How can IT companies move from a project to a product mindset? (based on my experiential insights in umpteen IT engagements till date)

How can IT companies move from a project to a product mindset? (based on my experiential insights in umpteen IT engagements till date)

Introduction & Context Setting

To move from a project-focused to a product-focused mindset, IT companies must take a structured, phased approach that emphasizes value-driven, customer-centric development. This transition can bring sustainable growth, competitive advantage, and a long-term view to technological solutions. This paper provides a step-by-step methodology for practical implementation, real-world use cases, and critical success metrics to gauge effectiveness.

My YouTube Shorts Video related to this - Things to focus on to move from project to product mindset - my Video based on experiential insights. Below is the link.

Things to focus on to move from project to product mindset - my Video based on experiential insights ( youtube.com )

You can watch my YouTube Video on

Day2 - Track1 Topic - "Value Stream Management & Building Productized IT Models" by Balaji.T as part of Agile Coach Summit March 2023

Day2 - Track1 Topic - "Value Stream Management" by Balaji.T as part of Agile Coach Summit March 2023 ( youtube.com )

The crux of the article

1. Understanding the Shift from Project to Product Mindset

The transition from a project to a product mindset entail moving from a temporary, deliverables-focused approach to a continuous, outcomes-focused approach. In a project mindset, success is measured by timely delivery, budget adherence, and requirements fulfillment. In contrast, the product mindset focuses on creating, managing, and evolving a service that provides sustained value to end users. Here’s what this looks like in practical terms:

  • Project Mindset: Time-bound with specific goals, requirements, and closure criteria. Once delivered, maintenance and evolution are generally outsourced or neglected.
  • Product Mindset: Long-term vision with a lifecycle-based approach, continuous evolution based on customer feedback, and iterative enhancements to meet changing market needs.

2. The Pragmatic Step-by-Step Transition

A structured, five-phase approach is outlined to ensure a smooth transition:

Phase 1: Define Product Vision and Strategy

  1. Create a Product Vision: Collaborate with key stakeholders to define the long-term vision and purpose of the product.
  2. Align on Outcomes and Objectives: Develop Objectives and Key Results (OKRs) that reflect business outcomes and customer satisfaction rather than mere completion timelines.
  3. Map to Customer Needs: Translate strategic goals into features or services that address specific customer pain points.

Phase 2: Restructure Teams for Product Focus

  1. Form Cross-functional Teams: Create dedicated product teams comprising developers, testers, UX designers, and product managers.
  2. Empower Product Ownership: Assign a Product Owner (PO) or a Product Manager (PM) responsible for decision-making, prioritizing customer value, and maintaining the product roadmap.
  3. Enable Autonomy and Accountability: Shift to an agile framework like Scrum or Kanban, allowing teams the autonomy to make decisions based on customer feedback and iterative development.

Phase 3: Establish Agile Product Development Processes

  1. Implement Continuous Delivery: Use CI/CD pipelines for rapid, frequent releases and updates, ensuring customer feedback loops are integrated into each release cycle.
  2. Focus on MVPs and Incremental Value: Launch a minimum viable product (MVP) and iterate based on customer feedback, enhancing the product in manageable stages.
  3. Adopt Agile Metrics for Product Success: Track metrics like Net Promoter Score (NPS), customer satisfaction, and user retention rather than project-focused KPIs like on-time delivery.

Phase 4: Shift from Project Management to Product Management

  1. Reframe Metrics: Move away from time and cost-based metrics toward user engagement, lifetime value, and customer retention.
  2. Develop Product Roadmaps: Focus on customer needs and long-term goals, with roadmaps evolving based on feedback.
  3. Budget for Product Lifecycle: Instead of project budgets, allocate funds based on lifecycle needs, enabling continuous development, support, and upgrades.

Phase 5: Continuous Feedback and Adaptation

  1. Implement Feedback Loops: Gather real-time customer feedback via NPS surveys, customer interviews, or in-product analytics to continuously improve the product.
  2. Iterate Based on Insights: Use agile retrospectives and sprint reviews to adjust priorities and address any emerging customer or market needs.
  3. Refine Product Backlog Regularly: Keep an active, prioritized backlog aligned with customer demands and product evolution.

3. Real-World Use Cases of Project-to-Product Transition

Use Case 1: Microsoft’s Transition with Office Suite

Microsoft transformed Office Suite from a boxed software (project-based) to Office 365, a subscription-based (product-focused) service.

  • Approach: Implemented agile methodologies and established dedicated product teams.
  • Outcome: Transitioned from a project-based licensing model to an ongoing, subscription-based model. Continuous updates allowed Microsoft to stay ahead of customer needs, boosting engagement.
  • Metrics: User retention rate, monthly active users, and subscription renewal rate.

Use Case 2: Spotify’s Move from Projects to Squad-Based Product Development

Spotify moved from traditional development teams to product-oriented “squads,” each owning a specific product feature or aspect.

  • Approach: Established cross-functional squads, with each squad responsible for a product feature, running in agile iterations.
  • Outcome: Enabled rapid product innovation and quicker responses to market demands, creating a more personalized user experience.
  • Metrics: Feature adoption rate, customer satisfaction, and reduced time-to-market.

Use Case 3: Adobe’s Shift to Creative Cloud

Adobe transitioned from selling software licenses for individual products to offering Creative Cloud as a subscription-based model.

  • Approach: Focused on continuous delivery of new features, performance improvements, and cloud-based integrations.
  • Outcome: Adobe was able to generate steady revenue while adapting its offerings based on user behavior and feedback.
  • Metrics: Customer lifetime value, churn rate, and subscription growth rate.

4. Key Goals, Success Indicators, and Metrics for the Product Mindset Transition

Defining Success Goals

  1. User-Centric Development: Products evolve based on feedback and usage, not solely on requirements defined at the start.
  2. Market Responsiveness: Ability to pivot or expand features rapidly to meet evolving demands.
  3. Sustainable Revenue Models: Enhanced profitability through subscription models, up-sells, and lifetime customer value.

Success Indicators and Metrics

5. Practical, Hands-On Example

Scenario: A mid-sized IT consulting firm transitions from managing projects to developing an enterprise HR platform as a product.

Steps to Implement

  1. Define Vision and Strategy: Outline a vision for a scalable HR platform addressing critical employee needs. Set OKRs for product adoption, engagement, and retention.
  2. Reorganize Teams: Form a cross-functional team including product managers, developers, UX designers, and customer support.
  3. Agile Implementation: Establish Scrum processes with two-week sprints and CI/CD pipelines for rapid releases and adjustments based on user feedback.
  4. Focus on Customer Feedback: Regularly gather insights through in-app surveys, analyze usage metrics, and host customer feedback sessions to inform product enhancements.
  5. Measure Success: Track key metrics such as active user growth, churn rate, and NPS to assess product adoption and satisfaction.

Example of Goals and Metrics

  • Goal: Improve employee engagement and reduce turnover. Metric: Measure DAU/MAU, user satisfaction (NPS), and feature usage.
  • Goal: Achieve continuous improvement with minimal downtime. Metric: Monitor defect density and customer-reported issues per release.

Closure Thoughts

Moving to a product-centric model requires a holistic shift in processes, culture, and structure. By focusing on customer value, cross-functional collaboration, and continuous improvement, IT companies can achieve sustainable, scalable growth while delivering higher customer satisfaction. A successful transition relies on measuring impact-driven metrics, fostering agility in teams, and maintaining a long-term vision that evolves with user needs.

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