Prototype Development Services
Build a clickable or functional test artefact for a specific user, workflow, concept, or feasibility question. RaftLabs defines what the prototype must prove, how it will be tested, and what evidence supports the next decision. A prototype is deliberately not production software, an MVP, or a promise of demand.
Bring the problem, the current workflow, or the existing code. We reply with a practical next step within one business day.
The brief
Good software decisions begin with the constraint, not a list of features or a preferred technology.
Are you about to fund production software before a user, stakeholder, or technical dependency has tested the riskiest assumption?
Is an impressive demo being treated as evidence without a defined question, representative participants, or decision threshold?
Plain answer
Prototype development creates a disposable or limited-life artefact to test one product, workflow, interface, or technical question before production. RaftLabs defines the hypothesis, builds a clickable or functional prototype, tests it with agreed evidence, and records the decision. Clickable prototypes start around $5,000; functional prototypes start around $10,000. Neither is production software.
A polished walkthrough can win agreement without testing comprehension, behaviour, operational fit, or technical feasibility. That is theatre, not evidence. Before building, decide what would make the team proceed, revise, or stop, and who or what can provide credible evidence.
Then build only enough artefact to expose that assumption. Everything else is detail the test does not need.
Engagement facts
RaftLabs has shipped more than 100 software products since 2015, which helps us recognise where test artefacts differ from production systems. That company-wide record does not prove a prototype will create demand, persuade an investor, or predict product success. We report what the chosen method and participants support, plus the limitations that remain.
One user flow, interaction, stakeholder concern, or technical path could materially change whether or what you build.
You can identify representative participants, data, systems, or conditions and agree what evidence would change the decision.
The team accepts that prototype code and infrastructure may be disposable after the test.
The problem, user, and product boundary are broadly uncertain and need product discovery before a targeted test.
You already have validated scope and need production software for real users, real data, and ongoing operations.
You have an existing AI-built or no-code prototype and need an audit-led path to production rather than another test artefact.
The right format follows the uncertainty. Testing whether users understand a navigation model rarely needs backend logic. A clickable screen cannot prove that an integration or model will work. Real customers and sensitive data belong in a service with production controls, not an unsupported prototype.
Decision guide
| Artefact | Use it to test | Do not infer |
|---|---|---|
| Clickable prototype | Concept, content, interaction, navigation, and workflow comprehension | Technical feasibility, security, reliability, or operational readiness |
| Functional prototype or PoC | Bounded logic, integration, model, data, or end-to-end feasibility | Production scale, maintainability, compliance, or market demand |
| Minimum viable product | Value and behaviour with real users in a supported production service | Guaranteed retention, scale, or product-market fit |
| Production hardening | Whether an existing working build can safely support real operation | That every prototype should be preserved or rewritten |
The artefact is only one deliverable. A future reviewer should be able to understand the assumption, who or what was tested, what was simulated, what happened, and why the team made the resulting decision.
Deliverables
Decision and hypothesis
The specific question, current belief, target user or technical condition, available evidence, success and stop signals, decision owner, time limit, and non-goals.
Representative test path
Critical screens, states, content, scenarios, sample data, role or participant context, accessibility needs, and only the branches required to expose the assumption.
Appropriate fidelity
Clickable interface for experience questions, or limited backend, model, device, and integration behaviour for feasibility questions, with simulated and real parts labelled clearly.
Test method and evidence
Recruitment criteria or technical conditions, facilitation guide, tasks, observations, measurements, failures, counter-evidence, limitations, privacy boundaries, and consent for any participant research.
Decision handover
Prototype source, assets, method, findings, unresolved risks, recommendation, and the implications for discovery, production scope, procurement, another test, or stopping.
Name the decision, hypothesis, audience, current evidence, prototype type, fidelity, test method, success and stop signals, constraints, non-goals, owners, and deadline.
Map only the screens, states, data, integration, scenario, accessibility, facilitation, and instrumentation needed to expose the assumption without implying production readiness.
Create the bounded clickable or functional artefact, rehearse the method, observe representative sessions or feasibility cases, capture evidence, and correct test-blocking defects.
Hand over the prototype, source, method, observations, limitations, findings, unresolved risks, and recommendation to proceed, revise, test again, buy, defer, or stop.
Risk
Scope and price
Start with one decision, hypothesis, representative path, appropriate fidelity, test method, evidence, limitations, and a recorded recommendation.
These are indicative starting points, not quotes or guarantees of demand, investment, feasibility, compliance, production readiness, or product success. Scope is fixed after the question and method are agreed.
Starting investment
Starts at $5,000
Functional prototypes start around $10,000. Most focused engagements take 2 to 6 weeks; participant recruitment, several concepts, hardware, AI evaluation, or complex integrations add work.
The prototype is labelled honestly
The evidence remains portable
Product Discovery
Resolve the broader user, problem, workflow, and first-release decision before a targeted prototype.
Prototype to Production
Audit and harden an existing working prototype for real users and operations.
MVP Development
Build a supported production release that creates value and learning with real users.
UX and UI Design
Research and design a broader product experience and interface system.
Prototype development creates a limited artefact to test a specific product, interaction, workflow, or technical assumption before production. The work includes the question, prototype boundary, test method, evidence, limitations, and decision. Its value comes from changing a decision, not from looking like finished software.
A clickable prototype simulates screens, states, and navigation, usually without durable backend behaviour. A functional prototype runs enough real logic, data, or integration to test a bounded workflow or feasibility question. Both omit production security, scale, reliability, operations, and support unless explicitly scoped for the test.
A prototype usually tests an experience or workflow. A proof of concept tests whether a technical approach can work under stated conditions. An MVP is production software used by real users to create value and learning. The labels overlap in casual use, so we define the decision, evidence, and operating boundary before choosing one.
A focused clickable prototype starts around $5,000. A functional prototype starts around $10,000 when it needs limited logic, data, or an integration. Several concepts, external participant recruitment, complex hardware or AI evaluation, high-fidelity content, or production-quality foundations add scope. Final price follows a defined question and method.
The evidence may support production discovery, an MVP, a changed concept, another targeted test, an existing product, deferral, or stopping. You own the prototype and findings. If production is justified, it is scoped separately because a test artefact should not silently become a live system handling real users and data.
Work with us
We will turn it into one testable question, the smallest useful artefact, and a decision threshold.