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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 (MVP) Development Guide - ScienceSoft
Minimum Viable Product (MVP) Development Guide - ScienceSoft

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.

  • The delivery of an MVP generally takes from 2 weeks to 7 months, where the development stage specifically lasts from 2-5 days (for no-code/low-code development) to 6 months (for code-based development). 
  • The investments for a launch of a software-based MVP may take from 1/10 to 1/2 - 1/3 of the final software cost.

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.

Check a sample KPI set 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)

Pavel Ilyusenko

A best practice from ScienceSoft’s PMs: Pavel Ilyusenko, Head of PMO, says:

“We recommend 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:

  • A ‘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.
  • A ‘flintstone’ MVP – advertising new software and faking the automation of processes you want it to perform, handling them manually behind-the-scenes.

Peter Manko

Peter Manko, Senior Business Analyst at ScienceSoft, shares his experience:

“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:




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

Since 1989 in end-to-end software development, ScienceSoft knows all ins and outs of successful minimal viable products and has helped hundreds of businesses quickly and cost-efficiently test their software ideas.

MVP development consulting

We help you deliver your MVP as quickly, cost-efficiently and safely as possible. Our team will choose the right functionality, give strategic advice on the techs and architecture, help you comply with regulations, describe the detailed implementation roadmap with schedules, budget and resources for each stage, and more.

I need this!

End-to-end MVP development

Basing on the business, market and tech analysis, we define the best feature set for your MVP. Then, we promptly design, code, integrate with other systems (if needed), test, deploy and monitor the MVP. Our business consultants evaluate MVP performance and plan out further MVP adjustments/evolution.

I need this!

Why Choose ScienceSoft to Deliver Your MVP

  • In software development since 1989.
  • In planning and developing SaaS solutions since 2012.
  • In startup consulting since 2016.
  • Practical experience in over 30 industries, including manufacturing, healthcare, retail, and banking.
  • All needed roles onboard – from BAs and UX experts to QA and DevOps engineers.
  • 2 days – 2 weeks to start.
  • ScienceSoft USA Corporation is listed among The Americas’ Fastest-Growing Companies 2022 by Financial Times.

Project Manager

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

Business Analyst (BA)

– 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 with ScienceSoft


You avoid excessive investments at the start and stay flexible in the future.

Market testing

You get an opportunity to enter the real market and check the viability of your concept.

Minimum time to market

Code-based MVP will be ready for users in ~ 2-6 months, which allows you to roll out your product fast and stay ahead of the competition.

Early feedback

Early user feedback will help you zoom in on necessary product improvements.

Quick idea monetization

The income from MVP can become a solid base for product evolution. Besides, it’s a chance to be noticed by investors.

Access to advanced techs

We can enrich your MVP with AI, VR, data science, IoT, and more.

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.

Core Techs and Architecture Patterns We Employ in MVP Development


Back end programming languages

Front end programming languages



JavaScript frameworks




Databases / data storages


Microsoft SQL Server


Apache NiFi

Real-time data processing

Apache Spark Streaming
Apache Storm
Apache Kafka Streams
Amazon Kinesis
Azure Event Hubs
Azure Stream Analytics

Architecture designs and patterns

Traditional 3-layer architecture

Microservices-based architecture

Cloud-native architecture


Reactive architecture

Service-oriented architecture (SOA)

Various approaches to enterprise application integration

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.

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).

About Sciencesoft

A US-based IT consulting and IT service company, ScienceSoft has been helping startups and enterprises envision and build software since 1989. Being ISO 9001 and ISO 27001-certified, we ensure robust quality and data security management. Contact us if you want to quickly verify your software idea with a high-quality MVP.