PoC in SDLC: Why "Try First" Can Save Millions?

Imagine you’re a developer asked to add a real-time notification feature to an existing application. Or maybe you’re asked to integrate AI for a product recommendation system. Or even migrate a legacy application to cloud computing.

The first question that comes to mind: “Can this technology really work according to our needs?”

This is where Proof of Concept (PoC) comes into play. PoC is like a “trial run” before you build a house. You don’t just build a three-story house without knowing if the foundation is strong, right? PoC is the foundation you test first before building the entire structure.

But PoC isn’t just for large projects. PoC is also very useful for individual features that are complex or high-risk. Whether you’re building a new product from scratch or adding features to an existing application, PoC can be a very valuable “safety net.”

Difference between PoC, Prototype, and MVP

1. What is PoC Actually?

Proof of Concept (PoC) in the context of software development is an initial demonstration or trial created to prove that an idea, technology, or solution can work well in a more limited scenario before being developed further.

Simply put, PoC is the answer to the question: “Can this really work?”

PoC differs from prototypes or MVP (Minimum Viable Product):

PoC: Focuses on validating a concept or technology. “Can technology X do Y?”
Prototype: Focuses on validating design and user experience. “Is this design easy to use?”
MVP: Focuses on validating the product in the market. “Will people pay for this product?”

PoC is usually the simplest version that only proves that something can work. It doesn’t need to be pretty, complete, or production-ready. What matters: it can prove the concept.

Starting from PoC, then prototype, MVP, then Product

PoC at Feature Level vs Product Level

PoC can be used at two different levels:

PoC at Feature Level: Used to validate a specific feature before integrating it into an existing application. For example: validating whether a fuzzy search algorithm can work well before adding it to an existing search feature.

PoC at Product Level: Used to validate technology or architecture for a new product or major changes. For example: validating whether microservices architecture is suitable for a monolithic application that will be refactored.

Both are equally important, but the context and scale are different. PoC at the feature level is usually faster and more focused, while PoC at the product level requires more strategic considerations.

Interesting Fact: PoC often runs only on a developer’s laptop, without complex production infrastructure. This is intentionally done to save time and costs. If the concept proves to be unfeasible, you don’t need to waste time building expensive infrastructure.

2. Why is PoC So Important?

Software Development Life Cycle (SDLC) is a series of phases from idea to finished product. PoC can be a “lifesaver” at various stages for several reasons:

Reducing Risk and Saving Time-Cost

Imagine you’ve spent 6 months building an application with a certain technology, then halfway through you discover that the technology can’t meet the desired performance requirements. PoC helps you avoid this nightmare scenario.

Feature Level Example: You want to add a more advanced search feature with fuzzy matching. Without PoC, you might spend 2 weeks integrating a library, only to find that its performance is too slow. With PoC, you can find out in 2 days that the library isn’t suitable.

Product Level Example: You want to build a new application with serverless technology. Without PoC, you might spend 3 months building the application, only to find that the cold start time is too long. With PoC, you can find out in 1 week that the technology isn’t suitable.

Helping Make Better Decisions

Stakeholders often struggle to decide which technology to use. PoC provides concrete evidence, not just theory or vendor promises. If you’re comparing two technologies for AI integration, you can create PoCs for both and see which one is easier to integrate or more suitable for your needs.

Early Problem Identification

Problems found in the early phase are much cheaper to fix. PoC helps you identify potential technical problems early: integration issues, performance, or scalability.

3. PoC Implementation Examples: Feature Level vs Product Level

Let’s look at some concrete examples of how PoC is used, both at the feature level and product level.

PoC at Feature Level

Example: Real-Time Notification Feature

A chat application wants to add real-time notifications using WebSocket. The developer creates a PoC to test whether WebSocket can handle 1000 simultaneous connections without performance issues.

PoC Results:

WebSocket successfully handles 1000 connections with latency < 50ms
Memory usage is still within reasonable limits (< 500MB)
Reconnection mechanism works well

Decision: The team decides to proceed with WebSocket implementation.

Example: Excel Data Export Feature

A CRM application wants to add an Excel data export feature with complex formatting. The developer creates a PoC to test whether the selected Excel library can generate files with the desired format in < 5 seconds for 10,000 rows.

PoC Results: The library successfully creates files with complex formatting and generation time is still acceptable.

Decision: The team decides to use that library.

PoC at Product Level

Example: Blockchain Integration for Transactions

An e-commerce company wants to use blockchain to store immutable transaction records. Before integrating blockchain into the entire system, they create a PoC that only handles one type of transaction.

PoC Results:

Blockchain successfully stores transactions correctly
Time to write to blockchain is still too slow for real-time needs
Blockchain transaction costs are too expensive for small transactions

Decision: The company decides not to use blockchain for all transactions, but only for large transactions that require strong audit trails.

Example: Migration to Cloud Computing

A company with a legacy application wants to migrate their application to the cloud. Before full migration, they create a PoC to test whether the application can run in the cloud and whether performance is adequate.

PoC Results: The application can run in the cloud with some minor modifications, better performance, and lower operational costs.

Decision: The company decides to proceed with migration using a phased migration strategy.

When to Use PoC at Feature Level vs Product Level?

Use PoC at Feature Level when:

You want to add a new feature to an existing application
The feature uses technology or algorithms that haven’t been used before
The feature has high technical risk (performance, compatibility)

Use PoC at Product Level when:

You’re building a new product from scratch
You want to make major architectural changes (e.g., from monolith to microservices)
You want to adopt new technology that will affect the entire system

How PoC is implemented

4. PoC Benefits and Challenges

PoC Benefits

Reducing Uncertainty: PoC provides concrete evidence that the chosen technology or approach can actually work.
Saving Time and Cost: Problems found in the early phase are much cheaper to fix. PoC helps you find problems earlier.
Accelerating Decision Making: PoC provides clear and concrete information, so decisions can be made faster.
Improving Team Communication: PoC clarifies goals and vision for the entire team, avoiding miscommunication.

PoC Challenges

PoC Doesn’t Guarantee Final Product Success: PoC only tests certain parts of the system under controlled conditions. The final product will be much more complex.
Time and Resource Allocation: Although PoC aims to save time and costs, you still need to allocate resources to create it.
Difference between PoC and Actual Product: PoC is often created with simplified assumptions or ideal conditions, so the results may not be accurate for the final product.
Unrealistic Expectations: Stakeholders see a successful PoC and immediately expect the final product to be exactly the same as the PoC.

5. Best Practices for Effective PoC

To maximize PoC benefits, here are some best practices you can follow:

Set Clear Goals

Before creating a PoC, set clear goals. What do you want to prove? What question do you want to answer? With clear goals, you can focus on what’s important.

Example: PoC goal for Excel export feature: “Prove that the Excel library can generate files with complex formatting in < 5 seconds for 10,000 rows.”

Strictly Limit Scope

PoC should focus on one or a few specific things. Don’t try to prove too many things at once, as this will make the PoC too complex and time-consuming.

Use Realistic Data and Conditions

Although PoC can use simplified data, make sure the data and conditions used are still realistic. PoC that uses overly ideal data may not be accurate for the final product.

Document Well

Document all aspects of the PoC: goals, methodology, results, and conclusions. Good documentation will help you and your team understand what has been done and what can be learned from the PoC.

Evaluate Objectively

Evaluate PoC results objectively. Don’t let bias or expectations influence your assessment. If the PoC shows that the technology isn’t suitable, accept the results and look for alternatives.

Conclusion

Proof of Concept (PoC) is a very powerful tool in the Software Development Life Cycle. It helps you reduce risk, save time and costs, and make better decisions. But like all tools, PoC must be used wisely.

PoC is not a guarantee of success, but it is a way to reduce uncertainty and make decisions based on evidence, not just theory or promises. By using PoC effectively, you can avoid the trap of unsuitable technology and ensure that the solution developed truly meets your needs.

Remember: PoC is an upfront investment to save costs later. As the saying goes, “Measure twice, cut once.” PoC is a way to “measure” before “cutting”—ensuring that the chosen technology is truly suitable before investing significant time and resources.

So, the next time you’re faced with new technology or a complex solution—whether it’s for a new feature or a new product—don’t jump straight into full development. Create a PoC first, prove the concept, then proceed to larger development. Trust me, you’ll thank yourself later.