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.
Minimum Viable Product Development: The Essence
Minimum viable product (MVP) development is building a software version with core features and minimalist design, using basic infrastructure. Deploying an MVP, you verify business assumptions for custom software and test the demand for a new product, with minimum investments.
Minimum Viable Product Implementation Plan
The number of MVP development steps and their duration will vary depending on the complexity and novelty of a solution, as well as a minimum viable product type. Below are the typical MVP development steps.
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.
Business analysis FOR CUSTOM ENTERPRISE SOFTWARE
- 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 and efforts, software reliability (if the MVP is to stay and be further improved in iterations, the full software version should be kept in mind in the course of all considerations).
Step 2. Proof-Of-Concept (optional) and Rapid Prototyping (optional)
(~2 month)
To demonstrate the software concept in a sales context, give an understanding of how the software will work to stakeholders, or check technical feasibility of software based on a highly innovative idea.
Step 3. MVP Development Project Planning
The main focus areas are:
- MVP development project scope.
- MVP development project deliverables.
- MVP development budget planning.
- The PM methodology (most often, one of the Agile options – Scrum, extreme programming (XP), etc.).
- 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)
The demand for a new product or an application’s ability to meet business needs can be first tested without actual coding and with minimum possible investments. Your MVP can be:
- 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.
Note: If a no-code MVP turns successful, plan a code-based MVP soon enough to be ahead of competitors and not get overwhelmed with the processes executed manually (a ‘flintstone’ MVP case).
Code-based MVP development
The types we recommend considering 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 has the following stages:
1
MVP UX design
(2-5 days)
Key deliverables of this stage are user personas and user journeys helping future customers fulfil their tasks quickly and easily, and drive conversions (for products).
2
MVP UI design
(2-5 days)
At this stage, custom design of user-facing parts (buttons, menus, tabs) is created.
Note: the stage is reasonable only if design is a competitive advantage, otherwise it’s better to use default themes and focus on the MVP functionality.
3
MVP coding
(2-6 months)
- Back-end development to build the MVP server side and APIs.
- 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 runs in parallel with development.
The result of this phase is a working MVP and supporting documentation.
Note: Popular clouds like AWS and Azure offer many ready-to-use components and services to minimize development effort.
Step 5. MVP Launch and Further Iterations
Software gets deployed to the production environment ready for use. Complex MVPs can be first moved through testing and staging environments so that the team could safely introduce changes or catch remaining mistakes before releasing software.
Monitoring how users communicate with the MVP, the project team:
- Validates or redefines user stories.
- Identifies arising risks and updates a risk management plan
- Adjusts feature/features.
If the MVP gets market validation or shows positive changes in business processes, it can be completely rebuilt or further improved to cater for the needs and expectations of a growing number of users.
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, you may need to draw on the skills of data scientists, 3D designers, etc.
All in-house
Pros:
- Direct supervision over the MVP development process and team productivity.
Cons:
- High costs.
- No quick access to specific competencies.
- Prolonged MVP project start (if you don’t have a development department yet).
- All hiring and managerial efforts are on your side.
Partial outsourcing of technical resources
Pros:
- Optimal resource usage at peak times.
- Quick access to specific tech knowledge when required.
Cons:
- Project team coordination, quick and quality MVP delivery concerns and risk management are on your side.
Full outsourcing of technical resources
Pros:
- Fast MVP development project ramp-up.
- Established communication and processes within the technical team.
Cons:
- Project team coordination, quick and quality MVP delivery concerns and risk management are partially or totally on your side.
Full process outsourcing
Pros:
- 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.
Cons:
- Vendor risks are higher.
Technologies We Recommend for MVP Development
ScienceSoft recommends considering popular clouds (Azure, AWS) to quickly lay the foundation for a modern cloud-native application able to take advantage of the cloud elasticity and scalability and multiple ready-to-use cloud services (messaging, service discovery, AI, AR/VR, IoT, data science, and more) offered by cloud providers.
Microsoft Azure
Description
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).
Pricing
AWS
Description
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.
Pricing
Power BI Embedded
Description
Power BI is a leader in Gartner’s Magic Quadrant for Analytics and Business Intelligence Platforms. With Power BI Embedded you can:
- Easily embed reports and dashboards into an application.
- Start quickly with an extensive library of data connectors, fully documented APIs and SDKs.
Pricing (with Azure nodes):
Pay-as-you-go pricing model: from $1.0081/hour to $32.2506/hour depending on the node type chosen and the number of nodes deployed.
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. |
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The grand total for MVP development depends on a multitude of factors:
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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.
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.