Frequently Asked Questions (FAQ)

General Questions

What is Bike Analytics?

Bike Analytics is an advanced mobile application for cyclists who want to analyze their power, heart rate, and GPS data in a professional way. It focuses on complete data privacy (device-only storage) and provides world-class metrics such as TSS, Critical Power, and CdA.

Which platforms is the app available on?

Bike Analytics is currently available for iOS (iPhone and iPad). We plan to release versions for Android and macOS in the future.

How much does the app cost?

We offer a 7-day free trial. After that, you can choose between a monthly subscription for $8 or an annual one for $70. Unlike other platforms, we do not sell your data, so we are sustained by direct support from our users.

Privacy and Data

Where is my data stored?

Your data is stored exclusively on your iPhone or iPad. The app does not upload your workouts, GPS coordinates, or personal information to any external servers. You own your data 100%.

Do you sell my data to third parties?

Never. Bike Analytics is built on a model of maximum privacy. Since we do not hold your data on our servers, we physically cannot sell it. Your analysis is for your eyes only.

Can I export my data?

Yes. You can export your analyses and summaries in formats such as PDF, CSV, JSON, and HTML at any time for archiving or sharing with your coach.

Technical Questions and Metrics

Do I need a power meter to use the app?

While the app works best with a power meter, you can also use it with only a heart rate sensor. In that case, Bike Analytics will estimate your training load using hrTSS (Heart Rate-based Training Stress Score).

How do I import my workouts?

Bike Analytics supports automatic import from Apple Health and Strava. You can also manually upload files in .FIT, .TCX, and .GPX formats via the Files app on your iPhone.

What is TSS and why do I need it?

Training Stress Score (TSS) measures the load from each workout. It helps you balance training and recovery to avoid overtraining and achieve peak form exactly when you need it.

How does Bike Analytics distinguish road cycling from mountain biking (MTB)?

The app automatically recognizes the type of terrain based on the power and speed profile. We use different power smoothing algorithms to provide accurate analysis for both the steady efforts of road cycling and the explosive demands of MTB.

Support and Help

What should I do if the app crashes?

Please make sure you are using the latest version from the App Store. If the problem persists, you can contact us directly at [email protected] with a description of the issue.

Can I suggest a new feature?

Of course! Most of our features have been suggested by real users. Send us an email with your ideas.

Before You Download

I already know my FTP — why do I need anything more?

FTP tells you your threshold, but it doesn't explain why two riders with the same number race so differently, or why repeated attacks crack you faster than a steady effort. Critical Power and W' (W-prime) add what FTP leaves out: your real sustainable ceiling and your finite capacity to work above it — turning a single number into a model you can actually pace and race with.

Do I need to sync with Strava or TrainingPeaks to use it?

No. Bike Analytics works directly with the data your power meter, head unit, or watch already records via Apple Health — no closed ecosystem or third-party account required. Strava import is supported as a convenience, not a dependency.

This sounds too technical — is it really for me?

The science is rigorous, but the app translates it into practical pacing and race decisions, not another spreadsheet to decode. If you can read a power number on your head unit, you can read what Bike Analytics tells you to do with it.

Will this replace my Garmin or Wahoo head unit?

No — it adds the interpretation layer your head unit doesn't do on its own. Bike Analytics turns the raw power and speed data your device already records into Critical Power, W', training zones, and pacing guidance, so you understand the "why" behind the numbers it shows you mid-ride.

Evidence and editorial method

AnalyticsZone explains published sports-science models, shows formulas and assumptions, and links primary or authoritative sources so readers can verify the method.

Author: Albert Arnó, MD, PhD — founder of onmedic (Barcelona), building eHealth systems since 2000.

Faq | Bike Analytics - Cycling Analytics App | FTP, TSS,

Faq for cyclists with Bike Analytics - Cycling Analytics App | FTP, TSS, Power Metrics for iOS. Faq | Bike Analytics - Cycling Analytics App | FTP, TSS, Power.

  • 2026-03-18
  • bike analytics · cycling · training
  • Bibliography