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Summary – Pressed by technological acceleration and evolving usage, CIOs observe that the fixed project model generates technical debt, loss of context and delays with every adjustment. The product approach reverses this dynamic by structuring stable cross-functional teams, a recurring budget and continuous roadmap management based on value KPIs (satisfaction, partial ROI, technical debt) to align digital development with business goals.
Solution: adopt a product operating model with a business-technology steering committee, a product manager ensuring the vision and iterative funding to accelerate time-to-market, control debt and maximize value creation.
In an environment where technologies and user practices are constantly evolving, relying on a classic project model can reveal its limitations. A project delivers a defined scope by a given date, whereas a digital product is designed to create value and adapt continuously. CIOs and executives who rethink their delivery model find that a product-driven approach more closely aligns the evolution of digital assets with business objectives, while reducing technical debt and organizational disruptions.
Distinguishing the Project Approach from the Product Approach
Project and product mindsets serve different goals. A project delivers a fixed scope, while a product generates ongoing value.
Distinct Purposes and Scopes
A project approach focuses on implementing a set of functionalities or a well-defined enhancement, often bounded by a fixed budget and delivery date. It is ideal for clearly identified requirements and regulatory or technical constraints that don’t demand frequent changes.
By contrast, the product approach aims to build a living digital asset—such as a website, enterprise application, customer platform, or internal Software as a Service. It encompasses not only the initial delivery but also ongoing evolution, user feedback, and continuous alignment with business priorities.
In this model, value isn’t measured only at the end of a sprint or phase but throughout the asset’s lifecycle. Key metrics include user satisfaction, business performance, and stakeholder engagement.
Limitations of the Project Model in a Dynamic Context
In a competitive, fast-moving technological environment, the project model can lead to a “slide” effect: plan, execute, deliver, then disband teams and lose institutional knowledge. When adjustments are needed, a new project starts—recreating context loss and delays.
This succession of projects fuels growing technical debt and fragmented expertise. Trade-offs occur at delivery milestones, often sacrificing code quality and maintainability.
Ultimately, companies spend more on corrective maintenance and new development phases than on continuous improvement, hindering agility and responsiveness to market opportunities.
Concrete Case – Migrating a Mobile Banking Platform
A mid-sized bank initially entrusted the overhaul of its mobile app to a vendor under a single project contract. Once delivered, the team disbanded, and any subsequent adjustments—such as adding instant payment features or complying with new security standards—required launching a new project.
Reestablishing specifications and ramping up knowledge took several weeks each cycle. This lack of continuity generated significant technical debt and delayed the delivery of critical notification modules, impacting customer satisfaction and time to market.
This case illustrates that the project model, when applied to a digital asset in constant evolution, can become counterproductive and costly.
Implementing a Product-Driven Organization
Adopting a product approach transforms governance and team structure. It’s about funding the sustainable evolution of a digital asset, not just a one-off delivery.
Governance and Roadmap Management
In a product-driven model, the roadmap is continuously managed by a steering committee including business sponsors, the product owner, and technical leads. Prioritization decisions are based on value indicators, not just progress against an initial plan.
The product vision is formalized and upheld by a product manager, who ensures coherence between corporate strategy and backlog evolution.
Each new feature undergoes lean framing: value hypotheses, success metrics, and anticipated user feedback. Product governance thus focuses on continuous optimization rather than executing a fixed plan.
Team Structure and Key Roles
Teams become cross-functional—bringing together developers, UX/UI designers, data specialists, testers, and support staff. They align with a product or a set of related products, maintaining stability over time.
The product owner defines, prioritizes, and refines the backlog, while the product manager oversees overall coherence and integrates business feedback. These squads retain the technical and functional knowledge needed to deliver value rapidly.
This model reinforces collective accountability: every member shares the product vision and objectives, fostering ownership of business challenges and continuous innovation.
Funding Model and Budget Tracking
Instead of budgeting a fixed project, you allocate an ongoing budget to the product—often on a monthly or quarterly basis. This recurring funding supports both planned enhancements and unforeseen adjustments.
Budget tracking relies on value delivered (KPIs, adoption rates, partial ROI) and technical debt levels. Decisions are then made based on the cost-benefit ratio of each initiative.
This funding approach smooths resource allocation, eliminates delivery gaps, and minimizes idle phases between discrete projects.
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Business Impacts and Tangible Benefits
The product approach bridges strategic vision and operational execution. It boosts responsiveness and user-centric value creation throughout the lifecycle.
Continuity Between Vision and Execution
By keeping a stable team around a product, you preserve culture, architectural knowledge, and user insights. Successive iterations build on a shared history, avoiding costly restarts.
The product vision remains shared and continuously updated. Stakeholders participate in regular reviews and demonstrations that validate goals and adjust direction before project completion.
This continuity fosters close collaboration between technical and business teams, accelerating time-to-market and improving risk anticipation.
Market Responsiveness and Rapid Adaptation
With clear modular separation and a focus on user feedback, a product-driven organization can deploy fixes and features in days or weeks instead of months.
This agility enables quick responses to market trends, integration of new channels, or UX adjustments based on customer feedback—strengthening engagement and satisfaction.
Speed of adaptation becomes a decisive competitive lever, especially for companies in regulated sectors or subject to rapid demand shifts.
Concrete Case – E-Commerce Platform Evolution
An e-commerce player had treated each new feature as a separate project—catalog redesign, recommendation engine, checkout optimization—each requiring three months of scoping and testing.
By shifting to a permanent product team, they cut production lead times from two months to a few weeks. Seasonal promotions and marketing campaign adjustments are now deployed continuously, boosting conversion rates by 15% outside of sale periods.
This transformation proved that continuous KPI tracking and agile prioritization deliver tangible gains in revenue and customer satisfaction.
Challenges and Keys to Successful Product Transformation
Moving to a product-driven model requires cultural and leadership shifts. It demands role redefinition and value-focused management instead of schedule-based planning.
Cultural Shift and Product Leadership
Adopting a product culture relies on committed leadership: sponsorship from top management, ongoing business support, and transparent communication of objectives. Leadership must embody long-term commitment.
Teams must move from “complete the scope and stop” to “continuously improve.” This transition requires valuing incremental wins and treating field feedback as evolution opportunities.
Management supports agile rituals (product reviews, frequent retrospectives) to enhance transparency, accountability, and collective alignment around value.
Role Redefinition and Skill Development
The product owner role evolves into a strategic product manager: defining vision, leading the steering committee, and finely prioritizing the roadmap. The Scrum Master or agile coach role may be strengthened to support technical teams.
Teams acquire new skills: data analysis for KPI tracking, UX research to understand user needs, feature lifecycle management, and maintenance. Continuous learning becomes essential.
Skill development also includes measuring technical debt and prioritizing refactoring alongside functional enhancements.
Continuous Value Measurement and Management
Adopting product management entails tracking qualitative and quantitative metrics: user adoption, NPS, retention rate, technical performance, and total cost of ownership. These metrics guide decisions and justify ongoing budgets.
Product governance institutes quarterly (or monthly) reviews to analyze variances, test hypotheses, and adjust strategy. KPIs are shared with all stakeholders to maintain engagement.
For example, an industrial company integrated real-time monitoring of its operational tool, shifting from monthly reports to daily dashboards. This oversight cut order processing time by 30% and anticipated incidents before they impacted production.
Adopt a Product Operating Model
Transforming from a project delivery model to sustainable product management is a powerful lever for aligning digital development with business objectives and meeting constant innovation pressures. It reduces technical debt, accelerates deployment cycles, and strengthens collaboration between business and IT.
Our team of Edana experts supports companies through this transition: structuring teams, establishing product governance, defining value metrics, and upskilling stakeholders.
