What data does Training use?
Training uses derived snapshots built from activities already imported or uploaded to your Quantified Self account. The browser does not reparse source files or query raw activity history to calculate the workspace.
Training Analysis
Training analysis for endurance athletes
Training is a curated workspace for understanding your current workload in context. Start with one All training overview, then switch to a focused sport destination for its historical build, performance, power, and durability evidence without losing any global totals.
Training readinessEight sport familiesGravity MTBContext summariesDurabilityBest build
Current Context
See the training pattern, not just the latest workout
Training turns already imported or uploaded activity data into a readable current-versus-usual picture. It is context for your decisions, not a workout prescription or medical score.
Compare current sessions and training time with a normalized preceding 84-day reference, with unavailable data kept explicit instead of shown as zero.
Review current load alongside recorded sleep, HRV, and overnight heart-rate evidence when those signals are available from connected providers.
See parent-event load, top contributors, sport-specific load changes, and training rhythm without hiding other eligible sports from the overall explanation.
Discipline Evidence
Keep sport-specific evidence in the right context
Use account-saved sport shortcuts or the complete selector to open one of eight conservative sport families. Every sport stays available, and materially different contexts—including registered legs from multisport activities—remain separate.
Inspect imported Running and Cycling FTP/VO₂ max provenance, power-profile retention, and exact-type CP, W′, and Pmax capacity from the preceding 42 completed UTC days where stored power curves support it.
Review twelve weeks of pool and open-water pace separately, with comparable SWOLF context when active swim lengths provide it.
Switch to one sport for its detailed current-versus-usual summary while All training keeps the compact cross-sport mix. Indoor and on-water rowing, snow and roller skiing, walking and hiking, paddling types, and gravity MTB contexts remain separate. Downhill and Enduro use recorded volume, descent, jump count, and longest-jump evidence without invented run segmentation.
Historical Evidence
Compare a build deliberately, then keep limitations visible
The workspace favors comparable evidence over oversized charts or invented estimates, so a historical reference and long-session trend remain understandable.
Choose one 8-, 10-, or 12-week historical benchmark per sport and compare workload, intensity, available sleep context, and matching durability evidence.
Track eligible steady aerobic sessions with matching output and heart-rate evidence. Weeks without comparable sessions explain why they are unavailable.
Missing TSS, zones, power, heart rate, pace, sleep, and durability evidence stays unavailable rather than becoming a misleading zero or generic score.
FAQ
Training Analysis FAQ
Which sports does Training support?
Training supports eight conservative families: Running; Cycling including road, indoor, virtual, e-bike, standard MTB, Enduro, and Downhill; Pool and Open Water Swimming; indoor and on-water Rowing; Walking and Hiking; Nordic and Roller Skiing; Strength; and Paddling. Multisport files are split into their registered activity legs when available. Nearby unlisted sports remain Other rather than being guessed into a family.
Does Training tell me what workout to do?
No. Training presents load, readiness, sleep, and performance evidence as context. It does not prescribe workouts, diagnose health conditions, or turn missing data into a recommendation.
How is Training different from the Dashboard?
Dashboard remains the configurable place for charts, maps, and tiles. Training is a fixed, curated analytical workspace with one global overview and focused sport destinations. Account-saved shortcuts speed up navigation but never hide a sport or change the calculations.
Next Step
Start with the work you already recorded
Connect the services you use or upload activity files, then open Training to see your current workload in context without changing your Dashboard layout.