How to Build SaaS in 2025: MVP, Tech Strategy & Costs

14 min read
27 Jun 2024
Updated: 15 Oct 2025

Whether you're a founder validating an idea, a product manager scaling a growing platform, or a CTO mapping technical decisions, building a SaaS product demands clarity on process, priorities, and pitfalls. You need to build something that survives its first year, attracts paying customers, and grows without breaking. Unlike traditional software where you deliver once and move on, developing a SaaS product means you're in it for the long haul: continuous updates, ongoing support, and proving your value every month.

The path from concept to launch is packed with decisions that shape your product's future. Should you start with an MVP or build out more features? Which cloud provider fits your budget? How do you put together a team when money is tight?

This SaaS product development guide walks you through the complete journey — from discovery and MVP scoping to cloud architecture, team structure, and launch. And since it’s build on our experience as a SaaS development company, you'll find practical checklists, real examples, and transparent cost breakdowns. So, if you're figuring out how to build a SaaS product that delivers real value and scales with your business, this is your roadmap — keep reading.

SaaS products developed by Brights

Nova Assure and WindowSeat, SaaS products developed by Brights

See how we’ve turned SaaS ideas into thriving products
Our SaaS projects

Key takeaways

  • Discovery and validation confirm market demand before any coding begins — spending $5,000 on research prevents wasting $100,000 on a product nobody needs.

  • The lean startup approach with an MVP tests your riskiest assumptions in 2–4 months rather than building a full product over a year.

  • Well-structured monolith architecture is faster to build and easier to maintain — microservices add complexity that most early-stage products don't need.

  • Focusing on 2-3 critical user flows that deliver core value and optimizing those relentlessly works better than spreading effort across many features.

  • Continuous iteration post-launch through user feedback, performance measurement against SLOs, and impact-based feature prioritization drives long-term success.

  • The cost of building a SaaS application with a company like Brights starts at around $20,000. For instance, a SaaS MVP with the most essential features might cost around $35,000, while a complex, full-fledged product with advanced features like AI will cost $150,000 or higher.

What is SaaS product development?

SaaS product development involves designing, building, and scaling cloud-based software delivered to customers via subscription. Unlike traditional software that ships once and lives on a user's device, SaaS operates continuously — hosted in the cloud, updated seamlessly, and accessed by multiple customers through a single codebase.

This model introduces distinct considerations that go beyond typical software development:

  • Recurring revenue and retention: Success hinges on customer lifetime value, activation rates, and churn — not just initial adoption.

  • Multi-tenancy and isolation: Your architecture must serve many customers securely from shared infrastructure, while keeping their data completely separate and protected.

  • Service-level agreements (SLAs): Uptime, performance, and data durability become contractual obligations. 

  • Compliance and security: Depending on your market, you'll navigate GDPR, SOC 2, HIPAA, or industry-specific standards — requirements that can significantly influence your technical decisions.

The expected outcome is a living system that evolves based on user feedback, market signals, and operational data. Developing a SaaS product means committing to continuous delivery, proactive monitoring, and iterative improvement long after launch.

SaaS product development process & lifecycle

Building a SaaS product is rarely linear. The process unfolds as a cycle of validation, delivery, measurement, and refinement. Each phase informs the next, creating a feedback loop that keeps your product aligned with market needs. Let's walk through how the core SaaS product development steps connect and what you can expect at each stage.

Discovery & validation

“From my experience, people building their first startup often have a very basic vision of what they want to build. The discovery phase helps them shape the vision, understand what they want, and determine the implementation strategy. For instance, recently, we conducted a discovery phase for our clients only to conclude that the idea wasn't unique and viable. The clients won't proceed with the project, but that's also okay — at least they didn't spend lots of money on a product that wasn't going to work.”

— Nata Shved, Chief Operating Officer at Brights

Before writing a single line of code, you need evidence that the problem you're solving matters to a paying audience. Discovery is where you validate hypotheses, identify pain points, and confirm market demand. Here is what happens during this phase:

  • User interviews and surveys to help you understand your audience's current workflows, frustrations, and willingness to pay;

  • Competitive analysis that allows to map existing solutions, identify gaps in the market, and spot differentiation opportunities around pricing and features;

  • Market sizing for estimating addressable market and growth potential that guide your investment decisions;

  • Problem/solution fit that defines your core value proposition by clarifying what problem you're solving and why it matters more than alternatives.

Early negative feedback during discovery shouldn't discourage you. Instead, treat it as an opportunity to pivot based on research findings and adapt your roadmap to meet market demands more effectively.

SaaS product development process & lifecycle

At Brights, the discovery phase rarely exceeds $5,000 and typically represents 6-12% of SaaS MVP development cost. During this phase, we stress-test concepts and determine whether they're worth exploring further. By the end, you can get a validated problem statement, target audience personas, high-level feature prioritization, and go/no-go decision backed by data.

Validate your SaaS concept before investing in full development Work with Brights to conduct market research, define your audience, and build an MVP roadmap grounded in user needs.

Requirements & planning

Once you've validated the problem, it's time to translate insights into a structured plan. This phase bridges business strategy and technical execution. Key deliverables in this phase include:

  • Product Requirements Document (PRD): Describes features, user flows, acceptance criteria, and prioritization. This becomes the single source of truth for development.

  • Scope definition: Clarifies what's in and out for the initial release. Scope creep is the enemy of fast iteration, so ruthless prioritization matters.

  • Risk assessment: Identifies technical, market, and operational risks early. Consider data privacy requirements, integration complexity, and dependency on third-party services.

  • Timeline and milestones: Maps phases, dependencies, and release targets with realistic buffer for unknowns.

At this stage, your product manager and technical lead collaborate closely to ensure alignment between business goals and engineering constraints. The output isn't just documentation, but also a shared understanding that accelerates decision-making later.

Architecture decisions

How you structure your SaaS platform determines its ability to scale, adapt, and remain stable under load. Early architectural choices have long-term implications. Here are the core decisions you’ll likely face:

Monolith vs. microservices

For most MVPs, we recommend starting with a well-structured monolith. It's faster to build, easier to debug, and requires less DevOps overhead. Microservices introduce complexity that makes sense only when you need independent scaling, team autonomy, or polyglot technology stacks.

Multi-tenancy model

How you handle multiple customers sharing your infrastructure affects everything from performance to cost to security:

  • Shared database, shared schema: Lowest cost, but requires careful row-level security and query optimization.

  • Shared database, separate schemas: Better isolation, moderate complexity.

  • Separate databases per tenant: Maximum isolation and flexibility, higher operational cost.

API design

RESTful APIs remain the default for simplicity and broad compatibility. GraphQL offers query flexibility for complex data needs. gRPC suits high-throughput, low-latency internal services but introduces learning curve.

Security and compliance

Our recommendation here is to bake in encryption (at rest and in transit), identity management (OAuth 2.0, SSO), and audit logging early. Retrofitting compliance after you've built your product is not just expensive — it can fundamentally change your architecture.

Security measures for your SaaS project recommended by Brights

“We've had clients come to us with MVPs that didn't have a proper architecture for scaling. As the product grows, it often can't support more users or new features. We aim to preserve existing work and be mindful of our clients' resources, but sometimes reworking the architecture is unavoidable. Without it, adding new features could take twice as long. In the long run, it's cheaper to prepare the product for future scaling right from the beginning.”

— Nata Shved, Chief Operating Officer at Brights

CI/CD & quality

Shipping fast without breaking things requires automation and visibility. Continuous integration and delivery (CI/CD) pipelines, combined with rigorous testing and observability, form the backbone of reliable SaaS delivery.

Your testing approach should include unit tests to validate individual functions, integration tests to ensure modules work together, end-to-end tests that simulate real user journeys, and load and performance tests to verify system behavior under stress. Each layer catches different types of issues.

CI/CD pipeline: Automating builds, tests, and deployments ensures every commit is validated before reaching production. Use staging environments that mirror production to catch environment-specific issues.

Observability: Logging, metrics, and distributed tracing give you real-time insight into system health. Tools like Datadog, New Relic, or open-source alternatives help you detect anomalies, troubleshoot incidents, and optimize performance.

Zero-downtime deployment: Updating software without interruptions for users. This involves strategies like blue/green deployments, where you create duplicate environments so traffic can seamlessly switch between old and new versions. Cloud providers offer tools to facilitate this, though they often come with additional costs.

How to build a strategy and roadmap for SaaS?

SaaS product development strategy translates your vision into prioritized milestones, aligns teams around shared goals, and provides a framework for measuring progress. So, how do business goals become a roadmap? Here are the steps to follow:

  • Define strategic themes. What business outcomes matter most? Revenue growth, market expansion, retention, operational efficiency?

  • Map initiatives to themes. Break down themes into epics and features that move metrics.

  • Prioritize ruthlessly. Use frameworks like RICE (Reach, Impact, Confidence, Effort) or weighted scoring to rank work.

  • Set release milestones. Group features into logical releases with clear exit criteria.

Roadmap types & milestones

Now-next-later roadmap format balances clarity and flexibility. “Now” items are committed and actively in progress. “Next” items are validated and queued. “Later” items represent strategic bets requiring more research. This approach gives stakeholders visibility without locking you into rigid timelines that become obsolete as you learn.

Release milestones require you to define what success looks like for each release before you start building. For an MVP, this might be “beta users complete onboarding without support intervention.” For a growth phase release, it could be “churn drops below 5% after introducing feature X.”

Measuring progress

An MVP tests whether the product idea is viable and worth investing in, which requires setting and measuring performance indicators. Start with the fundamentals that directly indicate product health:

MetricWhat it measuresWhy it mattersHow to improve
Churn rateRate at which customers stop subscribing within a given periodDirectly impacts growth and profitabilityImprove customer support, enhance features based on feedback, offer retention incentives
Activation ratePercentage of users who complete critical actions shortly after signupLow activation signals onboarding frictionStreamline onboarding flows, provide contextual guidance, ensure quick time-to-value
RetentionMetric that shows whether users come back daily, weekly, or monthlyFoundation of recurring revenueImprove core feature depth, add engagement hooks, send relevant notifications
ARPUAverage revenue generated per user during a specific periodShows monetization efficiencyUpsell higher-tier plans, introduce valuable paid features, optimize pricing

Beyond these quantitative metrics, Net Promoter Score (NPS) measures customer satisfaction and likelihood to recommend. Monthly Recurring Revenue (MRR) and Customer Lifetime Value (CLV) round out your financial health indicators.

Use these metrics to inform roadmap prioritization strategically. If activation is low, invest in onboarding improvements. If retention lags, focus on core feature depth rather than expanding horizontally. Let the data guide where you invest your limited resources.

SaaS MVP development: Scope, UX, and validation

An MVP is the smallest version of the product that delivers real value and tests your riskiest assumptions. The goal is to learn fast, fail cheap, and iterate based on evidence rather than opinions.

We typically recommend choosing the lean startup concept as the project foundation. The core of this approach is the build-measure-learn loop, which means creating and testing a product that your customers actually want. For that, you must start with building a minimal viable product and measuring its performance and feedback.

When working on the MVP, make sure you establish scope discipline:

  • Prioritize ruthlessly: If a feature isn't essential to proving your hypothesis, defer it.

  • Avoid gold-plating: Resist the urge to polish. Ship functional over flawless.

  • Set a time box: MVPs should launch in months, not years.

“It's important to highlight that an MVP can be a well-functioning product; it just doesn't offer anything 'extra,' be it design elements or additional features. Therefore, we always recommend going further after the MVP launch, just because the users have gotten really used to flawless digital products.”

— Nata Shved, Chief Operating Officer at Brights

UX for MVP

SaaS prototype created by Brights

Design for MVPs balances simplicity with effectiveness. You're not building a design system — you're validating user journeys.

Critical paths first: Map the 2–3 flows that deliver core value (e.g., signup → first task completion → invite team member). Optimize these relentlessly. Everything else is noise.

Onboarding: First impressions matter. Guide users to their “aha moment” as quickly as possible. Use progressive disclosure — reveal complexity only as users need it.

Paywalls and conversion: Even in an MVP, design your pricing model into the experience. Test different packaging (freemium, trial, usage-based) to understand willingness to pay.

“A good product is a useful one, so UX is one of the most critical development aspects during MVP development and requires a lot of resources. Firstly, I recommend focusing on whom you're building the product for. Communicate with your users as much as possible, ask them how they satisfy their needs now, and find ways to improve the process. Then you will create a convenient and valuable product, and users will make a habit of using it as early as possible.”

— Maryna Shevchenko, UX specialist at Brights

Prototype and beta

Before full development, build a clickable prototype or limited beta to validate assumptions with real users. Tools like Figma, InVision, or no-code builders let you simulate workflows without writing production code. Use prototypes to test information architecture, navigation, and feature comprehension.

For a beta program, invite a small group of target users to try the MVP and define clear success metrics:

  • Structured feedback combines surveys for quantitative data, interviews for deeper insights, A/B testing to compare versions, in-app feedback forms for immediate responses, and focus groups for discussing specific features.

  • Quick iteration happens through weekly or biweekly sprints to address critical issues and refine core flows.

  • Exit criteria establish thresholds like “80% of beta users complete onboarding without support” or “NPS above 30” that signal readiness for broader launch.

What’s your big idea? Measure your concept’s potential with Brights and develop a winning, data-driven SaaS MVP strategy.

How to choose a tech stack and cloud infrastructure for SaaS?

Your technology choices shape velocity, cost, and operational resilience. The right stack balances speed to market with long-term flexibility, avoiding both the trap of legacy constraints and the lure of bleeding-edge instability.

Backend and frontend choices

Backend technologies to consider:

  • Node.js / Nest.js: JavaScript/TypeScript across the entire stack enables code sharing, fast iteration, and a massive ecosystem. Teams can move quickly, and hiring is straightforward.

  • ASP.NET Core: High performance, mature tooling, and excellent integration with Microsoft Azure make this a strong choice for enterprise SaaS.

  • PHP / Laravel: Laravel provides a batteries-included framework for rapid development with a lower barrier to entry and wide hosting support.

Choose based on team expertise first, then performance requirements, then ecosystem maturity. The best technology is the one your team can build with confidently and maintain sustainably.

Frontend frameworks:

  • React: The most widely adopted framework offers a large ecosystem, extensive component libraries, and straightforward component reusability.

  • Angular: This opinionated framework provides structure that suits enterprise teams who value consistency over flexibility.

  • Vue.js: Lightweight, approachable, and strong for rapid prototyping with a gentler learning curve.

Pair your framework with TypeScript for type safety and long-term maintainability. Use component libraries like Material-UI, Ant Design, or Tailwind CSS to accelerate UI development.

Cloud building blocks

Cloud services offer automatic scaling, load balancing, and security features, on top of being cost-efficient. For SaaS startups, cloud-based solutions ensure your product can handle varying user loads without manual infrastructure management.

Key cloud service categories:

Service typeCommon optionsWhen to useConsiderations
ComputeServerless (AWS Lambda, Azure Functions), Containers (ECS, Kubernetes), VMsServerless for event-driven workloads; containers for microservices; VMs for traditional appsServerless has cold start latency; containers require orchestration expertise
DatabasesPostgreSQL, MySQL (relational), MongoDB, DynamoDB (NoSQL), Snowflake (analytics)Relational for structured data; NoSQL for flexible schemas; analytics for business intelligenceManaged services reduce operational burden but cost more
StorageObject storage (S3, Azure Blob), CDN (CloudFront, Cloudflare)Object storage for files; CDN for static assets and edge deliveryGeographic distribution affects latency and compliance
NetworkingLoad balancers, VPCs, API gateways, DNSRoute traffic securely and efficiently; isolate resourcesProper network architecture prevents security vulnerabilities
CI/CDGitHub Actions, GitLab CI, AWS CodePipeline, Azure DevOpsAutomate testing and deploymentChoose tools that integrate with your existing workflow

We recommend going with a cloud provider that offers a cost-efficient pricing model, high availability with multiple data centers, scalable resources like auto-scaling and load-balancing, strong data redundancy and disaster recovery options, and advanced security measures and compliance certifications (ISO 27001, SOC 2, HIPAA).

Popular cloud service providers include AWS, Google Cloud Platform (GCP), Microsoft Azure, and Heroku. Either one could work depending on your specific requirements.

In-house, outsourcing, or hybrid: Which team & delivery model to pick?

The right SaaS product team structure and delivery model determine whether you ship on time, on budget, and with quality intact. There's no universally correct answer — the best choice depends on your budget, timeline, and how much control you need over development.

Roles & RASCI

SaaS development team structure

To make a SaaS MVP and eventually scale it, you need the right mix of specialists. A SaaS product usually requires:

  • Product manager to define the product vision and roadmap, ensuring alignment with business goals.

  • Project manager to deal with timelines, resources, and team coordination.

  • UI/UX designer to create a SaaS UI/UX design (MVP) that satisfies your audience.

  • Software architects to design the system's structure and make high-level technology decisions.

  • Backend developers to build server-side logic, databases, and APIs.

  • Frontend developers to turn designs into responsive, interactive interfaces.

  • DevOps engineers to manage software development, deployment, and maintenance processes.

  • QA engineers to test the software, ensuring quality and performance.

RASCI clarifies who is Responsible, Accountable, Supports, is Consulted, and stays Informed for each decision and deliverable. Ambiguity in roles kills momentum — when everyone knows their lane, teams move faster.

Outsourcing playbook

Outsourcing can be a great, time- and cost-efficient way to kickstart the project. For instance, Brights can provide each specialist mentioned above, who also have experience in SaaS application development (this type of software is one of our company's main focuses).

Why does outsourcing make sense?

  • Speed to market: You can tap into ready-made expertise without lengthy hiring cycles since an outsourced team often starts within weeks.

  • Cost efficiency: With a team in Eastern Europe, hourly rates vary between $25 and $99. Compared to hiring in North America or Western Europe, this provides substantial savings.

  • Focus: Your internal team concentrates on strategy, go-to-market, and customer success while the development partner handles technical execution.

To make outsourcing work, follow these simple rules:

  • Define clear SLAs: Cover response times, delivery milestones, code quality standards, and communication expectations.

  • Establish communication cadence: Daily standups for tactical alignment, weekly sprint reviews to demo progress, biweekly retrospectives to improve process, and asynchronous updates for transparency.

  • Ownership and documentation: Ensure your partner provides well-documented code, architecture diagrams, and runbooks. You should be able to transition work or bring it in-house without friction.

  • Risk mitigation: Avoid vendor lock-in by owning your infrastructure, repositories, and access credentials. Start with a pilot project before committing to long-term engagement.

Accelerate SaaS development with a trusted partner. Join forces with Brights to reduce time to market and eliminate financial risks by testing your idea with an MVP.

How to get a SaaS product from beta to GA?

Launch isn't the finish line in your SaaS journey. Moving from beta to general availability requires preparation, monitoring, and a plan for rapid response. Use the steps below to get there.

GTM (Go-to-Market) essentials

Positioning: Clarify who your product is for, what problem it solves, and why it's better than alternatives. Your messaging should resonate with your target audience's pain points.

Onboarding: First-time user experience determines activation and retention. Invest in guided tours, tooltips, and progressive onboarding that surfaces value quickly. Track where users drop off and iterate.

Support infrastructure: Set up a knowledge base with self-service documentation, in-app support through chat widgets or help centers, a ticketing system to organize support requests (Zendesk, Intercom, Freshdesk), and community forums or Slack channels where users can help each other.

Pricing and packaging: Finalize your pricing tiers, trial terms, and upgrade paths. Test messaging and pricing elasticity during beta to optimize for conversion and lifetime value.

Post-launch scaling

Service-level objectives (SLOs): Define what “good” looks like for availability, latency, and error rates. Common SLOs include 99.9% uptime, sub-200ms API response times, and <1% error rate. Monitor these continuously.

Incident response: When things break, respond systematically: detect through automated alerts, triage by assigning severity, mitigate by restoring service quickly, resolve by identifying root cause, and learn through blameless postmortems.

Roadmap updates: Once you've fixed existing functionality, implement new features. Use the feedback you gathered to select the most requested features and rank them based on potential impact and implementation effort. Prioritize features that enhance user experience and meet your customers' most urgent needs.

Marketing and growth: Integrating marketing efforts throughout development is essential. Use top marketing channels and develop a strategy to reach a broader audience through social media, email campaigns, online ads, and encouraging your existing user base to spread the word.

Costs and timelines: What drives your budget?

Understanding SaaS development cost drivers helps you estimate accurately, negotiate effectively, and avoid surprises:

  • Team composition and location: Your largest expense is people. Rates vary dramatically by region, expertise, and engagement model (in-house, agency, freelance).

  • Infrastructure: Cloud costs scale with usage. Compute, storage, bandwidth, and managed services all add up. 

  • Integrations: Connecting to third-party services (payment processors, CRMs, analytics platforms) involves licensing fees, API usage costs, and development time.

  • Compliance: Achieving certifications like SOC 2 or HIPAA requires audits, security tooling, documentation, and ongoing monitoring. 

  • Hidden costs: Post-launch maintenance and support, unplanned downtime and incidents, and technical debt from MVP shortcuts all accumulate. Plan for refactoring.

In terms of selecting the team for the job, the optimal option with a good price-quality ratio is outsourcing SaaS development to a company with hourly rates that match your budget. With a partner like Brights, your SaaS app will cost:

  • ≥ $15,000 for a micro SaaS with limited functionalities

  • ≥ $35,000 for an MVP SaaS with the most essential features

  • ≥ $60,000 for a SaaS with comprehensive functionality

  • ≥ $150,000 for a complex SaaS with advanced functionalities

You don’t have to invest all this amount of money into your software development project right away. Start with a discovery phase to see whether the idea is worth it. If it is, you can invest more yourself or go to the investors for additional funding. At that point, you will have all the necessary documentation and a SaaS product development roadmap to convince them to invest in your idea or even explore acquisition opportunities.

How to reduce costs?

First things first, starting with an MVP allows you to validate your concept before committing to full-scale development, saving significant resources. Strategic outsourcing leverages cost-effective regions without sacrificing quality, particularly in areas like Eastern Europe. Managed services reduce DevOps overhead by relying on cloud-native tools that handle infrastructure complexity for you. Avoiding premature optimization means building for today's scale rather than tomorrow's hypothetical load, which prevents over-engineering and wasted effort.

Learn more about what influences the cost of SaaS applications and how to reduce it in our article.

SaaS development with Brights

SaaS platform development is, without a doubt, a complicated journey. We know this firsthand since we specialize in building such solutions.

“If you’re considering building a SaaS application — think twice. And I don’t mean that launching a SaaS product isn’t worth it. I mean, you really have to take your time and think about why you want to do it. What problem do you aim to solve? What is the initial value of your future product? How do you plan to scale in the long run? The tech team will handle the design and development aspects; you don’t have to worry about that. But without the answers to the fundamental strategic questions of “Why” and “How,” you’re going nowhere.”

— Nata Shved, Chief Operating Officer at Brights

Before deciding on anything, we invite you to read SaaS case studies from our clients and explore our services. And if you do decide to build your own SaaS, Brights is here to support you with our expertise. We’ve got a lot of successful projects, with both vertical and horizontal SaaS, under our belt, so you can count on us. 

One of the classic SaaS MVPs our team built is Guided, an app for 24/7 access to consultations from experts and licensed professionals through on-demand video calls, be a tutor, a hairdresser, or a plumber. 

Guided, SaaS application developed by Brights

Guided, SaaS application developed by Brights

We worked on this platform in 2020, when the need for this service in the US was especially relevant due to the pandemic. The Brights team was tasked with creating the design of the application and developing an app MVP from scratch so the client could submit it for investor review.

Since it was an MVP and the deadline was tight, we fit the functionality for service users and specialists into one app, which helped us simplify the development process and make the app versatile. Though there was much more to the platform, all the extra features were postponed for full-fledged development.

Summing up

Building a SaaS product demands strategic thinking. From validating your idea and scoping an MVP to choosing the right architecture, assembling your team, and scaling post-launch, every decision shapes whether your product succeeds or struggles. The key is moving methodically: validate before you build, prioritize ruthlessly, measure what matters, and iterate based on real user feedback.

The Brights team can help you minimize the risk of wasting resources and building a product nobody needs. We start all our new projects with a product ownership approach, taking full responsibility for the tech side of the product. And after building multiple SaaS solutions, chances are, we will know how to deal with the challenges you’re facing.

If you have an idea for a SaaS product, we’d love to hear all about it. Contact us, and our team will arrange a call to discuss your needs and answer any questions you have on how to develop a SaaS product.

FAQ.

The SaaS product development lifecycle is a continuous cycle of discovery and validation, requirements planning, architecture design, development and testing, launch, and post-launch iteration based on user feedback and performance metrics