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Club software, or build to fit

Three things decide it, and none of them is the feature list.

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Buy the product for everything that is not unique to your club, and configure what you already pay for. Build only the rule the product cannot express and members actually choose you for.

Is it a fit?

A rule, not a feature

The product cannot express something your club runs on.

Room to configure

What you already pay for is set up at a fraction of what it does.

Worth keeping

Members would notice if that rule went away.

Start here. The build or buy tool works out when building pays for itself.

Build or buy

Work it out in a minute

When does building pay for itself? →

Four numbers and one question about fit. Gives you the answer and what it is worth.

What you get

Start from the rule, not the feature list

Write down the rules your club runs on: guest policy, ladder, family plan, season, waitlist, house account. The ones no product holds properly are the whole question.

Configure what you already pay for

Most clubs are running a product at a fraction of what it does. Custom fields, membership types and automation rules usually cover more of the gap than anyone expects, and cost nothing new.

Build only what makes you different

A rule members would notice if it went away is worth building. A rule that exists because somebody set it up that way in 2019 is worth deleting instead.

Replacement is the expensive answer

Migrating members, balances, bookings and access cards is a season of work and a period where nobody trusts any screen. Worth it rarely, and never as a first move.

The member record decides the shape

Whatever holds the truth about a member is the system everything else reads from. Choose it deliberately, because every later decision inherits it.

Whatever gets built, you own

The code, the accounts and the data sit in your name, with the work written down. A club that cannot change vendors has bought a dependency rather than a system.

How to decide, in order

Start by listing the rules rather than the features. Guest policy, ladders and leagues, family and corporate plans, seasons, waitlists, house accounts. Then mark the ones your current product cannot express without somebody remembering a workaround.

Then look at what is still on the marked list. A rule members would notice if it disappeared is worth building around the product. A rule that exists because of how somebody set things up years ago is worth deleting instead.

Questions we get

How do we know if configuration is enough?

Take your marked list of rules to whoever supports the product and ask which ones it can express with custom fields, membership types and automation.

What survives that conversation is the build list, and it is usually shorter than people expect.

Is building a whole new system ever right?

Rarely for a single club. It is right when several sites share rules no product holds, or when the club sells something the category does not model.

Even then, the member record usually stays in a product and the build sits beside it.

What happens to our data if we build?

It stays where it is. A built piece reads from the system holding your members rather than taking a copy, because two copies of a member is the problem this is meant to end.

Everything built is in your name, with the work written down.

We are mid contract with a vendor. Does that matter?

Not much. Configuration and a built piece both work alongside a contract you are already paying for, which is one reason they come before replacement.

It also gives you a real list to negotiate the renewal from.

The operational side of the same question is in clubs and member systems.

More in the guides and every answer in one place.

Other engagements
App development Website development Backend and API development Admin dashboard development Business systems integration UI and UX design Process automation

Read next

The same question outside clubs, what a built system involves, and how the pieces you keep get connected.

Who does the work

Shaheer leads the work, with engineers, writers, filers and analysts behind him. C-suite operations for a San Francisco AI company, Six Sigma on the process side, Anthropic certified on the Model Context Protocol, ten years across eight industries. See what we have built

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