Consent and de-identification
Product-derived research must use data that is permitted for analysis, remove direct identifiers, and report groups rather than individual training histories.
Research and methodology
Publish the method before the benchmark.
Kova publishes evidence-based training explanations today. Product-derived strength benchmarks will appear only when the underlying data, permission, cohort size, and limitations can be disclosed clearly enough for the result to stand on its own.
Current benchmark status
Kova is not publishing proprietary user-progress averages yet. There is no claim here about how quickly Kova users add weight, gain strength, or complete programs. This page defines the gate those future reports must pass.
Standards for future Kova benchmarks
Sample and method disclosure
Every benchmark must state the cohort definition, sample size, time window, exclusions, exercise standard, and calculation method next to the result.
Limits before headlines
Observational workout logs can show patterns, not prove that Kova or a specific routine caused them. Reports must name missing context and avoid guaranteed outcomes.
Evidence briefs available now
These guides synthesize public research into practical decisions. They are evidence reviews, not analyses of private Kova workout histories.
Full Body Workouts vs Split Workouts
A research-backed comparison of training layouts when weekly volume is similar.
Read the evidence briefHow Many Days a Week Should You Lift?
A schedule-first explanation of training frequency, practice, and recovery.
Read the evidence briefHow Many Sets Per Muscle Group Per Week?
A practical interpretation of weekly volume research and its limits.
Read the evidence briefRPE vs RIR
How perceived effort scales translate into repeatable training decisions.
Read the evidence briefQuestions future reports may answer
- How often do logged rep improvements precede a successful load increase?
- How does session completion vary across three-, four-, and five-day plans?
- When do repeated missed targets tend to resolve after a lighter week?
- Which findings remain stable after experience and training frequency are separated?
Required report anatomy
- 1. A precise question and predeclared calculation.
- 2. Cohort, time window, exclusions, and sample size.
- 3. The result with uncertainty, not only an average.
- 4. Limitations and plausible alternative explanations.
- 5. A reproducible definition for every metric.