracks change over time: gym members, runners in a training block, people coming back from a break, and trainers who run check-ins with clients.
What does it ask, and why?
Weight and sizes at the waist, hips, chest, thigh and upper arm give a fuller picture than the scale alone. Units are on every entry, so nothing gets mixed up. The measuring moment matters, since morning and evening readings differ. A body fat reading, a photo link and a short feel score are optional. A note explains odd weeks.
What would my AI ask?
"What do you weigh today?" Then "What is your waist measurement?" Then "When did you measure?" It shows all answers and sends only after a yes. Read about agent-fillable forms.
What should I do with the CSV?
Chart weight and waist against date, and read the notes. A change in feel is worth reading beside the sizes. Combine it with a workout log. A fitness assessment form sets the starting point, and a PAR-Q form checks readiness. More in forms for gyms.
Questions
How often should I measure?
Pick a rhythm you will keep, such as once a week on the same day. The date field keeps the log in order, and the CSV shows the gaps.
Can I mix kilograms and pounds?
You can, because each entry stores its own unit. For a clean chart, keep one unit and convert in your spreadsheet if you need to compare older rows.
How can a trainer collect these from clients?
Share the public link. Add a name field to your copy so rows carry a name, then download the CSV and filter by client before each review.