The Numbers Problem

What would you prefer:
➡️  to know upfront you’re not eligible, or
➡️  to spend forty-plus hours believing you might have a chance?

Most grant programs are incentivised to maximise application numbers.

High volume reads as demand.
It justifies budgets. It signals visibility.
From the outside, it looks like success.

But application numbers alone rarely tell the full story.

If 30% of applicants are ineligible, fewer than 10% are shortlisted, and 2% are funded, the data may be measuring friction more than genuine demand.

Because the real questions are rarely discussed publicly: 

• Were the right people applying?
• Did applicants actually understand the assessment criteria?
• How many founders invested significant time into applications that were never realistically competitive?
• How many strong businesses self-selected out because the process felt inaccessible, confusing, or stacked against them?

Across many assessment processes, one of the clearest patterns is that volume and quality are not the same thing.

In fact, extremely high application volume can sometimes indicate the opposite: unclear positioning, poor eligibility signalling, or funding programs broad enough to attract thousands of hopeful but misaligned applicants.

And once application numbers become the KPI, meaningful feedback becomes inconvenient.

Why? Because honest feedback often reveals uncomfortable truths for the program administration team.

The criteria may not be as clear as applicants believe.
The competitiveness threshold may sit far higher than the guidelines imply.
Strong founders may be screened out early because they misunderstand hidden assessment expectations.

Without question, most founders can handle rejection.

What damages trust is investing enormous time, energy, and emotional bandwidth into a process that was never transparent about the odds or expectations in the first place.

A 2% success rate from 1,000 applications is not automatically evidence of a strong program.

Sometimes it’s evidence of a system generating noise at scale.

And if founders are spending weeks preparing applications with almost no realistic pathway to success, we should be asking harder questions about what these systems are actually optimising for.

Because if the primary outcome is exhausted applicants, overwhelmed assessors, and thousands of wasted founder hours, then application volume is not a success metric.

It’s a warning sign.