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description=From idea to prototype in 1 day to 1 week. Start with a brief workshop and get a professional prototype that validates your concept fast.;

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s based on evidence not gut feeling engage stakeholders and users find it easier to contribute when they can experience the product everyone literally sees the same things discussions become concrete flow a or b variant x or y that speeds up governance prevents noise and aligns teams compliance included iterate prototype development is not a one off sprint it is a rhythm learn quickly adjust sharply test again teams that embrace this rhythm demonstrably have less rework later and move towards mvp with greater confidence the essence of prototype development the essence of working with prototypes is simple surface uncertainties when they are still cheap you combine vision with evidence design with data and make trade offs visible this not only creates buy in but also a clear roadmap that aligns with reality what you really want to achieve clear decisions based on behaviour not assumptions a clickable story that investors and teams understand a practical bridge to realisation without lock in evidence over assumptions the best feedback comes from behaviour clicking swiping scrolling that is why we test realistic journeys not loose screens subtle copy micro animations empty states it all adds up where teams often get stuck too much scope in one go too little real data slick demos that hide edge cases in practice too perfect is misleading better an honest prototype that shows friction than a shiny tale that hides errors the pragmatic route forward we start small make scenarios concrete and reveal choices with variants next we test purposefully measure friction points and translate insights into a feasible first release small workshop as jump starter prototype live within one day to a week ai supported flows for speed and consistency testing with real tasks not vague questions clear next steps towards mvp and trl level contact us how do you navigate this new prototype reality theory is fascinating but the value lies in translating it into practice here is a step by step approach to implement the insights without choking on complexity step 1 kick off workshop we begin with a compact energetic session in which we clarify goals select primary flows and make critical assumptions explicit think who is the user which tasks truly matter where are the biggest risks we choose a maximum of two scenarios for focus too much scope is the enemy of speed often we sketch wireframes live draw variants and make firm choices about copy data and edge cases the result is a prototype that is not pretty but primarily fit for learning step 2 prototype sprint we build a clickable realistic prototype including states error messages and micro interactions ai accelerates here generating component variants copy as a service synthetic yet relevant data samples we employ design systems to guarantee consistency while leaving room to experiment and importantly we also show non ideal paths what happens with empty lists time outs incorrect input those paths often deliver the real gold step 3 test and learn no perfunctory round of what do you think but tangible tasks register x change y complete z we observe time and note behaviour patterns then we cluster findings by impact and effort sub steps a define success criteria per task b involve 5 8 testers c analyse together d decide what you fix now and what can wait step 4 technical feasibility and trl fit we align the prototype outcome with your technical strategy which integrations are critical what does this mean for security and privacy by design and where are you on the trl scale in trl 4 6 you validate prototypes step by step from lab scale to relevant environment to demonstration in a test setting step 5 towards mvp without lock in we translate insights into a concise mvp roadmap which features are essential which can wait which are dropped we capture design decisions in components and guidelines so further development is not a reset and because the prototype is not a code base you can later choose the most suitable tech stack providing peace of mind shall we make your idea tangible book a short workshop and experience how a clickable prototype delivered within one day to a week sharpens your course no pushy sales just a joint look at where the most value lies and making that visible fast with the quickest ai development methods if it clicks we carry on building if not you still gain clarity contact us prototyping is daring to make choices those who try to prove everything at once often prove nothing prototype development is about naming uncertainties and eliminating them systematically sometimes with a rough flow sometimes with pixel perfect screens it is like chess not every piece must move at once but every move must be deliberate why you should experience first and build later experience reveals friction that documents hide real interaction sharpens copy and order buy in grows faster around something tangible than around a memo proof of concept versus prototype a proof of concept poc demonstrates technical feasibility can it be done does the technology work is the integration possible a prototype simulates the user experience this is how it feels how you navigate these are the states both are valuable but answer different questions in trl terms a poc is usually around trl 3 while prototypes move towards trl 4 6 first in lab scale then in relevant and test environments the power of variants what happens if you shorten the call to action what if you place filter options below the search bar rather than above it by prototyping and testing two variants you see the effect without endless debate realistic data realistic reactions a prototype with domain specific language and believable datasets synthetic if necessary triggers better feedback contact us how to build a prototype that works the pitfall is well known too slick too polished not real enough a working prototype feels authentic edge cases included practical guidelines for immediate results limit scope without being naïve choose two primary tasks and work them out in depth including entry and exit make interaction tangible clickable means more than linking screens add micro interactions let ai boost speed and quality generate component variants to accelerate design choices use ai for first drafts of micro copy synthetic test data that mimics patterns rapid flow sketches from user stories test like a researcher not a presenter observe note time behaviour beats opinions contact us looking ahead prototypes are getting smarter the line between design and build is blurring ai design systems and trl driven development paths mean prototypes are not only created faster but also predict more accurately how the final solution will perform generative flows based on goals from goal to automatically suggested screen flows synthetic everything synthetic data and scenarios let you safely simulate complex behaviour bridge to implementation without lock in prototypes remain code free yet generate artefacts that support your build team contact us a deal is a deal yield inc is a new asset manager in the netherlands that focuses on excellent customer experience sustainability and technology when faced with the question of whether to develop our platform in house or with a partner we got in touch with spartner we are still 100 behind the choice for spartner because we own the source code and with spartner a deal really is a deal whether it concerns the delivery date or the agreed budget hans lugtenberg partner at yield inc a professional software partner since 2010 spartner is involved and contributes in our search for innovations and always delivers top notch work after the first huurda nl version got out dated we collaboratively launched a completely new version in 2020 custom built search engine for rental properties norbert wegter owner of 123wonen and expat homes holland doijer kalff after transferring our d k portal to spartner we have elevated the further development and continuity to a higher level although the d k platform was originally developed internally our technical expert can now focus on other innovations within doijer kalff spartner provides the quality we need without excessive costs they have seamlessly taken over the care of our portal allowing us to benefit from a flexible capacity that perfectly aligns with our future plans and innovation goals reinier van bergen managing director at doijer kalff pragmatic and flexible collaboration spartner has created a customized portal for us for the accountability of large scale collaborative projects this enables us and our partners to execute and account for their plans in a shared environment that is secure transparent and manageable the pragmatic and flexible collaboration with spartner has ensured that we have quickly achieved a functional and user friendly environment jurjen terpstra managing partner at wecreate consulting ai and machine learning as legal tools in 2020 we transferred the development of lynn to spartner as a result of their fast development process the lynn platform achieves an increasingly central role in the legal world lynn the smart ai legal robot marco caspers software development manager at lynn legal as a business you must dare to move forward innovation and change are not always welcomed with equal enthusiasm by our employees man is a creature of habit but as a company you have to dare to move forward and the need for a contemporary drawing program for the realization of various constructions with our masterbloc bricks was high for us but also for spartner this challenge was a bit of pioneering and together we had to overcome some hurdles to arrive at a beautiful and efficient business tool a development and learning process for both parties in which the feedback of questions and desired adjustments by our employees to spartner was always in good consultation and we could count on quick feedback and targeted solutions we continue to exchange experiences with spartner and look back and forward to a successful collaboration powerful 3d construction drawing software bjorn gubbels owner of masterbloc spartner extends our capabilities and development capacity with weekly calls using our azure devops sprint system spartner actively works together with our innovation communication and software development departments multi website cms with statamic 3 marco leenders head of automation flexible collaboration with yearly updates the projectteam of the city of groningen is very enthusiastic about the roomfinder platform real estate management software for student rooms gemeente groningen projectteam have been using laravel excel for years we requested custom help to a performance challenge we had in our implementation of laravel excel i was amazed how quickly these laravel artisans achieved significant performance gains which saved us a lot of development time open source package for laravel josh mountain co founder at incentivepilot com higher occupancy rate thanks to our user friendly platform throughout the great years that we cooperate with spartner previously maatwebsite ed our software has been developed continuously students and landlords actively work with features like allocation payments chat contract generation and more custom built erp for all student residences maurice evers head of student housing department innovating in the digital identification network of the netherlands and europe the pro active approach of spartner was crucial in understanding the complexity of the eherkenning network development of eherkenning connection and services maarten bremer cto founder ensured innovation in legal technology as jurists with knowledge of it we highly value quality within code but also in process the high work level and trustworthiness of spartner gives us the capacity to continuously create innovative features legal tech platform niels winters managing director juriblox frequently asked questions practical answers to the questions we hear most often schedule a call what is the difference between a prototype and an mvp a prototype is designed for learning and decision making fast inexpensive and without code you simulate the experience navigation states copy an mvp is the first working product that delivers real value in production prototyping helps you decide sharply what belongs in the mvp and what does not how quickly can we have a professional prototype ️ we start with a brief workshop and within one day to a week deliver a professional prototype do we need a fully fledged design already no in fact it is often better still to have outstanding questions do you also test with real users yes but real means tasks that match your domain with realistic synthetic if necessary data what if stakeholders cannot agree by letting them experience variants you shift the debate from opinions to behaviour does this fit our governance and security requirements absolutely prototypes run on secure tooling and use anonymised data how does this relate to trl levels proof of concept and prototypes are key in trl 3 6 does prototyping work for complex b2b processes ️ precisely there complexity often lies in exceptions which tools do you use ️ we choose tooling that suits the context what happens after the prototype we translate insights into a clear mvp roadmap schedule a call linkedin medium twitter facebook feel like a cup of coffee whether you have a new idea or an existing system that needs attention we are happy to have a conversation with you call email or message us on whatsapp bart schreurs business development manager 06 54671577 bart spartner nl ai platform ai blog creation ai manages social media ai chatbot customer support ai chatbot for hr questions ai document automation automate with our ai platform ai website automation ai service desk automation ai chatbot ai lead checker services software development business app development custom erp software prototype development laravel 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