INSIGHTS
Sports tech insights
Clear, structured explanations on how teams and athletes use data, sensors, and modern systems to improve performance—without overcomplicating it.
Data & Metrics
Training Systems
Decision Frameworks
Practical Workflows
DATA
Metrics that matter
How to pick a small set of metrics that actually improves outcomes.
- Prioritize consistency over “perfect” numbers
- Track trends weekly, not hourly
- Use 3–5 metrics per goal
TRAINING
Modern training systems
Sensors, planning tools, and feedback loops that scale coaching.
- Load management basics
- Technique feedback tools
- Building habits with simple plans
DECISIONS
From data to action
A lightweight framework that prevents analysis paralysis.
- Ask: what decision is this supporting?
- Set thresholds and rules early
- Review + adjust on a schedule
Quick frameworks
Use these to keep analysis simple and useful.
1) Track → Interpret → Adjust
- Track: capture a few metrics consistently
- Interpret: compare against baseline and trends
- Adjust: change one variable at a time
2) Baseline first
- Collect 2–4 weeks of data
- Define a “normal range”
- React to changes, not single readings
3) The 80/20 dashboard
- One screen for what matters today
- One screen for weekly trends
- Hide everything else unless needed
4) Reduce noise
- Same time/day measurement routine
- Note context (sleep, stress, travel)
- Use averages, not extremes