Overview

Modern GPS watches and apps collect mountains of data — pace, heart rate, cadence, elevation, training load, recovery status, and more. The trick isn't collecting data. It's knowing which data matters and what to do with it.

Golden Rule: Data is a tool, not a coach. Use it to inform decisions, not dictate every run.

The Key Metrics That Matter

Tier 1: Track These Always

Metric	What It Tells You	Why It Matters
Weekly mileage	Total training volume	The single best predictor of running performance
Pace	How fast you're running	Tracks fitness over time
Heart rate	How hard your body is working	Reveals true effort — pace doesn't tell the whole story
How you feel	Subjective effort and mood	The most underrated metric — your body knows things data doesn't

Tier 2: Useful for Deeper Analysis

Metric	What It Tells You	Why It Matters
Cadence	Steps per minute	Higher cadence generally means more efficient running
Elevation gain	Total climbing	Explains why a run felt hard despite "easy" pace
Training load	Cumulative stress on your body	Helps prevent overtraining
Resting heart rate	Your baseline HR each morning	A rising resting HR can signal fatigue, illness, or overtraining

Tier 3: Nice to Know

Metric	What It Tells You	Notes
Ground contact time	How long your foot is on the ground	Lower is generally better, but don't obsess
Vertical oscillation	How much you bounce	Less bouncing = more efficient
Running power	Watts output while running	Emerging metric — useful for hilly terrain pacing
VO2max estimate	Estimated aerobic capacity	Useful trend, but watch estimates vary in accuracy

Using Your GPS Watch Effectively

Essential Watch Features for Runners

Feature	How to Use It
Pace alerts	Set upper/lower pace alerts to stay in your target zone
Heart rate zones	Configure zones based on your max HR or threshold HR
Auto lap	Set to 1 km for automatic split tracking
Interval timer	Programme interval sessions so you don't have to think during speed work
Course navigation	Load race or trail routes for turn-by-turn guidance

Setting Up Your Watch Data Screens

Screen	Fields	When to Use
Easy runs	Time, Heart Rate, Distance	Don't look at pace on easy days — run by feel/HR
Speed work	Lap Pace, Lap Time, Heart Rate	Focus on interval splits
Tempo runs	Current Pace, Heart Rate, Distance	Hold your target pace
Long runs	Time, Distance, Heart Rate, Average Pace	Monitor effort over the full distance
Race day	Lap Pace, Total Time, Distance	Know your splits vs target

Analysing Your Training

Weekly Review

Every Sunday, look at these numbers:

Check	What to Look For
Total mileage	Is it within 10% of your target? Not too high, not too low?
Easy run pace vs HR	Are your easy runs actually easy? (Zone 2 HR)
Quality session performance	Did you hit your target paces for intervals/tempo?
Resting heart rate trend	Creeping up? You might need more rest
How you felt	Energised or exhausted? Motivated or flat?

Monthly Review

Check	What to Look For
Mileage trend	Gradual increase (no more than 10% per week on average)
Pace at same heart rate	Getting faster at the same HR? Your fitness is improving
Quality session progression	Are interval paces getting faster or recovery times shorter?
Injury niggles	Any recurring pain? Address it before it becomes a real problem

The Most Useful Analysis: Pace vs Heart Rate

This is the single most powerful way to track fitness improvement.

Month	Easy Run Pace	Average Heart Rate	What It Means
January	5:45/km	152 bpm	Baseline
February	5:40/km	150 bpm	Slight improvement
March	5:35/km	148 bpm	Getting fitter — faster at lower HR
April	5:30/km	145 bpm	Significant aerobic improvement

If you're running faster at the same or lower heart rate, you're getting fitter. That's all you need to know.

Popular Running Apps

App	Best For	Free?
Strava	Social features, segment tracking, route planning	Free (premium optional)
Garmin Connect	Deep data analysis if you have a Garmin watch	Free with device
TrainingPeaks	Structured training plans, coach integration	Free (premium optional)
Runalyze	Free deep-dive analytics, marathon prediction	Free
Smashrun	Visualisation and trends over time	Free (premium optional)

Common Data Mistakes

Mistake	Problem	Fix
Chasing pace on every run	Turns every run into a race — leads to overtraining	Only track pace on quality sessions
Comparing to others on Strava	Everyone's different — it's demoralising and meaningless	Compare yourself to your past self only
Ignoring how you feel	Data says you should feel fine but you feel terrible	Trust your body over your watch
Over-analysing every metric	Analysis paralysis — you spend more time looking at data than running	Focus on the Tier 1 metrics, ignore the rest
Not tracking at all	Can't spot trends or problems	Log the basics consistently

What's Next?

Data-driven and ready to perform:

Plan your year with Periodisation & Annual Training Plan
Peak for race day with Tapering & Peak Performance
Go beyond the marathon with the Ultra Marathon Introduction

Running with Data🔒

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