Understanding the lifecycle helps teams plan resources, make development decisions, assess risks, and build a strategy. This is reflected in established models such as SDLC (Software Development Life Cycle), which are described in detail in the international standard ISO/IEC/IEEE 12207:2017 that structures software lifecycle processes.
Stages of the IT product lifecycle
Each stage calls for its own approach to management, metrics and priorities. Understanding what is specific to each stage helps the team make the right decisions and allocate resources effectively.
1. Development
A product starts with an idea. The team researches the market, formulates hypotheses and builds the first version of the solution.
What happens:
- the team studies the target audience, analyzes competitors and looks for unmet needs;
- the product's value proposition is defined: what problem it solves, for whom, and how it differs from existing solutions;
- an MVP with basic features is developed. For example, a CRM system might start with only customer records and a sales pipeline;
- the product is shown to the first users and feedback is collected.
Management specifics: the team works in experiment mode. The priority is speed and flexibility. The budget is limited, so the focus is on the essential functionality.
Typical metrics: the number of customer interviews conducted, release velocity, and the percentage of users who come back after first use.
Main risk: building a product that nobody needs.
2. Market entry
The product launches and becomes available to the target audience. The first sales begin, and the team actively works on attracting early users.
What happens:
- marketing campaigns are launched to build product awareness;
- the sales team actively looks for the first paying customers;
- feedback is collected from early users, whose opinion is critical for refining the product;
- the team quickly fixes critical gaps and adapts the product to real market demand;
- an understanding forms of who the real target audience is and how to work with it most effectively.
Management specifics: high marketing costs with low revenue. The product does not yet make a profit but requires investment in promotion and in supporting the first customers.
Typical metrics: the number of paying customers, trial-to-paid conversion, customer acquisition cost, early adopter retention.
Main risk: underinvesting in marketing and sales at launch can mean the market simply never hears about the product.
3. Growth
The product has proven its value, demand is growing, and active scaling begins. The team brings in new customers, expands functionality and increases market share.
What happens:
- the number of paying customers grows quickly and brand awareness increases;
- revenue grows fast, often by double or even triple digits year over year;
- the team adds new capabilities based on customer requests and competitive analysis;
- the company invests in infrastructure to handle the growing load;
- new developers, product managers and support specialists are actively hired.
Management specifics: significant investment is required. The company balances the speed of shipping new features against product quality. It is important not to lose focus or spread too thin across too many directions.
Typical metrics: revenue growth rate, customer acquisition cost (CAC), Customer Lifetime Value (LTV), user base growth rate, NPS.
Typical risks: adding too many features, and underinvesting in infrastructure, which leads to outages as load grows.
4. Maturity
The product has taken its niche in the market. Growth slows, but its position is stable. Most potential customers already know about the product and have made their choice. The focus shifts from capturing the market to retaining customers and optimizing profit.
What happens:
- revenue grows more slowly or plateaus;
- competition peaks, with several established players in the market;
- the company looks for ways to cut costs without losing quality;
- the priority is keeping current customers. Loyalty programs are launched and service is improved;
- instead of large-scale updates, the team makes targeted improvements to existing functionality.
Management specifics: the team works in a predictable mode with clear processes. Decisions are based on data rather than hypotheses. Most revenue comes from existing customers rather than new sales.
Typical metrics: retention rate, customer lifetime value (LTV), margin, Net Revenue Retention (NRR).
Typical risks: losing the ability to innovate, cutting costs at the expense of quality, and losing touch with market changes.
5. Decline
The product loses relevance. Demand falls, and customers leave for competitors with newer solutions or technologies. The company decides what to do with the product next.
What happens:
- demand drops and new sales nearly stop;
- existing customers do not renew contracts or look for alternatives;
- the technology becomes outdated: the product is built on an old stack that is hard to maintain;
- relative operating costs rise: revenue falls while support costs remain;
- the best team members move to more promising projects.
Management specifics: the company defines its strategy: gradually sunset the product, transform it into a new solution, or sell it to another player. Investment in development is minimal, and the focus is on keeping the product running for the remaining customers.
Typical metrics: churn rate, the ratio of support costs to revenue, the number of critical incidents.
Typical risks: shutting down too abruptly damages the company's reputation. Delaying the decision to shut down turns the product into loss-making dead weight.
Two exit scenarios:
Shutting down the product:
- the company notifies customers well in advance (6–12 months) that support will end;
- offers help migrating to alternative solutions;
- fulfills all contractual obligations;
- arranges data export and the handover of documentation.
Transforming the product:
- the product is completely rebuilt on new technologies while keeping its core idea;
- the positioning changes: the product enters a new market segment or targets a different audience;
- the product is integrated into a larger ecosystem or combined with the company's other solutions.
Transformation example: a company sold an on-premise document management system. Demand fell as customers moved to cloud solutions. The team rewrote the system as a SaaS platform, added mobile apps and integrations with widely used services. Existing customers were offered migration with a 50% discount for the first year. Two years later, the updated product returned to its previous revenue level with a new customer base.
Managing the IT product lifecycle: models and roles
The choice of management model depends on the lifecycle stage, the nature of the product and how fast the market changes. Companies often combine several approaches: Agile to develop new features, DevOps for stable releases, and Lean to test hypotheses on a minimal budget.
Management models
Agile
An iterative approach with short cycles: sprints of 1–4 weeks.
The team ships small updates, gets feedback and adjusts its plans. It suits products whose requirements change and whose market demands a fast response.
Lean
A focus on minimizing waste and maximizing customer value. The team builds only the functionality users really need. It works well at launch, when hypotheses need to be tested quickly at minimal cost.
DevOps
Development and operations are combined into a single process. The team automates deployment, testing and monitoring, which makes it possible to release updates more often and with fewer errors. It is critical for products in the growth and maturity stages, when stability matters despite frequent releases.
Continuous Discovery
The team talks to customers constantly, tests hypotheses and collects data.
Every week it interviews users, analyzes metrics and runs A/B tests. The approach helps the team stay connected to the market as the product matures.
Roles in lifecycle management
Product Owner
Responsible for the product's strategy and development priorities. Decides which functionality to build first, which to postpone and which to drop. At launch, works closely with the first customers; during growth, balances requests from different audience segments; at maturity, focuses on customer retention.
Scrum Master (Delivery Manager)
Coordinates the team's work and tracks progress against plans. Organizes sprints, runs retrospectives and removes blockers that slow development down.
Technical Lead
Makes architecture decisions, chooses the technology stack and oversees code quality. At the start, lays the technical foundation that will let the product grow. During scaling, solves performance problems and manages technical debt.
DevOps engineer
Automates deployment, sets up monitoring and keeps the infrastructure stable. Works at the intersection of development and operations. The role becomes critical as the product grows, to keep release velocity up.
Customer Success Manager
Helps customers get the most value from the product. Runs onboarding, trains users and collects feedback. The role becomes essential at maturity, when retaining customers matters more than acquiring new ones.
Data Analyst
Collects metrics, builds dashboards and helps the team make data-driven decisions. Analyzes user behavior, feature performance and the reasons customers churn.
At the start, the product team is usually small: 3–7 people who each cover several roles. During growth, the team specializes and separate roles appear for each functional area. At maturity, the structure becomes even more granular, with dozens of specialized roles.
IT product lifecycle management tools
The choice of tools depends on the product's lifecycle stage, the specifics of the market and the team's goals. In practice, companies often combine several tools and adapt them to their needs.
Task and project management tools
Agile task trackers are systems for task management in Agile teams. They let teams plan sprints, track progress and manage the backlog. They are a good fit for products in the growth stage, when the team gets bigger and processes need to be transparent.
Lightweight work management tools are simpler project management tools. They suit small teams at the start of a product.
All-in-one DevOps platforms combine task management, version control, CI/CD, and testing in a single platform.
Development and version control tools
Git (GitHub, GitLab, Bitbucket) is a version control system for managing code. Developers work in separate branches and review code through pull requests. It is critical at every stage of the lifecycle.
CI/CD tools
Jenkins is an open-source platform for automating builds, testing and deployment. It suits teams that need flexible configuration.
GitLab CI/CD is a built-in automation system. Its advantage is that the code and the pipeline live in one place.
GitHub Actions lets teams automate not only CI/CD but other processes as well.
Monitoring and analytics tools
Prometheus + Grafana is a pair of tools for monitoring technical metrics. Prometheus collects data on performance, load and errors. Grafana visualizes the data as dashboards. Critical in the growth and maturity stages.
Sentry is a system for tracking errors in applications. Developers get notifications and see the detailed context of each problem.
Amplitude / Mixpanel are tools for analyzing user behavior. The team sees which functionality is used most, where users get stuck and on which screen they leave the application.
Infrastructure management tools
Docker is a platform for containerizing applications. A developer packages an application with all its dependencies into a container that runs the same way on any server.
Kubernetes is a container orchestration system. It manages startup, scaling and monitoring. Products need it in the growth stage, when the infrastructure becomes complex.
Terraform is a tool for describing infrastructure as code. Instead of configuring servers by hand, the team describes the required configuration in a file.
Customer-facing tools
Customer support platforms are used to communicate with customers. They combine website chat, email support and a knowledge base.
Hotjar is a tool for analyzing user behavior on a website. It records sessions, builds click heatmaps and collects feedback through surveys.
SDLC systems
SimpleOne SDLC is a platform for managing the full product development cycle.
It brings product portfolio and backlog management, Scrum and Kanban boards, version control integration, release management, and reports together in one system. It suits companies that need end-to-end visibility of the development process, from idea to production release.
