You have an idea for a new smoothie flavor—peanut butter and pickle. Before you start bottling it and selling it at every café in town, you have two options. You could blend a small sample to see if the combination even works (Proof of Concept). Or, you could create a basic version of the smoothie, add a label, and hand it out to a few brave customers to gauge their reaction (Minimum Viable Product).
Choosing between a PoC and an MVP is like deciding how much risk you’re willing to take before serving up your idea. Let’s break it down and help you decide.
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What is a PoC?
A PoC is a test run to validate the feasibility of an AI idea or concept. It’s like a sneak peek into whether your AI solution can work as intended.
As per the above scenario, a PoC is like a tiny taste test—focused on ensuring the flavor (or concept) is technically possible before you invest in the full recipe.
Focus — Technical feasibility
Purpose — Proving that the AI model, algorithm, or process works
Time & Cost — Quick and relatively inexpensive
When to Choose a PoC?
- Exploring Novel Ideas – When you’re experimenting with untested AI concepts.
- Testing Feasibility – To verify if your AI technology can solve a specific problem.
- Gaining Stakeholder – Showcasing potential value without building a full solution.
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What is an MVP?
An MVP is a functional product with core features that address user needs. It’s your AI solution’s debut in the real world.
As per the above scenario, an MVP is like rolling out a small batch of your smoothie and asking, “Would you buy this?” It’s not perfect, but it’s functional and good enough to gather feedback.
Focus – User experience and market validation
Purpose – Gathering feedback to improve and scale the product
Time & Cost – More investment compared to PoC
When to Choose an MVP?
- Targeting Early Adopters – To understand how users interact with your AI solution.
- Validating Market Fit – To assess if there’s demand for your AI product.
- Securing Investments – Demonstrating your product’s value to investors.
PoC vs. MVP
Objective: PoC tests feasibility, MVP tests usability.
Scale: PoC is a prototype, and MVP is a deployable product.
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Making the Right Choice
If you’re still blending ideas, go for a PoC. If you’re ready to serve it up and get feedback, choose an MVP. Each has its role in turning your AI dream into a reality.
At ColorWhistle, we specialize in crafting both PoCs and MVPs for businesses across industries. Whether you need a quick test or a functional product to hit the market, we’ll make it happen.
Let’s blend the perfect AI solution for you! Contact us today.
-Varsha,
Content Marketing Team.