What Is a Proof of Concept (POC)? Meaning, Steps, Costs, and a Free Template

The software development process comprises many essential moving parts that can hardly be overlooked or underestimated. One is an end-to-end feasibility and viability study of an early-stage idea that is not mature enough for technology enablement and consecutive implementation. 

For example, suppose you are in the mood for traveling. In that case, you research potential sightseeing destinations, assess the availability of free time, and check the most affordable spots on Airbnb or Booking before buying plane tickets and scheduling some time off your work. The next traveling endeavor is exciting, but without putting your plans and ideas to the test, you may not end up with the vacation you expected.

Like any idea, a new software development idea needs to be validated and prepared to respond to real-life problems and challenges. There are multiple ways for entrepreneurs to confirm that a raw idea is applicable to practice. In one of the previous articles, we contrasted POC vs. Prototype vs. MVP, but today, we will talk about the approach that allows you to test a raw idea without commitments.

We’ll put proof of concept POC in the spotlight, it’s a common practice for those planning MVP development or adding new features to an existing product. Let’s define and explain this term and consider the topic of POC in software development in detail.

Key Takeaways:

• A proof of concept validates a critical assumption before significant time and money are invested in full product development.
• A POC is not necessary for every project. It is most valuable when the idea involves technical, business, regulatory, or AI-related uncertainty.
• Keep the POC focused and measurable. Define one key assumption, set clear success criteria, and test only what is needed to answer the question.
• Most focused POCs take one to two weeks and cost considerably less than an MVP, with the final budget depending on technical complexity, expertise, and the number of unknowns involved.
• The POC result informs the next step. A validated assumption can move into discovery and MVP planning, while an unsuccessful test can help the team refine or abandon the idea before costly development begins.

What Is a Proof of Concept? (POC Meaning)

A proof of concept in software development isn’t just fancy startup vocabulary. It’s a feasibility study of a novice idea in the earliest stages of the project. It eventually leads to obtaining confirmation of the idea’s credibility and readiness for the target market.

Importantly, the proof of concept approach in software development allows you to verify that a product or feature idea is feasible and capable of living up to user needs. It may even note how it can work and the possible tech required for its creation. POC involves doing research, lets you collect early feedback and eliminate risks and errors in the later stages of the SDLC or product development life cycle.

The proof of concept definition also implies that the project:

• will solve real-world problems;
• can be implemented with present-day technologies;
• is safe from potential roadblocks.

When Do You Need a Proof of Concept?

A POC proof of concept is usually conducted after the ideation stage and before detailed project planning, often at the beginning of the discovery phase. At this point, the team has a defined product idea but may still have unanswered questions about its technical feasibility, market assumptions, or regulatory constraints. Testing these questions early can prevent the team from investing time and budget in an approach that may not work.

However, a POC is not a mandatory step for every project. If the product relies on well-understood technology, proven integrations, and familiar user flows, a separate feasibility test may add unnecessary time. A standard CRUD application built with a known tech stack, for example, typically has too little uncertainty to justify a POC.

A POC makes more sense when one specific assumption could determine whether the product is viable at all. Before starting one, the team can identify the question that needs to be answered and consider whether a POC is the fastest and most cost-effective way to get that answer. Typical reasons include:

• Unfamiliar technology: An integration, architecture, or technical approach the team has not worked with before could create unexpected limitations.
• Unproven business assumptions: A marketplace may depend on demand from both sides, while a fintech product may rely on a payment flow that has not yet been validated.
• Regulatory or hardware constraints: Compliance requirements or physical-device limitations could make the original concept impractical.
• AI feasibility: An AI proof of concept can test whether a model performs a narrow, critical task well enough to provide real value.

The key is to keep the POC focused on one high-risk assumption rather than trying to build a smaller version of the entire product. For example, a marketplace could test demand through a landing page or manually facilitate transactions instead of developing the full platform. Similarly, an AI POC can establish whether a model can reliably handle a specific task before that capability becomes part of the MVP scope. Once the critical uncertainty is resolved, the team can move into detailed discovery, scope the MVP, and plan the actual product development with much greater confidence.

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What Are the Benefits of Proof of Concept?

Now that we know what is POC in business, let's take a quick look at why this process is meaningful and which gains it can bring. Some of the major proof of concept benefits include:

• Business viability evaluation — going through POC lets you answer a vital question: is this idea worth it business-wise? You get to study preliminary data and make certain that there exists a problem that needs solving, that there is demand for such a feature, product, or service, that there's customer interest, and the market is ready for it. Hence, you can use evidence to decide whether you want to engage in full development.
  
  
• Validating technical feasibility — proof of concept allows you to ensure that it is technically possible to bring such a solution to life. By finding out about probable gaps from the start, it'll be easier to iterate before full-scale development starts.
  
  
• Mitigating tech-related risks — a POC is also a way to avoid risks before getting things done and putting to question initial expectations. You get to identify various bottlenecks and possible issues early on, as you'll investigate integral parts of product development dealing with the optimal tech stack, solution scalability, performance, integrations, and other fundamentals.
  
  
• Reducing financial risks — importantly, going through a proof of concept requires much fewer resources than developing a full-fledged and complete product. This way, you can weigh the pros and cons of investing in the project, calculate a realistic estimate of the expenses and resources needed, as well as the potential ROI. Not to mention that even if a POC proves that the idea isn't a good one, this can save you the trouble of investing in a non-viable product.
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• Refining the business strategy — with a clear understanding of all the points mentioned above, you can better mold the business strategy, choose an appropriate model, polish your product scope, as well as put together logical requirements and specifications, which will all surely help you with a smoother product or MVP launch.

How to Run a Proof of Concept in 7 Steps

A proof of concept works best when it is treated as a focused experiment rather than a smaller version of the future product. The goal is to test the most important assumptions, reduce uncertainty, and collect enough evidence to decide whether the idea is worth taking further.  

1. Define the Business Idea and POC Objective

It’s vital to start by moving from assumptions to a clearly defined business idea. If the concept is still vague, it will be difficult to conduct meaningful research or explain the value of the future solution to stakeholders. A useful starting point is to find a business idea and define the problem it is intended to solve.

The main question at this stage is: What do I want to explore through the POC? Identify the target users, their potential pain points, and how the proposed solution could address them. This gives the team a clear objective and makes it easier to write a product problem statement.

2. Settle on the Scope of the POC

Once the objective is clear, determine what the POC will and will not cover. The scope should include only the research, use cases, or technical components necessary to answer the central question. Defining these boundaries early also helps prevent scope creep.

For example, a POC might test a specific use case or determine whether a particular technical approach is feasible. Tasks such as feature prioritization, detailed MVP planning, and MVP cost estimation can usually wait until the discovery phase.

3. Set Success Criteria and Performance Goals

Before starting the experiment, define what evidence will count as a successful POC. Begin by generating and validating product hypotheses, then establish measurable criteria for testing them. The goal is to avoid relying on vague conclusions such as “it seemed to work.”

Depending on the idea, relevant proof of concept success criteria could include:

• positive feedback from potential users;
• survey responses confirming that the problem is common;
• a target number of waitlist sign-ups;
• a specific number of landing-page leads;
• successful completion of a technical workflow;
• a defined accuracy, reliability, or performance threshold.

Tracking relevant startup KPIs and metrics can help turn the experiment into measurable evidence. For user-facing tests, tools such as Amplitude or Mixpanel can also provide useful behavioral data.

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4. Choose the Participants and Resources

Next, determine who will run the POC and what resources they need. The team should generally be as small as possible while still having the expertise required to build and evaluate the experiment. Depending on the project, this may involve developers, business analysts, designers, marketers, testers, or stakeholders. Reviewing the appropriate startup team structure can help clarify responsibilities and decision-making roles.

It is equally important to identify the right target audience. Testing assumptions with random respondents can produce misleading results if those people are unlikely to become actual users. Instead, define the relevant audience, choose appropriate communication channels, and use their feedback to inform future user stories.

5. Estimate the Duration and Effort

With the scope and resources established, estimate how much time and effort the POC will require. A focused POC often takes one to two weeks, although the timeframe depends on the assumption being tested.

Break the experiment into specific tasks, estimate the required person-hours, and account for potential technical or research risks. If the POC starts looking like a month-long development project, that may be a sign that the scope needs to be narrowed. Creating accurate project estimations at this point also makes expectations easier to manage with stakeholders.

6. Conduct the POC Activities

Once the plan is in place, the team can move on to implementation. The exact activities will depend on what needs to be validated and may include:

• conducting user, competitor, and market research;
• testing whether a SaaS idea can be implemented with the available technology;
• creating a landing page and measuring interest;
• conducting interviews, surveys, or focus groups;
• sending targeted email campaigns;
• testing a technical integration or AI capability;
• outlining potential iterations and a product development roadmap.

The important distinction is that the team should build only what is necessary to answer the POC question. A polished interface or production-ready infrastructure adds little value if the underlying assumption has not yet been validated.

7. Evaluate the Results and Decide What Comes Next

After completing the activities within the POC scope, analyze the collected data, technical results, user insights, and feedback against the success criteria established at the beginning. The outcome should provide enough evidence to decide whether the idea should move forward.

There are usually three possible outcomes:

• The POC succeeds: The critical assumption has been sufficiently validated, so the team can move toward product discovery and development.
• The POC partially succeeds: The results reveal weaknesses that require changes to the original concept or another round of testing.
• The POC fails: The assumption does not hold, but the team has learned this before committing significant development resources.

A failed POC is therefore not wasted work. Its purpose is to replace uncertainty with evidence — even when that evidence shows that the original idea needs to change or should not be pursued.

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Proof of Concept Template

To ensure a smooth and effective proof of concept process you'll need a systematic approach. This way, you'll have more chances to end up with a well-executed POC that delivers the desired outcomes. To equip you with a solid plan, we've put together a simple proof of concept template. This proof of concept checklist can serve as a roadmap, guiding you through the key checkpoints and helping you test the waters in an organized manner. So, roll up your sleeves and get started!

What Does a Proof of Concept Cost and How Long Does It Take? 

A proof of concept usually takes one to two weeks and costs significantly less than building an MVP because it focuses on validating a specific assumption rather than delivering a working product. The exact budget depends on what needs to be tested: a simple API integration requires far less work than a complex AI/ML experiment involving new technology or multiple dependencies.

These figures are rough estimates rather than fixed industry rates. The main cost drivers are the number of unknowns being tested, the technical complexity, the expertise required, and any external integrations or research involved. A tightly scoped POC should remain focused on the assumption it was designed to test rather than gradually expanding into an MVP.

Upsilon's $6,000 two-week project discovery team engagement provides a useful real-world benchmark for a short, fixed-scope validation process. A POC follows a similar timeframe and fixed-scope logic, but its purpose is narrower: to answer one critical feasibility question. If the assumption is validated, the team can then move on to detailed discovery and estimate the cost of the actual MVP.

The short timeframe can also protect teams from much more expensive mistakes later in development. Gartner predicted that at least 30% of generative AI projects would be abandoned after the proof-of-concept stage, citing issues including poor data quality, inadequate risk controls, escalating costs, and unclear business value. This makes the cost of a POC easier to evaluate: the goal is not simply to spend less on an experiment, but to discover whether an idea is worth a much larger investment before that investment is made.

Proof of Concept Examples

How can you harness the power of POC? Let's overview a few notable examples of proof of concept usage. These companies leveraged POC, which eventually led them to success.

Netflix

Bringing up a proof of concept in software development, Netflix's story about harnessing innovation is a great fit. Initially, Netflix was a service offering to send DVDs by mail. Yet ten years after its 1997 launch, the company completely transformed its business model and introduced an Internet version of its video services available on subscription. How did they ensure demand for transitioning online and shifting to such digital content?

Starting from 2000, the team leveraged data analytics and studied user behavior based on the collected data. They came to discover that this could be a wonderful opportunity for business expansion. Their online version reached over 4m subscribers by 2005, which served as a basis for their 2007 launch of video streaming services. Their value proposition still focuses on accessibility and affordability, making the product such a global hit today, appreciated for its great recommendation engine with personalized suggestions.

Airbnb

Mentioning another notable POC in software development example, Airbnb is the most reputed service for finding and booking properties for travelers. They came up with an idea to streamline the collaboration of hosters and co-hosters to make the management process more efficient and straightforward.

The company initiated a POC in Tokyo to lay the foundation for the new feature of co-hosting. As Cameron Wu, an Experience Designer, mentions: "It would be several months before we could design and implement the components of our service, so in order to test the concept, we launched a service prototype in Tokyo." The goal was to create a simulation of the new feature, which is still in the early stages of development. Today, Airbnb is among the most renowned MVP examples for inspiration.

Canva

Here's another great example of proof of concept in business. Back in 2013, Melanie Perkins, an Australian entrepreneur, wanted to transform the concept of digital design, making it more accessible to the masses. The aim was to provide a straightforward alternative to difficult-to-grasp design platforms like Microsoft and Adobe and help people no matter what they wanted to accomplish (e.g., make a logo, social media images, business cards, presentations, or anything else).

Before rushing to build the full-fledged online design platform, Melanie and the team wanted to test out the idea, so they set up a petite online school yearbook design business. In particular, they launched a website that helped them prove their hypothesis: there's a need for such a simple design solution.

Amazon Go

It took a substantial amount of time before the first Amazon Go shop went to market. Initially, the company needed to test the idea and provide evidence that it would be in demand among ordinary consumers. In the process, Amazon leveraged Amazon Compute Optimizer to efficiently manage their computing resources and reduce costs while scaling the infrastructure for their new retail concept.

For that, Amazon had to prove the viability of its new product by testing it on employees internally. After a couple of rounds of trying different technologies, Amazon came up with the perfect combination of tools, which was included in the Amazon Go facilities.

Zappos

Zappos offers one of the simplest examples of validating a business assumption before building the infrastructure behind it. In 1999, founder Nick Swinmurn wanted to find out whether people would actually buy shoes online, which is a particularly uncertain proposition at a time when customers could not try them on first.

Instead of investing in inventory or warehouses, he photographed shoes at local stores and posted the images on a basic website. When someone placed an order, Swinmurn bought the shoes from the store at full price and shipped them himself. The process was not profitable, but that was not the point: it confirmed that customers were willing to buy shoes online. That evidence gave Zappos a reason to invest in a real e-commerce operation and scale the business.

Common Proof of Concept Mistakes 

A POC is meant to reduce uncertainty before a team commits to a larger investment, but the process can easily lose that purpose. Most MVP mistakes come from making the experiment too broad, judging its results too loosely, or treating the POC as either a finished product or an unnecessary delay.

Testing More Than One Assumption at Once

A POC that tries to validate the technology, UI direction, market demand, and business model simultaneously can produce results that are difficult to interpret. If several things change at once, it becomes unclear what actually caused the outcome.

The better approach is to identify the single assumption that creates the most risk and design the POC around it. If another critical assumption also needs idea validation, it can be tested separately rather than making one experiment unnecessarily broad.

Skipping Success Criteria

Starting a POC without defining what would constitute a successful result makes the evaluation subjective. When there is no clear pass/fail threshold, almost any positive signal can be interpreted as a reason to continue, even if the original assumption has not really been proven.

Success criteria should therefore be established before the POC begins and tied directly to the question being tested. This could be a technical performance threshold, a specific number of successful transactions, or a measurable level of user interest.

Polishing the POC Like a Demo

A POC does not need to look like a finished product. Spending time on visual design, animations, advanced UI, or production-ready infrastructure can distract the team from the actual purpose of the experiment.

A functional prototype that clearly answers the question is more valuable than a polished demo that looks impressive but provides little useful evidence. The focus should remain on what the POC proves, not how finished it appears.

Treating a Passed POC as a Finished MVP

A successful POC confirms that a particular assumption or approach is feasible. It does not prove that the entire product is ready for real users, large data volumes, security requirements, edge cases, or production workloads.

Once the POC succeeds, the team still needs to define the product scope, prioritize features, estimate the budget, and plan the development process. Moving from a validated POC to an MVP is a separate stage, not a continuation of the same experiment.

Skipping the POC to Save Two Weeks, Then Losing Two Months

A short POC can feel like an unnecessary delay when the team is eager to start development. However, skipping validation simply moves the risk into a more expensive MVP stage of the project.

If a critical assumption turns out to be wrong several weeks into MVP development, changing direction can mean rewriting code, changing requirements, and losing development time. Spending one or two weeks testing the assumption upfront can be far cheaper than discovering the same problem after months of development.

Running a POC Without Anyone Who Can Act on the Result

A POC is only useful if its findings can influence the next project decision. If nobody with authority over the scope, startup budget, or product direction is involved in reviewing the results, the team may end up collecting evidence without being able to act on it.

The person responsible for deciding whether to proceed, change direction, or stop should therefore be involved in the evaluation. This keeps the POC connected to an actual business decision rather than turning it into a technical exercise with no clear next step.

What Happens After a Proof of Concept?  

A POC that meets its success criteria does not mean the idea is ready for development. It means that the most important assumption has been validated. The next step depends on what still needs to be tested. If the user experience or interaction design is still uncertain, the team may move to a prototype and test it with real users. If the product concept is already well understood and the POC has addressed the main technical risk, the team can move directly to MVP planning.

If the POC fails, the result can still save significant time and money. The team has discovered that a critical assumption does not hold before committing to a full MVP build. At this point, the idea can be adjusted, another approach can be tested, or the project can be stopped altogether.

In either case, the next step is to define the scope of the smallest viable product. A POC, prototype, and MVP serve different purposes and should be treated as separate stages with separate goals. Keeping these stages distinct helps prevent a small validation exercise from turning into an unnecessarily large development project.

Once the core assumption has been validated, Upsilon's discovery phase services can help turn the findings into a defined product scope, architecture, and development timeline. This gives the team a clear plan before MVP development begins and makes the transition from validation to implementation more predictable.

Final Thoughts on Proof of Concept (POC)

Only about 10% of startups survive their first year after launch, according to startup failure statistics. A proof of concept won't change those odds on its own, but it does move the riskiest question “Can this actually be built?” to the point where answering it is still cheap. A two-week POC that ends in a "no" is a far better outcome than a six-month MVP build that ends in the same place.

The proof of concept examples covered above share one trait: the value came from what got documented, not from the code that got written. A POC that produces a clear record of what was tested, which success criteria were met, and what the go/no-go decision was gives your team something to reference in prototyping, MVP scoping, and investor conversations. A POC that produces only a working demo and a verbal "it seems fine" leaves you re-litigating the same questions three months later. 

Treat the result as a decision, not a deliverable. Whether the answer is to proceed, adjust the approach, or drop the idea, a POC has done its job the moment it replaces an assumption with evidence. If you want to get the most value from a proof of concept in software development and still have questions about how to approach it, you can get in touch with our team.