The One Question That Predicts Product Success
After 50+ product builds, one question at kickoff predicts success better than any spec. Here's what it is and why it matters.
The Question Nobody Wants to Answer
We ask it on every kickoff call. Not because it is clever. Because after building over 50 products, we know the answer separates the launches that work from the ones that quietly die.
Here it is: "Who is using this, what are they doing right now instead, and why will they switch?"
Three parts. All required. Most founders can answer one of them.
Very few can answer all three with specifics. And that gap, right there, tells us almost everything we need to know about where the project is headed.
Why This Question Works
It forces a founder to leave the product and enter the user's actual life.
Not the imagined life. The current one, with the spreadsheet they hate, the WhatsApp thread that substitutes for a real system, the manual process they've accepted because nothing better existed yet.
When a founder can describe that in detail, they have done real discovery. They have talked to someone. They know what "better" actually means to a specific person with a specific problem on a specific day.
When they cannot describe it, they are building from theory. And theory has a poor track record.
The AI tool graveyard that filled up in 2025 and 2026 is the clearest proof of this anyone could ask for. Hundreds of technically strong products launched, got written up, went viral on Product Hunt, and were abandoned within 90 days. Not because the engineering was bad. Because nobody asked this question seriously before writing a line of code. They validated that people would try it. They never validated that people would keep using it.
What the Good Answers Look Like
When we were building SqueezyDo, a parts tracking SaaS now used by over 1,000 carriers, the founder's answer was almost uncomfortable in its specificity.
"Fleet coordinators at mid-sized carriers. Right now they're managing parts inventory in Excel, sharing the file over email, and losing track of which version is current. They hate it. I've watched three of them work and they all have the same workaround." Three parts. Specific. Grounded in direct observation.
That product shipped well. It got used. Carriers adopted it because it replaced something they were actively suffering through, not something they might eventually need.
With Canary Waves, an AI voice safety platform for industrial operations, the founding team had spent time on actual plant floors. They knew the shift supervisor's name, metaphorically speaking. They knew the workflow. They knew what a near-miss incident looked like in practice and what happened after. The product was built around that knowledge.
Contrast this with a project we were approached about that same year, an AI productivity layer for "knowledge workers." When we asked the question, the answer was: "Anyone who works in an office and needs to be more efficient." No specific role. No current behavior. No reason to switch. We passed on the project. Six months later, the founder pivoted.
What the Bad Answers Sound Like
There are a few patterns that appear again and again.
"Everyone." This is not an answer. This is avoidance dressed as ambition. A product for everyone is a product optimized for no one.
"People like me." Sometimes this works, but only if the founder has actually interrogated their own workflow and confirmed others share it. Most of the time, it means the founder is building something they personally want and hoping others feel the same.
"The market research says there's demand." Market research tells you people have a problem. It does not tell you they will pay your specific price, change their current behavior, and stay subscribed in month three. The graveyard is full of products that had demand data.
"Once they see it, they'll get it." This is the most dangerous answer. It places the entire burden of explanation on a product that has not been tested with anyone yet. Real adoption does not require the user to "get it." It requires the product to meet the user exactly where they are.
How We Use This in Discovery
When we build at Amazesofts, the kickoff process is built around surfacing this answer properly. Not just asking the question once, but pressure-testing the answer.
If a founder says "operations managers at logistics companies," we ask them to name one. Walk us through their day. What do they open at 8am? What triggers a bad day? When does this product enter their life, and what does it replace?
If the founder can do that, we proceed. If they cannot, we do a discovery sprint first. Talking to actual users is part of the engagement, not optional preparation for it.
This is how Gepard Finance was built. The founding team knew the exact profile of the mortgage buyer they were serving, what they experienced at a traditional brokerage, and where the friction lived. The platform was designed around that friction. Not around features. Not around a competitor's product. Around a real person's real problem.
What You Can Do Today
If you are pre-build, answer the three-part question out loud, to someone who will push back.
Who, specifically, is using this? What are they doing right now instead? Why will they stop doing that and use yours?
If your answers are vague, that is valuable information. It means your next step is not design or development. It is a conversation with five real people in the role you are targeting.
Fifty builds in, this is the most reliable signal we have. It is not about the idea. It is about whether the founder has left the building yet.
