Good enough is a slippery road.
Over the years, I’ve seen plenty of teams get stuck in analysis paralysis. They want to do it perfectly. They don’t delegate because they assume nobody else will do it as well as they would.
Let’s be honest. You’re probably not doing it perfect either.
You can do exactly the same thing with a product. One more feature. One more round of polishing. Still nobody using it.
You need to take action, you need to go fast.
You need to know whether you have customers at all. Are they willing to pay for what you’re producing? The only way to do that is ship it when it’s good enough. Sometimes even before that.
AI makes this worse. While you’re polishing version one, somebody with a smaller team, or no technical team at all, can already be putting something in front of users. Your product can lose before it ever really becomes a product.
Sometimes the right first implementation can be ugly, narrow, partially manual, or incomplete. You may not be proud of how it looks yet. But can the customer actually experience the value you are trying to test? That’s what has to work.
But “good enough” has another trap.
We know this part is wrong, but it is only an MVP. We can fix it later. We’ll clean it up once customers arrive. Except this is the part you need them to use now.
Cut scope, not standards.
If you only need one workflow to validate the product, build one workflow. If you can test the concept manually rather than automating the entire system, do that. Sometimes do a custom POC for someone and see whether it brings any value to them.
That POC doesn’t need to serve every customer you might eventually have. It needs to solve the problem you put in front of this customer. And be honest about what is still manual. If you’re selling automation but a person is doing the work behind the scenes, you’ve validated the outcome. You haven’t validated the automation.
If it brings value, great. Now you have a reason to invest more. Then you find out whether they keep using it, and eventually whether they’ll pay for it.
But don’t knowingly produce garbage in the part you are actually asking the customer to evaluate. An MVP doesn’t need every capability. It does need to provide enough of the intended value that the experiment teaches you something.
Otherwise a failed MVP may tell you nothing about whether the idea was bad. You may only have learned that people don’t want to fight a broken implementation to get their work done.
An ugly interface can wait if the customer can still complete the work. If they cannot get through the workflow, fix it. Calling it cosmetic won’t help. The same judgement applies to the result: if the customer has to check and redo everything, have you given them anything useful to evaluate?
The other question is whether you can undo the shortcut. An awkward internal implementation can be replaced later. Leaked customer data can’t. And fixing a wrong result later doesn’t undo a decision somebody has already made from it.
Move fast enough to find out whether you’re wrong before you’ve spent six months polishing it. But speed doesn’t give you permission to knowingly do bad work.
Good enough should mean: “This is enough to test the thing that matters.”
It should never mean: “We know this is wrong, but fuck it, we’ll fix it later.”
When this matters
How do I decide whether an MVP is good enough to put in front of a customer?
Execution, not consulting.
If you are looking for another strategy deck, Safyron is probably not the right fit. If you need someone who will still be there when the difficult work starts, read how Safyron operates.