Building a software product from scratch can be both exciting and overwhelming. So, having a good idea alone is not sufficient to justify several months of design, development, and marketing.

Before asking how to build a software product, first ask this more important question. Does this product address a genuine problem for a particular group of people?

That’s where product validation allows you to find out the answer before committing to a big development investment. It examines the extent of customer pain, demand, competition, commercial potential and technical feasibility.

A practical validation process will enable you to decide whether or not to go ahead and build the product, alter the idea, test a different assumption or give up on it. This method is far more economical to spot a weak assumption early on than to have to launch a product that no one wants.

What Does Validating a Software Product Idea Actually Mean?

Validating a software product idea is the process of gathering evidence in order to decide whether or not it merits further investment.

Just because something has been validated doesn’t mean it will be successful. Rather, it lowers uncertainty and helps you to learn:

• Who is having the problem.
• The frequency with which the problem occurs.
• The actions that users take nowadays.
• Whether the existing solutions are good enough.
• Whether it is possible for customers to pay for an improved solution.
• Whether it is possible to build the product within practical limits.
• What features should be included in the first version.

The goal of this process is to replace the assumptions with evidence and not to show that the original idea is perfect. This method also aids in establishing the software product requirements, rather than attempting to build every feature that seems interesting. So, you can concentrate on those features which are related to a user problem that has been validated.

Steps to Validate a Software Product Development Idea

1. Define the Target User Segment for Your Product

Start by precisely determining who the product is intended for, as terms such as ‘small businesses’ or ‘online shoppers’ could be too general.

A better segment might be:

• Companies managing multiple clients across multiple regions.
• Independent accountants managing 5 to 15 clients.
• E-commerce brands handling 5000+ orders each month.
• HR teams in companies with 100 to 1000 employees.

This narrow segment makes your research easier since you are able to locate the right people, understand their way of working and spot common patterns. Record the user’s role, industry, company size, daily tasks, tools used and their level of decision-making authority.

2. Articulate the Problem Hypothesis

Note down the problem that you think your product will address.

A useful format is:

[Target users] struggle with [specific problem] because [root cause], which leads to [measurable impact].

For example: Because freelance accountants have to use a number of different tools, they find it difficult to reconcile client invoices, which in turn results in extra manual work and delays in the preparation of monthly reports.

The statement here separates the problem from the solution offered. At this stage, do not describe the features. Instead, concentrate on the users’ experiences and the costs that they suffer. In order to be a strong problem hypothesis, it is necessary to include information about frequency, impact and context.

3. Map Competing Solutions

Your product is not only facing off against other software companies, but it might also have to compete with spreadsheets, email, internal staff, agencies, manual processes or even the decision to take no action at all.

Find out how people currently solve the problem by asking:

• What tools do they use?
• What is the cost of those tools?
• What is the duration of the process?
• What problems do users face?
• Why have they not changed their current solution?
• What would make them switch?

Existing workarounds can show us both the demand and the level of competition. When users take several hours every week to keep a spreadsheet up to date, this may indicate that there is a genuine need. But if they are satisfied with the current platform, then your product should have a good reason for being looked at.

4. Test Demand with a Simple Concept

There is no need to build the entire product in order to test demand. The test must outline a single clear value proposition for one specific target segment.

Here’s what you can use:

• A landing page
• A waitlist
• A clickable prototype
• A brief video of the product
• A request demo form
• A manual or personalized service
• A pilot offer
• A pre-order or pre-trial

For example, a landing page could describe how your product cuts down on the time spent on weekly reports, after which you would be able to track the number of sign-ups, demo requests, pilot applications or payment commitments.

Actions carry more weight than opinions. When someone says, “That sounds useful”, it indicates that they are interested. So requesting a demo or a paid pilot program provides more solid evidence.

Rather than just asking, “Would you use this product?”, ask about their previous behaviour:

• When did this problem last occur?
• How did you solve it?
• How often does it happen?
• How much did it cost?
• Have you paid for a solution like this before?

5. Run a Technical Feasibility Spike

A technical feasibility spike is like having a short investigation into the most technically risky assumption. This small step might not complete the product but address a key question. A brief technical spike can result in months of development being wasted if the assumption turns out to be impossible or too costly.

Here’s what you may need to test:

• A third-party API
• Real-time data synchronization
• AI model accuracy
• Payment processing
• Large-scale file processing
• User authentication
• Hardware communication
• Database performance
• Data security
• Cloud infrastructure costs

For example, when your product relies on live bank data, create a limited proof of concept in order to check whether the data needed is available via the relevant APIs.

6. Evaluate the Evidence and Decide

Validation must conclude with a clear decision. Create a simple scorecard where each area can be rated on a scale from zero to five. A low score doesn’t necessarily indicate that the idea is wrong. It might just mean that you need to carry out more research or focus on a smaller target group.

Here are the areas for you to score:

Use the results to choose one of four paths:

• Build: Evidence indicating that we should proceed with MVP development.
• Change: The problem is genuine, but the target user, pricing or solution needs change.
• Test Again: One important assumption still lacks evidence.
• Halt: A crucial assumption is repeatedly found to be wrong and the opportunity is not sufficient.

As a result, the product decision becomes more objective.

How Long Does Product Validation Take and What Does It Cost?

A focused validation process usually takes about two to four weeks. The duration varies according to how easy it is to get access to the target users and the degree of complexity of the technical assumptions.

A typical process may look like this:

The costs depend on the people involved. For example, a small validation team might consist of a product strategist, a designer, a researcher, and a part-time engineer. A little bit of money spent on validation can stop the need for a much bigger investment in a wrong product.

Validation generally costs a lot less than developing a full MVP. Industry estimates suggest that MVP development can range from about $15,000 for a lean product to over $150,000 for software that is complex, regulated or requires a lot of integration.

Once the idea has been validated, a software product development company can assist you in turning the evidence into a prototype, a proof of concept, an MVP or a scalable application using these steps.

What Comes After Validation?

When you have gathered sufficient evidence, turn the findings into a clear product plan.

Here are the things you should define:

• Target users
• Core problem
• Main user journey
• MVP features
• Technical requirements
• Security needs
• Integration requirements
• Success metrics
• Development milestones
• Post-launch support needs

At this point is where the theory of how to plan a software product becomes practical. The results of the validation should be what guides your product roadmap rather than considering the original idea as final.

In short, begin with the least complex version that addresses the primary issue, then observe how users behave and make improvements to the product according to actual feedback.

Final Verdict

The first step in learning how to build a software product is to carry out validation, not writing code.

You should define a specific audience, clearly describe the problem, study the existing alternatives, test demand, investigate the technical risks, and then score the evidence. Following this process will help you avoid creating features that customers do not need.

If the evidence indicates that development should proceed, then go ahead and develop a focused MVP. But if the evidence is weak, improve the idea before spending any more money.

The most successful software products aren’t the result of guessing. Instead, they are produced by learning more quickly and making development decisions on the basis of real evidence.