Good Failure vs. Bad Failure
Not all failures are equal. Good failures test core assumptions quickly and cheaply, producing clear answers. Bad failures scale effort before validation—consuming time and resources while avoiding the real risk.
Carter Cathey
3/27/20261 min read


Not all failures are equal.
Some failures build capability.
Others just burn time, money, and credibility.
I saw this play out at a company I worked with years ago.
The business was largely project-based, and there was a push to shift toward a more predictable, subscription-style model.
On paper, it made sense:
more recurring revenue
more predictability
better valuation profile
The problem was the customer behavior didn’t match the model.
Clients:
valued flexibility
couldn’t predict future demand
didn’t want long-term commitments
Those issues were visible early.
But instead of pressure-testing them quickly, the organization spent months:
building pricing models
designing packaging
developing GTM strategies
preparing rollout plans
Eventually, the model launched.
And within weeks, it was clear:
the core issues hadn’t been solved.
The initiative was scrapped.
That’s not a failure problem.
That’s a process problem.
A good failure:
tests the hardest assumption early
minimizes time and resource exposure
produces a clear answer quickly
A bad failure:
avoids the core risk
scales investment before validation
hopes the market will adapt
Most companies say they want innovation.
But what they actually need is:
discipline in how they fail.
Contact Carter Cathey
Reach out for collaborations or questions.
info@cartercathey.com
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