About Walk Analytics

Science-based walking performance tracking, built by walkers for walkers

Our Mission

Walk Analytics brings professional-grade performance tracking to every walker. We believe that advanced metrics like Walking Zones, Gait Analysis, and Health Metrics shouldn't be locked behind expensive platforms or require complex coaching software.

Meet the Developer

Albert Arnó

Creator

Albert Arnó created Walk Analytics out of a personal need for better walking tracking tools. As someone who enjoys walking and has programming knowledge, he wanted an affordable, science-based analytics tool that wasn't tied to specific hardware or cloud platforms.

Why Walk Analytics Was Created:

"I was frustrated by expensive subscriptions, vendor lock-in requiring specific devices, and lack of control over my own data. I wanted a tool that calculated walking zones and gait metrics correctly, worked with any Apple Health-compatible device, and kept my data private. When I couldn't find it, I built it."

"Walk Analytics combines sports science with modern iOS design and complete data privacy."

Our Principles

Science First: All metrics based on peer-reviewed research. We cite our sources and show our formulas.
Privacy by Design: 100% local data processing. No servers, no accounts, no tracking. You own your data.
Platform Agnostic: Works with any Apple Health compatible device. No vendor lock-in.
Transparency: Open formulas, clear calculations, honest limitations. No black box algorithms.
Accessibility: Advanced metrics shouldn't require a degree in sports science. We explain concepts clearly.

Scientific Foundation

Walk Analytics is built on decades of peer-reviewed sports science research:

Walking Zones

Based on heart rate and pace research for walking. Walking zones help optimize training intensity for health, fitness, and performance goals.

Key Research: Heart rate zone training adapted for walking biomechanics and energy systems.

Gait Analysis

Stride length, cadence, and walking efficiency metrics. Used by physical therapists and coaches to track movement quality and prevent injury.

Standard Metrics: Stride Rate, Distance Per Stride, and Walking Efficiency. Lower efficiency scores indicate better performance.

Health Metrics

VO2max estimation, calorie expenditure, and cardiovascular health indicators. Tracks overall fitness improvements over time.

Implementation: Apple Health integration for comprehensive health tracking and trend analysis.

Walking Efficiency

Efficiency metrics combining time and stride count. Used to track technical improvements and optimize walking form.

Standard Metrics: Walking Efficiency = Time + Strides. Lower scores indicate better efficiency.

Development & Updates

Walk Analytics is actively developed with regular updates based on user feedback and the latest sports science research. The app is built with:

Swift & SwiftUI - Modern iOS native development
HealthKit Integration - Seamless Apple Health sync
Core Data - Efficient local data storage
Swift Charts - Beautiful, interactive data visualizations
No Third-Party Analytics - Your usage data stays private

Editorial Standards

All metrics and formulas on Walk Analytics and this website are based on peer-reviewed sports science research.

Last Content Review: November 2025

Recognition & Press

Trusted by walkers worldwide - Used by health enthusiasts, seniors, hikers, and fitness coaches.

High App Store Rating - Consistently rated as one of the best walking analytics apps.

100% Privacy-Focused - No data collection, no external servers, no user tracking.

Get in Touch

Have questions, feedback, or suggestions? We'd love to hear from you.