Peptide tracking sits on a continuum from "nothing" to "spreadsheet of 30 daily metrics." Most users start at the extremes and settle in the middle. The middle — seven categories logged consistently — produces enough information for dose decisions, side-effect management, and long-term review without the burden of obsessive logging.
The single most important data point. For weekly drugs: dose, day of week, time of day. For daily drugs: dose, date, time. Time precision matters less than consistency — same time each cycle is good.
Why: knowing your exact dose and the cumulative number of injections at each step is the foundation. A patient who can't answer "what dose are you on, and when was the last injection?" can't safely make any decision about the protocol.
Zone, not exact spot. For weekly users on the 8-zone abdomen rotation, log "upper-right outer" or "Zone 1." For users rotating across body regions, log the region first.
Why: lipohypertrophy prevention requires rotation discipline. Log the site, get a rotation history, and the choice of next site becomes automatic.
A simple 1–10 scale for nausea per day. Optionally include vomiting (binary), diarrhea (frequency), constipation (binary), reflux (1–10). Log daily, or at minimum on the symptomatic days.
Why: the 4-week nausea curve only becomes visible in logged data. Without a log, "this week is worse than last" becomes a vague memory; with a log, it's a chart.
Once per week, same day, same time, fasted morning. Weekly is the right cadence for GLP-1 weight loss — daily is noise, monthly is too sparse.
Why: the 4-week moving average smooths out daily fluctuations and reveals the real trend. Both plateaus and accelerations become clear.
For diabetic patients or those on insulin/sulfonylureas, daily fingerstick or CGM data is essential. For non-diabetics on GLP-1 for weight loss, glucose tracking is optional.
Why: GLP-1 + insulin or SU combinations carry real hypoglycemia risk. Without glucose data, dose adjustment is guesswork.
A 1–5 score for fullness or appetite, ideally at each meal. Optional but very useful in the first 8 weeks of GLP-1 use.
Why: catches the very-early signs of dose tolerance (appetite returning) and helps distinguish "today's headache is not appetite-related" from "the drug isn't working anymore."
At minimum: resistance training sessions per week (count) and walking minutes per day. More granular activity tracking is fine but not necessary.
Why: muscle preservation on GLP-1 depends on training + protein. Without a log, "I worked out a lot this week" is unverifiable. With a log, the chart shows actual consistency.
Most users log densely for the first 8–12 weeks of a new protocol, then taper to weekly weight + monthly check-ins once steady state is reached. The dense early logging captures the titration period when decisions are most active.
Health data is sensitive. A tracking app should:
If your tracking app is asking for excessive permissions or trying to monetize the data, that's a signal to find a different one.
Paper works for dose + time + site. For trend visualization (weight, symptoms over 4 weeks), an app makes the patterns visible in ways paper doesn't. Both can be valid; the worst tool is the one you don't use.
Yes, especially at titration decisions. A logged record beats verbal recall every time and lets the prescriber give precise guidance.
Don't backfill from memory. Mark it as missing and continue. A few gaps in 12 weeks doesn't ruin the picture. Fabricated data is worse than missing data.
Yes. Self-monitoring of weight and food intake has been shown to support weight loss across multiple studies, independent of any drug. Logging makes you more aware of the patterns, which often shifts behavior in helpful directions.
Peptide Protocol structures the categories so logging takes 30 seconds a day and produces decision-grade data over weeks.
Get the iPhone app →Informational and educational only. Not medical advice. Consult a licensed clinician before starting, changing, or stopping any peptide protocol. Mentions of investigational, compounded, or research-use peptides are for informational purposes; many such substances are not FDA-approved for human use.