A Fitness Coaching Data Standard: Why Coaches Need One

You decide to leave your coaching platform. Two years of clients, hundreds of check-ins, dozens of workout templates, a meal plan library, notes on every relationship you’ve built. You click the “Export” button, half-expecting magic. Out comes a PDF of one workout, a CSV with three columns, and a polite suggestion to “contact support” for the rest. That is the moment most fitness coaches and personal trainers realize their data was never really theirs.

A fitness coaching data standard is a shared, product-neutral format that describes coaching data — clients, check-ins, workout plans, meal plans, forms, goals — in a way every coaching platform can read and write. Think of it as the universal shape of a moving box: it doesn’t matter what’s inside, the box stacks, ships, and unloads the same way. I just published V1 of an open Fitness Coaching Data Standard for exactly this reason, and this post explains why coaches need one — even coaches who never want to look at a single line of code.

Here’s what’s covered below:

1. Why “We Support Data Export” Usually Means Very Little
2. What a Data Standard Is, in Plain Words
3. What’s Inside V1 of the Fitness Coaching Data Standard
4. Five Things a Data Standard Actually Changes for Fitness Coaches
5. Why No Other Coaching Platform Has Shipped This Yet
6. How Assistant Coach Already Ships in This Format
7. How to Use the Standard Today

Why “We Support Data Export” Usually Means Very Little

In a recent 10-platform data export audit I went through TrueCoach, Trainerize, Everfit, FitBudd, MyPTHub, PT Distinction, Hevy Coach, CoachRx, Carbon, and 1FIT. The takeaway was bleak. Trainerize exports first name, last name, email, and phone — and nothing else. TrueCoach gives you a 15-field CSV plus individual workouts as text files. Most of the others have no documented export at all.

But the bigger issue is not that exports are missing pieces. It’s that the pieces that do exist are in completely different shapes. One platform’s “check-in” is another platform’s “form submission” is another platform’s “weekly update.” One stores macros as three numbers, another as a paragraph in a notes field, another inside a PDF. There is no shared language. Even when a platform technically lets you export something, the next platform has no idea what it just received.

This is why “exporting” your coaching data today often feels like packing a moving truck with no boxes: items pile in loose, nothing is labeled, half of it spills, and the new place can’t put anything away.

A standard fixes that, not by adding more export features, but by agreeing on what each item is called and how it should be shaped.

What a Data Standard Is, in Plain Words

If the word “standard” sounds technical, here are three everyday examples that already work this way.

Bank statements. Every bank in the UK can send transactions in a shared format. When you switch from Barclays to Monzo, your direct debits move with you. You don’t have to explain to Monzo what “Tesco Direct Debit” means — both banks agree on the shape of a transaction. Coaching software does not have this yet. Your client’s check-in history is locked inside whatever shape your current platform decided to use.

Calendar files. When a colleague sends you a meeting invite from Outlook and it lands cleanly in your Google Calendar, that works because both apps speak .ics, a shared calendar format. Different products, same file, same meaning. Coaching data has no .ics. A check-in from Trainerize cannot be read by TrueCoach because there is no agreed-upon “what a check-in looks like.”

Plug sockets. Every kettle you’ve ever owned plugs into every wall socket in your home because we agreed on the shape of a UK plug. Imagine if every appliance had its own connector. That is what every coaching platform’s data looks like today.

A data standard is just one of those agreements, written down, public, and stable. It says: this is a client. This is a check-in. This is a workout session. This is what a macro target looks like. Two platforms that both follow the standard can hand data between each other without losing meaning.

That’s all it is. No magic. No AI. Just a shared, written-down shape.

What’s Inside V1 of the Fitness Coaching Data Standard

V1 deliberately starts small. The goal was not to model every quirk of every platform — it was to capture the records a fitness coach actually needs when moving their business cleanly from one place to another.

Here’s what V1 covers:

Domain	What it captures
Coach profile + settings	Your business name, timezone, units (kg/lb), brand details, contact info
Clients	Every client profile: contact details, goals, injuries, dietary notes, medications
Client assignments	Who is on which form, meal plan, and workout plan, with start/end dates
Forms + submissions	Your intake forms and check-in forms, including every answer every client has submitted
Check-ins	A first-class check-in record linked to the relevant submission
Macro-only meal plans	Daily targets for calories, protein, carbs, fat — assigned per client
Workout plans + sessions	Plans, sessions, prescribed exercises, sets, reps, rest, notes

V1 intentionally leaves things out. No payment data. No screenshots. No video files. No third-party app credentials. No platform-internal IDs. Those things either need careful design (media files), have legal weight (payment data), or are simply not portable between platforms (one platform’s internal ID is meaningless inside another). Keeping V1 tight made it possible to publish something solid this month rather than spend another year arguing about edge cases.

The standard ships with a realistic example package — five different coaching clients with different goals, schedules, and training styles — so any platform or tool that wants to support the standard has a concrete file to test against. The design principles document explains how the standard is meant to evolve over time without breaking existing exports.

Five Things a Data Standard Actually Changes for Fitness Coaches

This is the part that matters for the working coach. A standard isn’t useful in the abstract — it’s useful because of what it lets you do that you currently can’t.

1. You can leave a platform without losing your coaching history. If two platforms both speak the standard, your full back catalogue — every client, every check-in, every workout plan, every meal plan, every form submission — moves with you. You don’t rebuild your business in a new tool over six painful weeks. You import a file.

2. Your backup actually becomes a backup. A “backup” that is really a PDF folder isn’t a backup. It’s a memorial. A standard-format export is a real backup: any tool that speaks the standard can read it back. Your business survives a platform going offline, a price hike, an acquisition, or a quietly removed feature. (For the broader story on what these platforms cost you when they vanish, see the real cost of fitness coaching software and the hidden fees post.)

3. AI tools can read your real coaching data. I wrote separately about connecting ChatGPT and Claude directly to coaching data. The reason that’s possible at all is because the data has structure. When data is shaped consistently, AI can answer “which of my clients mentioned sleep issues this month?” without you pasting in 30 check-ins by hand. Without a standard, the AI is guessing at a different mess every time.

4. You can audit your own coaching. Want to know how many of your clients lost weight in the last three months? How many have stalled on bench press for four weeks? Average check-in compliance across your roster? If your data has a shared shape, a spreadsheet or a simple analysis tool can answer those questions. If your data is scattered across PDFs, you can’t even ask.

5. The market gets more honest. Once a standard exists, “we support data export” stops being a marketing claim and starts being a checkbox. A platform either exports the standard or it doesn’t. That asymmetry — coaches knowing what they’re owed — is good for every coach, including the ones who never plan to switch.

Why No Other Coaching Platform Has Shipped This Yet

The honest answer is: incentives.

Most coaching platforms charge subscription fees and grow by retention. The longer you stay, the more they make. Building a clean, structured export of every workout, check-in, meal plan, and form submission is not just engineering effort — it’s a quiet admission that you might leave. Platforms that depend on lock-in for retention have no commercial reason to make the door easier to walk through.

There’s also a deeper structural reason. To export the standard, a platform first has to have the data in a clean, structured shape internally. Some platforms store check-ins as freeform text blobs, programs as PDFs, meals as long strings. There is nothing structured to export. Building the standard would force them to first build the data model they should have built years ago.

That is why, as of May 2026, I haven’t found another coaching platform that ships a structured, full-coverage data export — let alone one based on a shared format. Some platforms will give you a CSV with a few demographic fields. Some will hand you a stack of PDFs if you ask nicely. None of them are speaking a portable language. The full audit of ten platforms walks through exactly what each one will and won’t export.

How Assistant Coach Already Ships in This Format

Assistant Coach is the full coaching stack: structured check-ins, a workout logger with inline video review (clients upload exercise videos pinned to specific sets and reps), meal plan and workout plan builders, structured goals, client notes and todos, a coach website with lead capture, and full data export. AI sits inside that stack — drafting check-in responses, summarizing trends across months of submissions, surfacing patterns you’d otherwise miss — but it isn’t the whole product. It’s the connective tissue that makes the rest faster.

The data export piece is where the standard comes in. When you export your Assistant Coach workspace, the file you get is the open Fitness Coaching Data Standard — a single structured ZIP containing your coach profile, every client, every check-in, every plan, every form submission, every assignment. Self-serve, no support ticket, no PDF. Available on every plan, including the free tier (currently capped at 15 clients in beta).

Equally important: the standard is open. If a competitor wants to ship their own export in the same format tomorrow, they can — and I’d consider that a win, not a threat. The whole point of a standard is that no single company owns it.

How to Use the Standard Today

If you’re a coach reading this and you’ve never seen a JSON file, the practical advice is short:

• If you’re already on Assistant Coach, you can export your full workspace in the open standard format anytime from your settings — every client, check-in, plan, and form submission.
• If you’re on another platform and considering switching, ask their support team: “Will you give me my data in the open Fitness Coaching Data Standard format?” If they say no, that’s a real data point.
• If you’re a coach who likes to keep an offline backup of your business, schedule a recurring export of your standard-format file the same way you’d schedule a card-payment reconciliation. Once a quarter is plenty for most coaches.

If you’re more technical, or you work with someone who is, the GitHub repository has the schema, the design principles, and a realistic example package. Pull requests, issues, and proposals are welcome.

Frequently Asked Questions

What is a fitness coaching data standard?

A fitness coaching data standard is a shared, product-neutral format that describes the things coaches work with every day: clients, check-ins, workout plans, meal plans, intake forms, and goals. Any platform that supports the standard can read and write the same file, so the data keeps its meaning when it moves. It’s the moving-box shape that everyone agrees on, regardless of what’s inside.

Why do fitness coaches and personal trainers need a data standard?

Because every coaching platform stores data its own way today, leaving your platform usually means leaving the data behind. A shared standard means you can move your full coaching history between platforms without losing meaning, keep backups another tool can actually read, and use AI tools on your own data without retyping context. It also makes “we support data export” a real claim instead of a marketing word.

Which fitness coaching platforms support the Fitness Coaching Data Standard?

As of May 2026, Assistant Coach is the only platform I know of that exports in the open Fitness Coaching Data Standard format. Most other platforms either offer no structured export at all or only export a handful of fields like name and email. Our 10-platform export audit walks through the current state.

Is the Fitness Coaching Data Standard open source?

Yes. The schema, the design principles, and a realistic example coaching package are all published openly on GitHub under an open license. Any coaching platform, migration consultant, or independent developer can use it, build importers or exporters on top of it, or propose changes without asking permission.

Do I need to be technical to benefit from the standard?

No. The standard is a contract between platforms. As a coach, you benefit indirectly: cleaner exports, better backups, the ability to switch platforms without losing client history, and AI tools that can read your data without you pasting context into a chat window. You never have to open a JSON file unless you want to.

What does V1 of the standard cover?

V1 covers coach profile and settings, clients and their assignments, intake and check-in forms with every submission, check-in records, macro-only meal plans, and workout plans with sessions and prescribed exercises. It deliberately excludes payment data, screenshots, media files, and platform internals. Future versions will add new domains as more platforms adopt the standard and real migration learnings surface.

Next Steps

Your coaching business is the relationships, the programs, the patterns, the years of observation. The data is the proof of all of it. It should never have to live and die inside one product.

A shared standard is the most practical step toward fixing that. It is small, public, evolving, and free to use — and as more platforms adopt it, fitness coaches and personal trainers stop being hostages to whichever tool they picked first.

Want to see what a coaching workspace looks like when the data is structured from day one? Try Assistant Coach free — check-ins, workout logger with inline video review, meal and workout plan builders, goals, notes, lead capture, and a one-click export of everything in the open Fitness Coaching Data Standard, included on every plan.

References

• Fitness Coaching Data Standard. (2026). GitHub repository.
• Fitness Coaching Data Standard. (2026). Design principles.
• Assistant Coach. (2026). Data export help docs.
• EUR-Lex. GDPR Article 20: Right to Data Portability. eur-lex.europa.eu.
• European Commission. EU Data Act. digital-strategy.ec.europa.eu.