Outsourcing Services

MVP Development

Launch Plan, Skills, Investments

ScienceSoft has been providing end-to end software development services for startups and enterprises since 1989 and practicing iterative Agile software delivery since 2007.

Software Development for Startups

Minimum Viable Product Development: The Essence

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.

MVP Implementation Steps

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.

Step 1. Discovery and MVP planning

(2 weeks – 1 month)

Business analysis FOR PRODUCTS

  • Product idea generation.
  • Target market, customer, and competitor research.
  • Creating a product concept.
  • Identifying the selling price.
  • Planning a KPI dashboard for MVP.

An informative KPI set can be lean and have, e.g., 3 key groups:

  • Customer acquisition (e.g., the number of signups, the number of downloads, customer acquisition cost).
  • Customer engagement and satisfaction (e.g., CSAT, shares/reactivations/invites).
  • Predicted revenue (e.g., customer lifetime value, predicted monthly recurring revenue).


  • Identification of business needs and business process improvement options.
  • Project stakeholder interviewing and analysis.
  • Software idea conceptualization.

Feature road-mapping

  • Feature outline for the full software version.
  • Feature prioritization for the full software version based on user stories, user scenarios, prioritization techniques (e.g., Kano and MoSCoW), cost-benefit analysis, etc.
  • Deciding on MVP functionality.

MVP architecture design

with attention to:
  • High-level design of the final solution (if the MVP won’t be re-built in the future, but further improved in iterations).
  • Performance requirements.
  • Information security requirements.
  • HIPAA, FDA, PCI DSS compliance (if needed).

Planning MVP integrations

with third-party systems (if needed).

Choosing a technology stack

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.

Step 2. Proof-Of-Concept (optional) and Rapid Prototyping (optional)

(~2 months)

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.

Step 3. MVP Development Project Planning

During this stage, ScienceSoft defines:

  • MVP development project scope.
  • MVP development project deliverables.
  • MVP development budget planning.
  • The PM methodology (most often, one of the Agile options, e.g., extreme programming (XP), Scrum).
  • MVP development project timeline.
  • MVP development project schedule and breakdown into iterations and deliverables.
  • MVP development project risks charter.

Step 4. MVP Development

No-code MVP development
(~1-2 days)

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:

  • ‘landing page’ MVP (for products) – text or video presentation that introduces your idea to a target audience to evaluate the demand via requests or sign-up forms, and also analyze the interest in the features and prioritize the development accordingly.
  • ‘flintstone’ MVP – advertising new software and faking the automation of processes you want it to perform, handling them manually behind-the-scenes.

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.

Code-based MVP development

The types we at ScienceSoft prioritize are:

  • Single-feature MVP – implementing one key feature of future software that creates the core value.
  • ‘Piecemeal’ MVP – creating a product/a custom application version comprising its basic features out of ready-made elements (created by you in the previous projects or available open source). Later, you are likely to update or replace the reused parts.

The development of a software-based MVP with ScienceSoft usually has the following stages:

1. MVP UX design

(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. MVP UI design

(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.

3. MVP coding

(2-6 months)

At ScienceSoft, this stage includes:

  • Back-end development to build the MVP server side and APIs.

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.

  • Front-end development to transform static interface images provided by UI designers into a fully functional MVP client side, and ensure its communication with the server.
  • Testing that runs in parallel with development.

As a result of this phase, ScienceSoft delivers a working MVP and supporting documentation.

Step 5. MVP Launch and Further Iterations

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:

  • Validate or redefine user stories.
  • Identify arising risks and update a risk management plan.
  • Adjust feature/features.

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.

Build the Right MVP with ScienceSoft

With hundreds of successful minimum viable product development projects under our belt, we can help with:

MVP development consulting

Our consultants:

  • Help with your idea conceptualization.
  • Define MVP functionality.
  • Determine MVP tech stack and architecture.
  • Advise on disruptive techs (AI, machine learning, big data, AR/VR, etc.).
  • Help comply with GDPR, and your industry standards and regulations like HIPAA, PCI DSS, FIPS, and COPPA.
  • Deliver a detailed MVP implementation roadmap.

End-to-end MVP development

Our team takes over:

  • Product/enterprise application idea conceptualization and feature management.
  • MVP UX and UI design.
  • MVP development and testing.
  • Integrations with third-party systems.
  • MVP launch and support.
  • MVP performance evaluation and further iterations.

Why Choose ScienceSoft to Deliver Your MVP

Typical Roles in Our MVP Dev Teams

Project manager

– oversees an MVP project, including delivery on time and on budget, preventing feature creep, etc.

Business analysts

– elicits functional and non-functional MVP requirements, technical limitations, defines MVP modules and integrations with other systems.

UX Designer

– performs UX research, designs minimum necessary user interactions with an MVP, and information architecture, conducts usability testing.

UI Designer

– working closely with UX designers, creates aesthetically pleasing, custom visual style of the user-facing MVP interface.

Back-end developers (1-3)

– builds the MVP server side and APIs.

Front-end developer

– creates the MVP client side.

Quality Assurance Engineer (optional)

– 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.

Benefits of MVP Development by ScienceSoft

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.

What Our Customers Say

Start Off with MVP to Go Big

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

Key Sourcing Models for MVP Development

Partial outsourcing of technical resources


  • Optimal resource usage at peak times.
  • Quick access to specific tech knowledge when required.


  • Project team coordination, quick and quality MVP delivery concerns and risk management are on your side.

Outsourced MVP development team with in-house management


  • Fast MVP development project ramp-up.
  • Established communication and processes within the technical team.


  • Project team coordination, quick and quality MVP delivery concerns and risk management are partially or totally on your side.

Full process outsourcing


  • Vendor assumes full responsibility for the team arrangement and management, MVP development process establishment and coordination, quality of the results and related development risk management.


  • Vendor risks are higher.

Our Core Techs and Architecture Patterns



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.

Relational databases / data storages

Relational databases / data storages

Big data

Big data

Machine learning

Machine learning











Test automation tools

Test automation tools



Why We Often Use Cloud Services in MVP Development

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.

Microsoft Azure


Leader in Gartner’s quadrants for Cloud Infrastructure and Platform Services, Full Life Cycle API Management, Enterprise Integration Platform as a Service (EiPaaS).

  • Ready-to-go services for advanced functionality (IoT, AI and machine learning, blockchain).
  • Globally spread Content Delivery Network.
  • Built-in containerization and orchestration tools.
  • CI/CD management tools for automated building, testing and deployment.
  • Scalable serverless data storage.
  • Azure free account allows free access to popular Azure services (including Azure Virtual Machines, Azure SQL Database) for 12 months and access to more than 25 Azure services that are always free (including Azure App Services, Azure DevOps, Azure Machine Learning).



Has been leading Gartner’s quadrant for Cloud Infrastructure and Platform Services for 9 consecutive years.

  • Ready-to-go services for advanced functionality (e.g., AI and ML, blockchain, media broadcasting).
  • Global content delivery.
  • Built-in containerization and orchestration tools.
  • DevOps and CI/CD tools (AWS CodeStar AWS CodePipeline).
  • Scalable serverless data storage.
  • Some AWS services include a perpetual free tier that offers enough capacity to validate MVP.

MVP Development Costs

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:

  • Application type (web, mobile, desktop); number of platforms supported (for mobile).
  • Number and complexity of features.
  • Uniqueness and complexity of design.
  • Number and complexity of integrations with third-party systems (e.g., ERP, accounting software, DMS; one-way or two-way integration).
  • MVP performance, availability, security, latent capacity and scalability requirements.
  • Necessity to maintain existing data (for custom enterprise software MVP in case of migration).

Get MVP Development Costs Estimated

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.