The Joy of PoCs
Why a small and early proof of concept (PoC) can save you much, much more in the long run.
Written by
Rahul Mehra
CTO
Every product team has a war story. The one where months of development were committed before anyone actually proved the core idea was technically feasible. Where a fundamental flaw surfaced late (too late!) when the cost of stopping had become almost as painful as the cost of continuing.
A well-run Proof of Concept (PoC) is how you avoid that story.
I’ve spent over three decades working on connected product development (set-top boxes, edge AI systems, broadband platforms, industrial inspection solutions), and a consistent pattern holds across all of them.
The teams that invest properly in PoC thinking at the start move faster, spend smarter, and make better decisions throughout the rest of the project. The ones that skip it often pay a much higher price later.
PoC, Prototype, MVP: They Are Not the Same Thing
These three terms get used interchangeably, but they shouldn’t.
The distinctions matter because the cost, in time, money, and risk, scales significantly between each stage. Confusing a PoC with a prototype means over-building something that should be throwaway.
Treating an MVP as a PoC means shipping something with dangerous amounts of technical debt.
PoC (Proof of Concept)
A PoC asks one question: Is this technically possible? Built for engineers and internal stakeholders (typically product and senior executive teams), it will probably look like gaffer tape and string. Its job is to answer that question cheaply, then be thrown away.
Prototype
A Prototype asks: How will this work? It has functional build quality, is shown to executives and wider teams, and is iterated on. You are refining the design, not just proving feasibility.
MVP (Minimum Viable Product)
An MVP asks: Will people actually buy this? It is production-ready (or close to it), shipped to real customers, and designed to generate revenue or a meaningful market signal.
Why PoCs Earn Their Keep
The obvious answer is risk mitigation. In short: a PoC is both a cold technical calculation and a communication tool.
Failing fast is a feature, not a failure.
Discovering that something doesn’t work at PoC stage, before a prototype budget is committed, before a supply chain is engaged, before three engineers have spent a quarter building on a flawed foundation, is one of the best outcomes you can get. The PoC did its job. It saved you.
PoCs uncover the unknown unknowns.
In connected product development, there is almost always something you did not know you did not know: an integration constraint, a hardware limitation, a licensing restriction, or a latency problem that only appears at the system level. The PoC is the cheapest place to find those things.
Seeing is believing for non-engineers.
A working demo, however rough, communicates what a slide deck cannot. If you need executive buy-in for a product direction or need to bring product and UX colleagues into the technical reality early, a functioning (if ugly) PoC does that work far more effectively than a specification document.
PoCs gate budget and de-risk procurement decisions.
A successful PoC is often the evidence a business needs to release meaningful development funding. It also helps you identify key suppliers, establish component pricing, and make informed estimates on non-recurring engineering costs before you have committed to anything.
How to Run a PoC Well
The approach matters as much as the decision to run one.
Start by defining the question precisely. What are the things that absolutely must work for this to become a real product? What systems does it need to integrate with? What can you build on – internal platforms, open-source components, reference hardware, existing code? Write the story of what success looks like before a single line of code is written.
Then adopt a deliberately quick-and-dirty philosophy. Keep the team small and skilled. Use what exists: reference platforms, open-source software, off-the-shelf hardware, even 3D-printed enclosures if that gets you to the answer faster. The goal is signal, not polish.
As the PoC progresses, identify and resolve “unknown unknowns” as mini-spikes – focused, time-boxed investigations into specific high-risk areas – before they have the chance to derail the broader effort.
And know when to stop. A PoC is done when the question is answered. Not when it is beautiful. Not when it is complete. When the question is answered. Create whatever collateral is needed to bridge the gap between what you have proved and what stakeholders need to understand, then move to the next stage, or stop entirely.
What Happens After a PoC
This is where it gets interesting, because the outcome is rarely just “proceed” or “stop.”
In practice, a PoC can lead to several different places:
Hard Stop
The answer is no. This is the “fail fast” success. You stopped the bleeding before it became expensive. Genuinely celebrate this outcome.
Hibernation
Right idea, wrong time. The technology works, but market conditions, component costs, or business priorities aren’t aligned. Preserve the IP and revisit later.
Frankenstein (Harvest)
The overall concept did not prove out, but specific sub-modules (code, circuits, algorithms) have real value for other products. Strip the good parts and move on.
Further PoC Refinement
Known unknowns remain in a specific high-risk area. You need more data before committing. Run a targeted follow-on spike.
Prototype
The technology is proven. Now you are betting on ergonomics, user fit, and the broader experience. Increase investment deliberately.
Full Development
The point of no return. Full engineering, testing, and manufacturing resources committed. Do not arrive here without having genuinely earned it.
Accidental Product
The danger zone. A PoC ships because it impressed someone or time ran short. Technical debt and fragile architecture follow. I have seen this go badly. Resist the temptation.
PoC Pitfalls Worth Watching For
A few patterns consistently cause PoCs to fail or mislead:
The Permanent PoC
Closely related to the Accidental Product. The messy development board that was never meant to leave the lab somehow ends up as the reference architecture for a real product. Technical debt compounds from day one.
Scope creep
Trying to prove too much in a single PoC. If you find yourself adding features “just to show what’s possible,” you have lost the plot. Define the question. Answer the question. Stop.
Ignoring important edge cases
PoCs are allowed to sidestep edge cases in the early stages, which is part of the “quick and dirty” philosophy. But at some point, unresolved edge cases stop being deferred problems and start becoming hidden risks. Know the difference.
A Closing Thought
The skills that make someone good at developing PoCs (commercial awareness alongside technical depth, the ability to make something “real enough” without over-engineering it, comfort with ambiguity and fast iteration) are the same skills that make someone effective at every stage of product development.
If you are building connected products, build PoC thinking into your process from the start. Not as a bureaucratic gate, but as a genuine discipline for answering the hardest questions cheaply, early, and honestly.
The best outcome of a PoC is not always a green light. Sometimes it is a well-evidenced stop. Both are worth having.
The cheapest time to find a flaw is at the start.
Talk to our connected product engineers about running a PoC.
Some images on this page are AI-generated and used for illustrative purposes.
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