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About the project

Written by people who've actually cleaned up the mess

Dataflow Tools exists because most advice about "getting organised" is either too abstract or trying to sell you something halfway through. This is neither.

A person at a desk reviewing printed spreadsheet pages alongside a laptop, sticky notes arranged along the edge of the screen
How this started

A side project born from repeated frustration, not a business plan

The person behind most of these guides spent years inside operations roles at small and mid-sized teams, the kind where "the system" was three spreadsheets, a shared drive nobody fully understood, and a CRM that half the team had quietly given up on.

Every few months, the same conversation happened. Someone new joined, opened the master sheet, and asked a completely reasonable question that nobody could answer: where does this number actually come from? Eventually it seemed more useful to write the patterns down than to keep explaining them one team at a time.

That's what this site is. Not a company, not a product, just a growing set of editorial guides based on what tends to actually work, and what reliably falls apart.

What we publish and what we don't

A short, honest list of boundaries

We publish

Editorial guides on structuring sheets, naming files, organising folders and deciding when a database earns its complexity.

We explain reasoning

Why a particular tab structure survives five editors, and why another one, that looks almost identical, doesn't.

We don't sell software

No tool, plugin or subscription is promoted on this site. If a guide mentions a tool by name, it's incidental, not sponsored.

We don't offer consulting

There's no booking link hiding behind these guides. What you read is the full extent of what's on offer.

Editorial standards

How a guide gets written

Each article starts from a recurring, real operational pattern rather than a trend or a keyword. We describe what tends to happen structurally, not what any specific company did, since we don't publish client stories or case studies.

We avoid absolute claims. Data organisation depends heavily on team size, industry and habits, so guides are written as reasoning frameworks you can adapt, not rules to follow blindly. If something is genuinely situational, the article says so rather than pretending there's one correct answer.

Handwritten editorial notes and a printed article draft spread across a desk next to a coffee cup and pen

Have a topic you think we've missed?

We're always looking at which operational headaches deserve a proper write-up next. If a specific spreadsheet or filing problem keeps coming back for your team, we'd like to hear the shape of it.

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