For coaches
A coaching platform for serious work.
Stratum gives you Adaptive Load methodology, per-athlete calibration, and programming intelligence that scales with your roster. Built for coaches who think in MEV/MAV/MRV and treat every athlete as an n=1 case study — whether they’re training for powerlifting meets, sport seasons, or hypertrophy blocks.
Book a demoThe technical case
The architecture.
Adaptive Load methodology
Traditional volume metrics treat all loaded movement the same. Tonnage, INOL, and even RPE-based volume calculations don’t distinguish between axial loading and machine work, between competition squat and leg press, between top sets and back-down work.
Adaptive Load is calculated per-set as base × positional multiplier × axial multiplier × stance multiplier. The result is a fatigue measurement that actually reflects systemic demand. A 5×5 at RPE 8 on comp squat produces a fundamentally different AL than the same prescription on hack squat — and Stratum tracks it accordingly. AL rolls up to daily and weekly totals, gets compared against the athlete’s own historical thresholds, and informs programming decisions across the block.
ADAPTIVE LOAD — WEEKLY
Jordan M. · last 8 weeks
Per-athlete calibration
The V2 calibration engine compares predicted readiness from athlete check-ins against measured performance from logged sessions. Over a calibration window, the system learns each athlete’s subjective recovery accuracy — whether they tend to over-report fatigue, under-report it, or report it accurately.
That accuracy score becomes a calibration parameter. An athlete who’s consistently pessimistic about recovery gets programming that weights performance metrics more heavily. An athlete who’s consistently optimistic gets programming with more conservative deload triggers. The system gets sharper for each athlete over time, regardless of sport focus.
SUBJECTIVE RECOVERY ACCURACY
Readiness reported vs performance achieved
Volume landmark tracking
Stratum tracks volume per muscle, not just per lift. MEV/MAV/MRV thresholds are sport-specific (powerlifting, S&C, hypertrophy use different defaults) and adjustable per-athlete. The system flags athletes approaching MRV before they overreach, surfaces under-MEV muscles that need volume increases, and recommends deload timing based on accumulated fatigue per body part.
Hypertrophy work gets higher volume landmarks tuned for muscle growth. Powerlifting gets landmarks tuned for SBD-adjacent recovery. Programming decisions stay informed by what the athlete is actually accumulating, per pattern and per muscle.
VOLUME LANDMARKS — WEEKLY
Sets per muscle vs MEV / MAV / MRV
Coach workflow
How it works in practice.
01
Build the block
The program editor handles 8/4/2/1 periodization for powerlifting, season-based periodization for sport athletes, and hypertrophy-focused block structures. Weekly templates, top-set / backoff load logic, conditioning programming, and automatic volume distribution per muscle. Building in spreadsheets becomes building in a tool that already understands how each modality should be structured.
02
Athletes log sessions
Athletes log loads, reps, RPE per set for strength work; duration, distance, heart rate for conditioning. The system calculates Adaptive Load in real time, updates e1RM estimates, tracks volume against landmarks, and updates readiness predictions for the next session. Athletes can correct a logging error within 48 hours of the session — so the data coaches review is accurate, not frozen at first entry.
03
Review what matters
The coach inbox surfaces what needs your attention: athletes flagged for overreaching, sessions that scored differently than predicted, volume warnings, calibration accuracy drift, athletes approaching meet day or block end. Per-session feedback you leave reaches athletes inline on their next training day. A dedicated Biofeedback view surfaces check-in trends, overreaching risk, and daily readiness data per athlete — separate from performance analytics so you can act on each signal independently. Send a check-in reminder in one tap when an athlete hasn't logged. Block summary intelligence — completion stats, fatigue distribution, accuracy trends — surfaces when a block ends so the next-block decision is informed.
You spend time on programming decisions, not chasing down spreadsheet rows.
Scheduling
Every client interaction in one place.
A built-in appointments calendar handles every touchpoint: consults, check-in calls, in-person sessions, and competition calls. Google Calendar syncs automatically. Google Meet links are generated for every remote appointment — no third-party scheduling tool required.
After a consult, send a payment link in one tap. Once the client pays, their account is created and the invite goes out automatically — onboarding runs without you in the loop.
APPOINTMENTS — UPCOMING
Google Calendar sync · Meet links auto-generated
What’s different
Where Stratum diverges from existing tools.
Book a demo
Want to see it on real athletes?
Book 30 minutes with Matt. He’ll walk through Coalition STL’s setup, show how the calibration engine handles real athlete data across powerlifting and S&C programming, and answer questions specific to your roster size and sport focus.
Book a demo