Educational content only. Not medical advice. The content creators are not doctors or medical professionals. Consult your healthcare provider before taking any action.
Protocol Tracking Template
Category: Tools Type: Template Read Time: 14 minutes Author: Peptides.NYC Editorial Last Updated: 2026-05-19 URL: https://peptides.nyc/learn/protocol-tracking-template
Disclaimer: This content is for educational purposes only and is not medical advice. Tracking produces data; interpreting that data and making medical decisions requires a qualified healthcare provider. Consult your physician before starting, modifying, or stopping any peptide protocol.
Overview
Peptide protocols are unusually hard to evaluate by feel alone. Three reasons:
- Multi-week onset. Many compounds (GH secretagogues, BPC-157, epithalon) take 2–6 weeks before subjective and objective effects stabilize. Memory is a poor instrument over that horizon.
- Subtle, overlapping effects. A mild improvement in sleep quality, recovery, or mood can be easily attributed to a good week of training, the weather, or placebo — when the actual driver is the peptide (or the opposite).
- Expensive compounds, individual variation. A 12-week protocol can run $300–$1,500+. If you can't tell what worked, you'll either repeat protocols that didn't help or abandon ones that did.
Without structured tracking, you cannot answer the only question that matters: "Is this protocol producing the result I want, and is it worth continuing?"
This guide gives you a battle-tested template structure. Recreate it in Google Sheets, Notion, Apple Notes, or paper — the tool matters less than the consistency. Track for the duration of the protocol plus 2 weeks of washout to capture rebound effects.
The Core Tracking Fields
These are the minimum fields for every dose logged. Capture them at the time of injection — not from memory.
| Field | Format | Why It Matters |
|---|---|---|
| Date | YYYY-MM-DD | Anchors all other data |
| Peptide name | Text | Stack tracking requires per-compound rows |
| Batch / lot # | Text | Sourcing quality varies; isolate vendor issues |
| Dose | mcg or mg | Effects are dose-dependent |
| Route | SC / IM / oral / nasal / topical | Bioavailability differs by route |
| Time of day | HH:MM | GH peptides especially time-sensitive |
| Injection site | L/R abdomen, quad, deltoid, etc. | Rotate sites; track localized reactions |
| Pre-injection state | Fasted / fed / post-workout | Confounds absorption and effect |
| Subjective effects | 1–10 scale (see next table) | Pattern detection over time |
| Notes | Free text | Anything unusual, side effects, missed doses |
Subjective Effect Scales (1–10)
Rate each metric at a consistent time each day — most users rate the previous 24 hours during morning coffee. The scale is personal and relative; what matters is the trend line, not the absolute number.
| Metric | What "1" Means | What "10" Means |
|---|---|---|
| Sleep quality | Fragmented, unrefreshed | Deep, restorative, no waking |
| Recovery rate | Sore for days after training | Bounced back overnight |
| Energy (AM) | Couldn't get out of bed | Awake and alert without caffeine |
| Energy (PM) | Crashed by 3pm | Steady through evening |
| Joint pain | Constant ache, limits movement | No pain, full range |
| Mood | Flat, irritable, low | Stable, positive, resilient |
| Focus | Scattered, unable to start tasks | Deep work for hours |
| Appetite | None or insatiable | Normal hunger cues |
| Libido | Absent | Strong, spontaneous |
| Skin / hair quality | Dry, dull, breakouts | Clear, hydrated, healthy |
Not every metric applies to every protocol. Pick 4–6 that map to your goal. A GH-peptide user tracks sleep, recovery, and skin. An injury-recovery user tracks joint pain and recovery. A nootropic user tracks focus and mood.
Objective Tracking Fields
Objective data anchors subjective scores. When the symptom scales drift, objective markers tell you whether it's real or perceived.
| Metric | Frequency | Notes |
|---|---|---|
| Body weight | Weekly, same day/time | AM, fasted, post-bathroom, naked |
| Body composition (DEXA) | Quarterly | Most accurate body-fat tracking |
| Waist circumference | Weekly | At navel, exhaled |
| Resting heart rate | Daily (wearable) | Trends > absolute number |
| HRV | Daily (wearable) | Recovery proxy |
| Sleep stages | Nightly (wearable) | Deep and REM minutes |
| Steps / activity | Daily (wearable) | Confound check |
| Bloodwork — baseline | Pre-protocol | Establishes your reference |
| Bloodwork — mid-protocol | 6 weeks | Catch trends early |
| Bloodwork — end-protocol | 12 weeks | Confirm response |
| Key markers | Per peptide class | See Bloodwork Sub-Template below |
The Photo Protocol
For body-composition changes — visceral fat loss, lean mass gain, skin quality — photos are more reliable than the scale. Discipline beats equipment.
- Same lighting — natural daylight or one fixed overhead light. Avoid mixed sources.
- Same poses — front, side (both), back. Arms slightly away from torso, neutral posture.
- Same time of day — AM, fasted, post-bathroom, before training.
- Same outfit — compression shorts (or underwear). No baggy fabric.
- Same background — plain wall, no clutter.
- Same camera position — mark a spot on the floor for your feet and a height for the camera (tripod or shelf).
- Weekly cadence — Sundays work well for most. Don't go daily; the noise drowns the signal.
Store photos in a private, date-stamped folder. Compare week 1 to week 4, week 8, week 12 — not week 1 to week 2.
Suggested Tools
There is no "best" tool. The best tool is the one you'll actually open every day.
| Tool | Strengths | Weaknesses |
|---|---|---|
| Google Sheets / Excel | Most flexible, easy charts, free | Manual entry, no mobile polish |
| Notion | Great for narrative notes + database views | Slow on mobile, can overengineer |
| Apple Health + AutoSleep + Whoop | Automated objective data | Doesn't track doses or subjective scales |
| Peptide-specific apps | Pre-built schemas | Limited quality, privacy concerns, sparse data export |
| Paper journal | Zero friction, no screens | No charts, no search, easy to lose |
| Hybrid (Sheets + Whoop) | Best of both worlds | Two systems to maintain |
Most users land on Google Sheets for the core log, plus a wearable for objective data they can periodically copy into the sheet. Start simple; complexity is the enemy of consistency.
The Sample Template Layout
Build a single sheet with rows = dates and columns = fields. One row per day. If you take multiple doses per day, add a "Dose 2" sub-section or use one row per dose.
Columns (left to right):
- Date
- Day of week
- Peptide(s) — one column per compound in the current stack
- Dose (mcg) — one column per compound
- Route
- Time of injection
- Injection site
- Pre-injection state
- Sleep quality (1–10)
- Recovery (1–10)
- Energy AM (1–10)
- Energy PM (1–10)
- Mood (1–10)
- Focus (1–10)
- Joint pain (1–10) — if relevant
- Body weight
- Resting HR / HRV (pasted from wearable)
- Training type (rest / lift / cardio / sport)
- Sleep hours
- Notes (free text — anything unusual)
Add a separate tab for bloodwork results (rows = test date, columns = markers) and a separate tab for weekly review notes (one row per week, free text).
Bloodwork Tracking Sub-Template
Bloodwork is your objective truth-teller. Frequency depends on the peptide class. Always run a baseline in the 2 weeks before starting a protocol.
| Panel | Baseline | 6 Weeks | 12 Weeks | Maintenance |
|---|---|---|---|---|
| CMP (kidney, liver, electrolytes) | Yes | Yes | Yes | Quarterly |
| CBC with diff | Yes | Yes | Yes | Quarterly |
| Lipid panel | Yes | Optional | Yes | Bi-annually |
| HbA1c + fasting glucose | Yes | Yes | Yes | Quarterly |
| Thyroid (TSH, free T3, free T4) | Yes | Optional | Yes | Bi-annually |
| hsCRP | Yes | Optional | Yes | Bi-annually |
Key markers by peptide class:
- GH peptides (CJC/Ipa, MK-677, Tesamorelin, Sermorelin): IGF-1, fasting glucose, HbA1c, lipid panel, cortisol (AM)
- Sex hormone peptides (Kisspeptin, Gonadorelin, PT-141): LH, FSH, total T, free T, estradiol (sensitive), SHBG, prolactin
- Immune / regenerative (Thymosin Alpha-1, TB-500, BPC-157): CBC with diff, hsCRP, ferritin, vitamin D
- Nootropic (Selank, Semax, Cerebrolysin, Dihexa): generally CMP + CBC; no peptide-specific markers
- General longevity (Epithalon, GHK-Cu): CMP, CBC, hsCRP, IGF-1, hormonal panel
Bring all results to your physician. Discuss reference ranges in context of your protocol, not in isolation.
Reviewing Your Data — Weekly + Monthly Cadence
Data you don't review is data you didn't collect.
Weekly review (Sunday, 10 minutes):
- Scan the week's symptom scores. Any sudden drops or spikes?
- Compare this week to last week. Trending in the right direction?
- Flag any side effects, missed doses, or unusual notes.
- Note one thing to adjust (timing, dose, site rotation) — or explicitly note "no changes."
- Take your weekly photo and weight.
Monthly retrospective (last Sunday of the month, 30 minutes):
- Compare week 1 to week 4 (or the latest 4-week block). What changed?
- Look at objective data (weight, HRV, sleep stages) alongside subjective scores.
- Re-read your notes column for patterns you missed in real time.
- If you're approaching a bloodwork checkpoint (week 6 or 12), schedule the draw.
- Write a 3–5 sentence summary at the top of the next month.
The goal is not to write a journal. It's to detect signal you'd otherwise miss.
Common Tracking Mistakes
| Mistake | Why It Breaks Your Data |
|---|---|
| Inconsistent timing of symptom rating | Morning vs evening scores aren't comparable |
| Not tracking food, sleep, training | Major confounders look like peptide effects |
| Missing batch / lot numbers | Can't isolate a bad batch from a bad response |
| Rating after reading prior days' scores | Anchoring bias inflates trends in either direction |
| Skipping the "boring" weeks | Plateaus are signal too |
| No baseline before starting | Nothing to compare against |
| Tracking every metric | Burnout by week 3; pick 4–6 |
| Not photographing | Memory lies about body composition |
Sample Data Patterns to Look For
After 4–8 weeks you'll start seeing real patterns. Examples of common signals (illustrative — not diagnostic):
| Pattern Observed | Possible Interpretation |
|---|---|
| Sleep quality up 2 points by week 2 of CJC/Ipa | Expected GH-peptide response; continue |
| Mood crashed week 3 of MK-677 | Possible cortisol / prolactin shift; pause and test |
| Joint pain at MGF injection site persisting > 5 days | Local reaction; rotate site or discontinue |
| Fasting glucose drifting up over 6 weeks of GH peptide | Known class effect; discuss with physician |
| Recovery score unchanged after 4 weeks of BPC-157 | Reconsider dose, route, or batch quality |
| Libido up week 4–6 on PT-141, plateaued by week 8 | Tachyphylaxis; consider cycling |
Patterns are hypotheses, not conclusions. Confirm with bloodwork and a healthcare provider before acting on them.
The Habit Stack
Tracking fails when it's a separate ritual. Embed it in habits you already have:
- AM coffee → rate yesterday's symptoms. 60 seconds while the kettle boils.
- Inject → immediately log dose. Phone in the same drawer as your supplies.
- Sunday shower → weekly photo and weight. Same time, same routine.
- Sunday dinner prep → 10-minute weekly review. Open the sheet, scan, write one note.
- End of month → 30-minute retrospective. Calendar block it like a meeting with yourself.
If a habit takes more than 2 minutes daily, it won't survive past week 3. Design for friction.
Frequently Asked Questions
Q: Notion or spreadsheet? A: Spreadsheet for the daily log (faster entry, easier charts). Notion for narrative weekly/monthly reviews if you like writing. Many users run both.
Q: Do I need a wearable? A: Helpful but not required. A wearable automates resting HR, HRV, and sleep stages — three of the most useful objective signals. Whoop, Oura, and Apple Watch + AutoSleep all work.
Q: Should I share this with my doctor? A: Yes, especially the bloodwork tab and any side-effect notes. A printed PDF of your last 4–8 weeks gives your physician far more signal than a verbal recap.
Q: Privacy concerns? A: Keep the file in a private cloud folder (encrypted at rest), use 2FA on the account, and avoid third-party peptide apps that monetize health data. Local-only options (Apple Notes, paper) are the most private.
Q: Should I track everything or just key metrics? A: Just key metrics. Pick 4–6 subjective scales tied to your protocol goal, plus the objective fields. Adding more guarantees you'll quit.
Q: Is bloodwork every 6 weeks too frequent? A: For most peptide protocols, baseline + 6 weeks + 12 weeks is appropriate. More frequent draws are reasonable when starting GH peptides (glucose drift) or sex-hormone interventions. Discuss frequency with your physician.
Q: How long should I track after stopping a protocol? A: At least 2 weeks of washout. Rebound effects — sleep changes, mood shifts, weight regain — often appear in the first 14 days off.
Q: What if I miss a day? A: Note it ("missed entry") and move on. Don't backfill from memory; that pollutes the dataset. One missed day is noise; a missed week is a habit problem worth addressing.
Related Content
- Bloodwork Checklist
- Dosing Calculator Guide
- Equipment Checklist
- First Injection Guide
- Doctor Conversation Script
Disclaimer: This content is for educational purposes only and is not medical advice. The tracking template described here is a personal data-collection tool, not a diagnostic instrument. Always consult a qualified healthcare provider for interpretation of bloodwork, decisions about starting or stopping protocols, and management of any side effects.
Source: https://peptides.nyc/learn/protocol-tracking-template
This content is produced by the Peptides.NYC editorial team from published research. It has not been reviewed by a licensed clinician and is educational only — always consult your healthcare provider before starting, stopping, or adjusting any peptide protocol.
Written By
Editorial team. We cite published research; we are not licensed clinicians and content is not medically reviewed.
This article cites peer-reviewed research and medical literature. Click any reference to view the original source.
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Miller TA (2016) Health literacy and adherence to medical treatment in chronic and acute illness: A meta-analysis Patient Education and Counseling.
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Dunn CG, Turner-McGrievy GM, Wilcox S, et al. (2019) Dietary Self-Monitoring Through Calorie Tracking but Not Through a Digital Photography App Is Associated with Significant Weight Loss: The 2SMART Pilot Study-A 6-Month Randomized Trial Journal of the Academy of Nutrition and Dietetics.
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The information on this website is for educational purposes only and is not medical advice. The content creators are not doctors or medical professionals. This content should not be used to diagnose, treat, cure, or prevent any disease. Always consult with a qualified healthcare provider before starting any new supplement, medication, or health protocol. You assume all risks associated with using this information.