ScienceSoft has been providing end-to end software development services for startups and enterprises since 1989 and practicing iterative Agile software delivery since 2007.
Minimum viable product (MVP) development is a way to verify business assumptions for custom software or test the demand for a new product with minimum investments.
ScienceSoft helps both enterprises and product companies plan and build MVPs and evolve them into successful large-scale software quickly and cost-efficiently.
The number of MVP development steps and their duration will vary depending on the complexity and novelty of software and a type of a minimum viable product.
Below are described the typical steps we at ScienceSoft take to complete MVP development projects.
An informative KPI set can be lean and have, e.g., 3 key groups:
with third-party systems (if needed).
for the optimum MVP development time, costs, efforts, and software reliability. If the MVP is to be further improved in iterations, we also keep the full software version in mind while choosing techs.
ScienceSoft recommends opting for PoC and/or prototypes in case you need to demonstrate the software concept in a sales context, show stakeholders how software will work, or check the technical feasibility of software based on a highly innovative idea.
During this stage, ScienceSoft defines:
Sometimes you can test the demand for a new product or an application’s ability to meet business without actual coding and with minimum possible investments. For this, ScienceSoft uses such MVP types as:
Best practice: If a no-code MVP turns successful, we at ScienceSoft immediately plan a code-based MVP not to get overwhelmed with the processes executed manually (a ‘flintstone’ MVP case) and ensure that our customers are ahead of competitors.
The types we at ScienceSoft prioritize are:
The development of a software-based MVP with ScienceSoft usually has the following stages:
(2-5 days)
Our key deliverables of this stage are user personas and user journeys that help future users fulfill their tasks quickly and easily and drive conversions (for products).
(2-5 days)
At this stage, ScienceSoft creates custom design of user-facing parts (buttons, menus, tabs).
Best practice: We include this stage only if the design is a competitive MVP advantage. Otherwise, we use default themes and focus on the MVP functionality.
(2-6 months)
At ScienceSoft, this stage includes:
Best practice: At ScienceSoft, we actively use many ready-to-use cloud components and services, mostly from AWS and Azure, to minimize MVP development effort and cost and streamline the delivery.
As a result of this phase, ScienceSoft delivers a working MVP and supporting documentation.
We deploy ready-to-use software to the production environment. In case of complex MVPs, we first move them through testing and staging environments so that the team can safely introduce changes or catch remaining mistakes before the release.
After the release, ScienceSoft monitors how users communicate with the MVP. We:
When we see that the MVP gets market validation or shows positive changes in business processes, we either further evolve it or build new software from scratch to cater to the needs and expectations of a growing number of users.
With hundreds of successful minimum viable product development projects under our belt, we can help with:
Our consultants:
Our team takes over:
– oversees an MVP project, including delivery on time and on budget, preventing feature creep, etc.
– elicits functional and non-functional MVP requirements, technical limitations, defines MVP modules and integrations with other systems.
– performs UX research, designs minimum necessary user interactions with an MVP, and information architecture, conducts usability testing.
– working closely with UX designers, creates aesthetically pleasing, custom visual style of the user-facing MVP interface.
– builds the MVP server side and APIs.
– creates the MVP client side.
– designs and implements the test strategy, plans and cases, validates the developed MVP and produces test summary reports.
Additional talents can be required, depending on the nature of the project, for example, we can also involve data scientists, 3D designers, etc.
Clear feature roadmap.
Stable software with sleek UX.
Code-based MVP will be ready for users in ~ 2-6 months.
Experienced practitioners in the areas of AI, VR, data science, IoT, and more.
Additional discounts for AWS and Azure cloud services.
With vertscend, we’ve been able to reduce our development costs and decrease the timeline on new features and updates. vertscend attention to detail in how everything is documented and communicated is by far the best of any agency that I’ve worked with. The communication and agreement process when starting a new project has been by far the easiest to handle and most professional I’ve seen.
vertscend proved to be a professional service provider from the outset. We appreciate their proactive approach and ability to suggest improvements to a prospective solution on both architectural and business levels. We know we can always rely on vertscend various competencies when our clients require quality software which would facilitate their business success.
Over the past 10 years we’ve worked on about ten mobile app development projects with vertscend. It was our first encounter with an outsourcing company. The relationship turned out to be very good, so we saw no need to look for other suppliers.
At ScienceSoft, we have established processes and pre-selected teams with all the tech knowledge and skills to deliver your MVP – from initial design to development and launch – in a speedy and lean mode
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Click on the technology to learn about our capabilities in it.
Click on the technology to learn about our capabilities in it.
Click on the technology to learn about our capabilities in it.
Click on the technology to learn about our capabilities in it.
Cloud services help deliver MVPs quickly, at a low cost, and with a possibility for code re-use in further development. Mostly, we work with two major cloud services providers – Azure and AWS. Here’s how they help with MVP delivery.
DESCRIPTION
Leader in Gartner’s quadrants for Cloud Infrastructure and Platform Services, Full Life Cycle API Management, Enterprise Integration Platform as a Service (EiPaaS).
DESCRIPTION
Has been leading Gartner’s quadrant for Cloud Infrastructure and Platform Services for 9 consecutive years.
The investments for a launch of a software-based MVP vary a lot – from approximately 1/10 to 1/2…1/3 of the final software cost.
Three months of SaaS MVP development by a team of a BA/Consultant, a UI designer, a project manager, 3 developers, a QA engineer, and a DevOps usually cost ~ $105,000+.
The grand total for MVP development depends on a multitude of factors. At ScienceSoft, we consider the most significant cost factors to be:
ScienceSoft can help you estimate MVP development costs so that you are sure to set reasonable budget and not to gamble with stakeholder and user expectations.