TRACKING YOUR PROTOCOL: WHAT TO LOG
Most people run peptide protocols without logging anything meaningful and then cannot tell whether they worked, whether side effects were real or imagined, or what dose produced the best outcome. A minimal but consistent tracking system changes all of that.
1.Baseline measurements before you start
The baseline is the single most valuable data point in your entire protocol. Without it, you have nothing to compare your mid-cycle and end-cycle measurements against. Take the time to establish a complete baseline before your first injection.
Minimum baseline: body weight (same time of day, same conditions — upon waking after using the bathroom, before eating), waist circumference at the navel, and a front and side photograph in consistent lighting and angle. These three measurements cost nothing and take 5 minutes. The photograph is the most honest record — you cannot accurately remember how you looked 12 weeks ago.
For GH peptide cycles, add: fasting blood glucose (a basic glucometer is sufficient), and ideally an IGF-1 blood test through a direct lab service. Knowing your baseline IGF-1 tells you whether your GH axis is already robust or has room to improve, and gives you a reference point to verify the protocol is producing the expected IGF-1 increase.
For GLP-1 agonist cycles, add: HbA1c (3-month glucose average) and a fasting lipid panel. Both are expected to improve with weight loss — having baseline values lets you quantify that improvement. Also measure upper arm circumference to track muscle retention alongside fat loss.
Optional but useful additions for comprehensive tracking: hip and thigh measurements, grip strength (a simple dynamometer is inexpensive), resting heart rate (wearable or manual), and a sleep quality log (1-10 scale). The more baseline data you have, the more questions you can answer at the end of the cycle.
2.Daily and weekly logging: what actually matters
The minimum viable daily log takes under 2 minutes: date, compound(s) injected, dose (in mcg or mg), injection site, and one brief note on anything notable — sleep quality, unusual side effects, energy level, pain level for injury protocols. This log, maintained consistently over 12 weeks, produces a rich dataset you can actually analyze.
Weekly additions: body weight (take it every morning, record the weekly average to smooth out day-to-day fluctuations), any new or changing side effects, and a brief protocol adherence note (did you miss any injections this week, and why). Weight fluctuates 2-5 lbs day to day from water, salt, and bowel contents — the 7-day average is far more informative than any single daily reading.
Monthly additions: measurements (waist, hips, upper arm, thigh), photographs in the same conditions as baseline, and any bloodwork if you are doing mid-cycle testing. Monthly is often when the most meaningful cumulative changes become visible in photographs and measurements, even when day-to-day progress feels imperceptible.
For injury protocols specifically: rate pain on a consistent scale (0-10) at the same time and condition each day (e.g., pain during a specific movement like an overhead press or stair climbing). This converts subjective pain into a trackable metric. Pain scale data over 12 weeks tells you clearly whether BPC-157 is producing measurable improvement.
Do not rely on memory for any of this. Humans are extremely poor at accurately recalling how they felt, looked, or performed 8 weeks ago. Your memory will reconstruct a narrative that aligns with your current beliefs about whether the protocol worked. Logged data cannot be retroactively revised.
3.Reading the data: patterns vs. noise
Individual data points are almost always noise. One good night of sleep means nothing. One bad week of workouts means nothing. A spike in body weight from a salty restaurant meal means nothing. The signal lives in trends over time — rolling averages, 4-week blocks of data, comparison photos taken 4-6 weeks apart.
Look for these pattern signals: (1) Sleep quality trend — has the average improved, declined, or stayed flat over the 12-week protocol? (2) Body weight trend — is the 7-day rolling average moving in the right direction, even if slowly? (3) Pain scale trend for injury protocols — is the weekly average pain score declining over time?
Plateaus are information, not failures. A 3-week weight plateau on a GLP-1 protocol tells you the current dose may be near its ceiling effect for you and that a dose adjustment or dietary review is warranted. A 3-week plateau in IGF-1 improvement on a GH peptide protocol suggests receptor adaptation and a potential dose adjustment or protocol review.
The comparison between pre-cycle and post-cycle data is the most important analysis you can do. Compare week-1 photographs against week-12 photographs. Compare pre-cycle bloodwork against post-cycle bloodwork. Compare pre-cycle pain scale average against the final 2-week pain average. These before-and-after comparisons answer the fundamental question: did this protocol accomplish what I set out to accomplish?
Share your tracking data with your healthcare provider if you are working with one. Objective logged data is far more useful to a physician than 'I think I felt better.' It also protects you: if something unexpected happens medically, your log documents what you were taking, at what doses, and when — information that can significantly impact medical decision-making.
4.When and how to adjust your protocol
Adjust dose when: (1) side effects are meaningfully impacting quality of life after the first 2-4 weeks of adjustment period. (2) 8 weeks of log data show no measurable change in any tracked metric, suggesting either the dose is insufficient or the product quality is poor. (3) Bloodwork shows IGF-1 above 400 ng/mL on a GH peptide cycle — reduce dose to keep IGF-1 in the upper-normal range for your age.
Do not adjust based on a single bad day or bad week. Peptide protocols operate on weekly-to-monthly timescales. Making changes after two bad days creates noise that makes it harder to understand what is actually working.
If you add a second compound mid-cycle, log the specific start date. Any changes in outcome that coincide with the addition of the second compound — positive or negative — can be attributed to it with much higher confidence when the dates are logged rather than estimated.
Protocol changes to document specifically: any dose changes (note the old dose and the new dose), any addition of new compounds, any breaks from the protocol, and any significant life changes (stress, illness, travel, major dietary changes) that could affect outcomes independently of the protocol.
At the end of each cycle, write a brief summary: what you ran, at what doses, for how long, what changed from baseline, and what you would do differently next time. This summary becomes the context for your next cycle and compounds in value the more cycles you complete.
Sources & Studies
Frystyk J., Growth Horm IGF Res, 2010
Lab monitoring in longevity medicine: a practical framework
Attia P. et al., Nat Aging, 2023