You've Been Doing It Wrong All Along

Your experiments to validate your idea haven't produced the results you were hoping for. People aren't signing up, nobody is paying, interviews feel lukewarm, feedback is ambiguous, or worse, nobody seems genuinely interested. Your hypotheses haven't been confirmed, or perhaps the results are simply inconclusive. Does that mean you should abandon your project? Not necessarily. Before you do, try changing your validation methodology. The method you've been using may not be the right one. You may simply have been doing it wrong all along.

First, ask yourself whether you've truly adopted an entrepreneurial and scientific mindset. Have you prioritised real evidence over opinions? Have you spoken to people outside your immediate circle? Have you gone out into the real world? Are you sure you haven't fallen in love with your solution?

If you've done all of those things properly and still aren't seeing positive signals, or any signals at all, then look closely at why your previous tests produced, or failed to produce, those results and change your approach. At an early stage, a negative experiment does not always invalidate the idea. Sometimes it only invalidates that particular experiment. Don't change your project, at least not yet, before understanding what may have gone wrong.

Don't confuse your Idea with the experiment When we start building something new, everything is a hypothesis: who experiences the problem or friction, how much it matters to them, how they currently solve it, which message resonates with potential users, which channel works best for reaching them, which format builds trust, and when early adopters might be willing to pay.

Your experiment is designed to isolate one of those hypotheses. But if it is badly designed, it may end up measuring something completely different. The result can be negative even when the opportunity is real. The solution is simple: test again with a better experiment. Here are some of the most common mistakes so that you can avoid them.

Speaking to the wrong user This is probably the most common mistake of all. Why? Because any idea will seem "bad" if you show it to the wrong audience. There is a huge difference between presenting your project to students or managers, early adopters or the mass market, small businesses or large corporations, power users or casual users.

Conclusion: the problem exists, but not for the people you've been talking to.

The pain isn't painful enough yet Some frictions are real, but people accept them for different reasons. The current cost may feel manageable. They may not have reached a high enough level of frustration. Or changing may seem more expensive or complicated than carrying on as they are.

This happens frequently with digital tools or new processes that require a learning curve, even when the long term productivity benefits are clear.

Conclusion: a lack of urgency does not mean there is no problem.

Your message doesn't communicate value The same product or service can generate completely different reactions depending on:

• How it is explained and the language used.

• Which benefit is highlighted.

• Which problem it is said to solve.

That's why it's common to find that people are interested in both the problem and the solution, yet still aren't willing to pay for it.

Conclusion: if your communication is unclear, your idea won't fail because it's bad. It will fail because it has been positioned poorly.

The experiment requires too much commitment There is a huge difference between clicking a button, leaving an email address, booking a call, making a payment, or changing established habits.

Sometimes we try to validate our ideas too soon, and that requires an action that is too ‘costly’ for the people in our experiment. We ask them to do something they aren’t yet willing to do: make a purchase (when there is no trust yet), meet with us for two hours (too long), or show enthusiasm for a product or service they cannot yet see or touch.

Conclusion: the friction comes from the experiment itself.

You're using the wrong channel An experiment can fail simply because it never reaches the right people. This is different from choosing the wrong audience. It happens when you use channels that are ineffective for reaching them.

You might rely on overcrowded social media platforms, test in inactive forums, or use methods that people don't want to engage with. Long forms, multiple links, unnecessary steps, and complicated processes all reduce participation.

Conclusion: distribution and validation are deeply connected.

The experiment isn't measuring the right hypothesis Sometimes we think we're validating demand for our idea when we're actually measuring something else entirely: the quality of our copy, the design of a landing page, our interviewing skills, the level of trust we've built, or our perceived authority.

Conclusion: a poorly defined experiment leads to confusing conclusions.

Remember, your first experiment is not a verdict. It's simply the beginning of a conversation with the market, and that conversation needs to continue. Consider the possible pitfalls and ask yourself: is there really no demand for your idea… or have you simply failed to bring it to light?

AI-generated image.