One of the most common mistakes in entrepreneurship is starting software too early, and another is starting too late.
Some startups spend months writing code before the problem is even clear, while others fail to bring the product to life despite receiving strong signals from the market. In many cases, the result is the same: wasted time, unnecessary cost and a drop in motivation.
The main reason for this uncertainty is usually that these concepts are confused with one another: POC, MVP and product.
In entrepreneurship, the right time to start software should be determined not by the excitement of the idea, but by which uncertainty it is testing.
When Should You Start Software in Entrepreneurship?
Whether software should be started in a startup depends less on the question “are we ready?” and more on this question:
What is the biggest uncertainty?
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Is it technically possible?
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Do users really want this?
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Will they pay for it?
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Can this solution scale?
The right step changes according to these questions. This is where the concepts of POC, MVP and product come into play.
What Is a POC (Proof of Concept)?
A POC is work done to test whether an idea is technically possible.
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Purpose: Reduce technical risk
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Target audience: Usually the internal team, technical decision-makers or investors
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Outcome: A clear answer to the question, “Does this really work?”
A POC is often visually imperfect, and user experience is not the priority. What matters is proving that the idea can be brought to life technically.
Not every startup has to do a POC. If technical uncertainty is low, meaning similar solutions already exist in the market, the POC stage can be skipped.
What Is an MVP (Minimum Viable Product)?
An MVP is the stage where the startup makes its first real contact with the market.
The goal is not to “show a product”, but to measure user behaviour.
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Purpose: Reduce market risk
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Target audience: Real users
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Outcome: A clear value offered with minimal features
MVP does not mean a small product.
An MVP is the most stripped-down product that solves the most critical problem.
The most common mistake here is this:
“An MVP is not a simplified version of all features.”
The correct statement is:
An MVP generates maximum value in a single main scenario.
What Is a Product?
The product stage begins after it becomes clear that the MVP works.
The focus is no longer “does it work?”, but is it sustainable, can it scale?
The topics that come into play at this stage are:
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Architectural robustness
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Performance and security
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User management
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Scalable infrastructure
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Processes and support mechanisms
A product is a value that has been placed on a solid foundation.
The Right Order: POC → MVP → Product (But POC Is Not Always Required)
To outline a general framework:
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If technical uncertainty is high → POC
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If market uncertainty is high → MVP
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If value is validated → Product
For example:
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A POC makes sense in areas such as artificial intelligence, hardware and IoT
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In standard business models (SaaS, marketplaces, booking, etc.), it is often possible to move directly to an MVP
The important thing is to use software to answer the right question.
How Is an MVP Defined? (The Point Where Founders Make the Most Mistakes)
To define an MVP correctly, the following three questions must be answered clearly:
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Why would the user use this product on day one?
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Where is the part of this business that makes money?
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Which assumption carries the biggest risk?
The intersection of these three questions is the MVP.
If the MVP list consists of dozens of items, the MVP has most likely been defined incorrectly.
Correct Step by Step Path: From MVP to Product
1. Problem Definition
It must be clear whose problem you are solving and what that problem is.
2. Value Proposition
In one sentence: “It delivers result Y to person X in way Z.”
3. Pre-validation
Talk to users before writing code, measure interest.
4. MVP Development
Focus on one main scenario and consciously leave out extras.
5. Measurement and Feedback
Are users really getting value, are they coming back, is there conversion?
6. Productisation
Architecture, performance and scale are now the priority.
In this approach, speed comes not from writing more code, but from learning faster.
When Should You Not Start Software?
If the following apply, you need to stop:
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If the target audience is unclear
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If the MVP scope is growing uncontrollably
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If nobody has spoken to users at all
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If there is a mindset of “let’s build it once, we won’t touch it for a long time”
Startup software is a living structure; it is measured, learned from and continuously developed.
The right time to start software in entrepreneurship is not the moment when everything becomes clear.
The right time is the moment you know which uncertainty you are testing.
First launch the MVP, then move step by step to the full product.
Because in entrepreneurship, the biggest advantage is not perfection, but moving in the right order.