Why Good Data Isn't Enough: What Gets a Grant Funded

You've done the work. The data is solid. The science is good. So why did the rejection come back?

It's something I hear a lot. And the honest answer is that it usually has nothing to do with the quality of the science. Getting funded is a communication problem as much as anything else. Here are the things that actually matter and can help you get started on writing your best application yet!

Know Your Funder Before You Write a Word

Before you write a single sentence, work out who you're writing for. Is this funder interested in clinical translation, or do they fund basic research? Are they a disease charity, a national body, an industry partner?

This shapes everything - the way you frame your problem, the endpoints you pick, the language you use. A clinician panel and a basic science committee are not the same audience. If your application doesn't account for that, it'll struggle with both.

The Tips That Actually Make a Difference

Know who's reading it - and don't assume they know your area

Even expert reviewers might not be specialists in your specific niche. Write for someone who understands science broadly but hasn't spent years in your field. No unexplained acronyms, no assuming things are obvious. And don't try to show depth by making it dense. Reviewers are often time poor, so you want to make it as easy as possible for them, wherever you can!

Put your central message first

Reviewers are going through a lot of applications. By the time they get to yours, you have a small window. Don't make them work to find your point. State your central question, why it matters, and how you're going to answer it - upfront, in the first paragraph. And make sure you can condense all of that into one sentence. If you can't, the framing still needs work.

Be specific about the gap - and why you're the one to close it

A good application does two things: it makes the case that this problem matters, and it makes the case thatyou can solve it. That means being specific. Not 'this area is understudied' - but what exactly is missing, and why your approach, your tools, your expertise, puts you in the right position to address it. Think about incorporating your track record, specific expertise areas, personnel and equipment/experiments only you can provide.

'Advancing the field' won't cut it. Precision will.

Good figures do a lot of work

People scan before they read. A clear, well-made figure - a hypothesis schematic, a summary of your preliminary data, a model - can communicate more than a page of text. If your figures are an afterthought, they'll read like one.

Use your preliminary data

Preliminary data is your proof of concept. Don't bury it. Use it to show that the approach works, the model is established, the assay is validated. It's what gives reviewers confidence that something will actually happen if they fund you.

Tell a story

An application isn't a list of experiments. It needs a beginning (the problem, the gap), a middle (your approach and your aims), and an end (what changes as a result). Each aim should flow logically from the last. Your central question should run through the whole thing - referred back to, directly answered.

If someone could pick up one aim and read it with no context from the others, the narrative isn't there yet.

Know your scope

The budget and timeline aren't just admin. They're where reviewers check whether you've thought about this realistically. Know the funding ceiling, know what you can actually deliver in the time available, and build your aims around that. This is where over-ambition shows up - and it does show up.

The Two Biggest Pitfalls

1. Thinking good data speaks for itself

This is the most common one. Researchers with genuinely strong science submit applications assuming the data will land on its own. No narrative, no clear framing, no story around why it matters. It doesn't work.

Good data is the foundation. But you still have to build the case around it.

2. Over-ambition

Funders aren't looking for the most ambitious application. They're looking for the most fundable one. That means a scope they can actually believe in, given your team, your timeline, your resources.

Scale back. Be ruthless about it. Three solid, well-argued aims will do more than six sprawling ones. No one funds what they don't think you can pull off.

Final Thought

Getting funded is a skill. It improves with practice, with feedback, and with being honest about what isn't landing.

That's exactly what I help researchers do.

If you want support on your next application, get in touch.