What is a POC? (Proof of Concept Guide)

What is a POC? POC is an abbreviation for "Proof of Concept" in English, which means proof of concept in other languages. It is a short and limited-scope test work conducted to demonstrate whether an idea or solution is technically feasible and if its core assumptions are valid. The goal of POC is not "to build a product," but rather to quickly validate risky uncertainties and get a clear answer to the question "will this work?"

In this article, we'll explore what a POC is, how to conduct a POC, the difference between POC and MVP, when to conduct a POC, and step-by-step POC scenarios with examples. When developing an MVP, using the Pareto principle to identify the most impactful features is recommended.

What is a POC (Proof of Concept)?

A POC (Proof of Concept) is a project or product idea that aims to validate:

Technical feasibility (does it work?)
Critical assumptions (is the riskiest part correct?)
Basic integrations (can it connect with other systems?)

through a controlled experiment.

For example, a startup's POC targets the question "can we really do this?" before "will customers buy this?" This is especially true when there are risks around new technology, new integration, regulations, data access, or performance. POC is the fastest risk reduction tool.

What is POC Good For?

The core benefits of POC are:

Reduces uncertainty: Validates the biggest technical risk early.
Saves time and money: Shows "won't work" early before months of development.
Persuades investors and stakeholders: You provide proof instead of just saying "it works."
Clarifies the right roadmap: POC results clarify MVP and product plans.
Supports correct technology choices: Architecture, model, infrastructure, and integration decisions are made with data.

When Should You Conduct a POC?

Conducting a POC makes a lot of sense in the following situations:

When using new/untested technology (AI, computer vision, LLM, IoT, etc.)
When complex integration with third-party systems is needed (ERP, banking APIs, government portals, etc.)
When performance is critical (millisecond latency, high traffic, real-time calculations)
When data access/data quality is uncertain (does the data come, is it clean, is the format compatible?)
When there are regulatory/security constraints (GDPR, health data, payment systems)
When making an internal project decision "buy or build?"

How to Conduct a POC? (Step by Step)

One of the most searched SEO questions is: how to conduct a POC? Here's a practical framework:

1) Clarify the POC objective

POC should have a one-sentence objective:

"Can we take data in format Y from source X, feed it to model Z, and achieve ≥A% accuracy?"

Rule: POC's objective must be measurable.

2) Choose the biggest risk (One Big Risk)

If POC tries to prove everything, it stretches and becomes meaningless. Choose the most critical risk:

Performance?
Model accuracy?
Integration?
Cost?
Security?

3) Define success criteria (Acceptance Criteria)

Example criteria:

Response time < 800 ms
Model accuracy > 90%
API error rate < 1%
Per-transaction cost < $0.02
Stable operation on 1,000 samples

4) Keep scope "minimum" (Scope Cut)

POC typically does NOT include UI/UX, onboarding, payments, analytics, multi-language support, etc. Just:

required data → required processing → result

5) Build a quick prototype

Simple script / notebook / minimal service
Mock data or small real dataset
Minimal integration

6) Test, measure, report

The output of a POC is often not a "demo," but a results report:

What was tested?
What metrics came out?
Where did it get stuck?
Are risks resolved?
Next step: MVP, pivot, or stop?

What's the Difference Between POC and MVP?

These two are often confused. Let's clarify:

POC (Proof of Concept)

Goal: Is it technically feasible?
Scope: Narrow
Users: Usually internal team / stakeholder
Output: Proof + metrics + learning

MVP (Minimum Viable Product)

Goal: Does customer see value / will they buy?
Scope: Minimum product that delivers user value
Users: Real users
Output: Usage, feedback, revenue/retention signal

Summary: POC tests "feasibility," MVP tests "market validation."

POC Examples

Example 1: AI-Powered Invoice Reading

Risk: OCR accuracy and data format
POC: Test field extraction on 200 different invoices
Criteria: ≥95% accuracy on critical fields (amount, tax ID, date)

Example 2: ERP Integration

Risk: API limits and data sync
POC: Data pull-and-write with 1 supplier + 1 warehouse + 1 order flow
Criteria: 24-hour stable sync, error rate <1%

Example 3: High-Traffic System

Risk: Scalability and cost
POC: Load test at 1,000 RPS + infrastructure cost measurement
Criteria: p95 latency < 500 ms, monthly cost within budget

How Long Should a POC Take?

A well-designed POC typically takes:

3–14 days (startup pace)
2–6 weeks (enterprise)

If it's taking longer, usually the problem is: POC is turning into "product development" instead of staying as "proof."

What Decision Comes After POC?

Three types of clear decisions should emerge from POC:

Go: Successful → move to MVP
Iterate: Partially successful → retry with certain improvements
No-Go: Failed → change approach (pivot) or stop project

Frequently Asked Questions

What is a POC document?

A POC document is a brief report containing objective, scope, success criteria, method, results, and next steps.

How to prepare a POC presentation?

One page is enough: Problem → Hypothesis → Experiment → Metrics → Result → Decision.

How is POC cost calculated?

Short-term team time + infrastructure/testing costs + third party service fees (API, model, license).

Conclusion: What is a POC?

POC (Proof of Concept) is a limited-scope test work conducted to quickly prove the technical feasibility of an idea or solution. A well-designed POC prevents months of heading in the wrong direction, closes risks early, and enables a more solid transition to MVP.

If you want to plan a POC strategy, identify technical risk, and quickly prove feasibility; let's talk. Schedule a meeting.

What is a POC (Proof of Concept)? How to Conduct One?