The third wave of product management demands you run two races at once: optimize the core and invent the future.
Product management today is not about a single transformation. The actual job is to manage two transformations at once — what I call dual transformation. One foot is on optimizing and defending the core business. The other is inventing and scaling new growth engines that will define your company’s future.
This is what week one looks like for most new product leaders in India’s evolving tech ecosystem. You cannot treat legacy and innovation as separate worlds. Your job is to run them in parallel — with different teams, metrics, and mindsets — while maintaining alignment and focus.
Dual transformation is the foundation of modern product leadership. Everything else flows from your ability to balance these two imperatives.
Why dual transformation is unavoidable in 2024 and beyond
The product landscape has shifted dramatically since 2018. We are now deep into what I call the Third Wave of product management.
The first wave was digitization and basic product practices.
The second wave brought customer-centricity and Agile methods.
The third wave is reshaping everything with AI, sustainability, and new market dynamics.
Leadership offsite at a Series C SaaS startup in Bangalore
CEO: “Our core product is mature and profitable. But growth is slowing. We need to find new engines of growth.”
VP Product: “We can optimize the core with incremental improvements and better retention. But we also need a separate innovation team exploring AI-powered features and adjacent markets.”
You (Product Leader): “How do we balance investment and attention between these two efforts without losing focus or burning out teams?”
CTO: “The engineering team is already stretched. We need clear priorities and distinct roadmaps.”
This conversation is the new normal. Companies that fail dual transformation risk stagnation or disruption.
Balancing core stability with innovation is the defining challenge of product leadership today.
India’s startup ecosystem is maturing fast. Companies like Razorpay, Meesho, and Swiggy are scaling their core businesses while experimenting with new product lines and AI capabilities. This is dual transformation in action.
Your role is to make the hard trade-offs, align stakeholders, and build processes that let both transformations thrive simultaneously.
The core and the new: distinct but connected
Dual transformation means running two different but connected businesses:
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Transformation A: Optimize and defend the core. This is your existing product, revenue, and customer base. The focus is on efficiency, retention, incremental innovation, and operational excellence.
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Transformation B: Create new growth engines. This is where you explore new markets, technologies, business models, and customer segments. The focus is on discovery, experimentation, rapid learning, and scaling new ideas.
These two have different metrics, mindsets, and risk profiles. Your leadership challenge is to give each the space and resources it needs — without silos or fragmentation.
The leadership traps in dual transformation
Running two transformations simultaneously exposes product leaders to unique pitfalls:
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Core bias: The temptation to over-focus on the existing business because it’s proven and revenue-generating. This starves new initiatives of resources and attention.
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Innovation distraction: Conversely, getting swept up in shiny new ideas and neglecting the core operations that fund the company.
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Resource conflicts: Engineering and design teams stretched thin, unclear priorities, and burnout.
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Stakeholder misalignment: Sales, marketing, and leadership teams unclear on which bets to back or how to communicate dual priorities externally.
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Cultural fragmentation: Different mindsets and processes in core and innovation teams causing friction.
How to apply dual transformation principles in your product organization
1. Separate teams and processes
Give your core product and new initiatives dedicated teams with distinct goals, processes, and cadence. For example, the core team might run quarterly OKRs and stable sprints, while the innovation team runs monthly discovery cycles and rapid experiments.
2. Define clear success metrics for each transformation
Core success is measured by retention, revenue growth, and operational KPIs.
Innovation success is measured by learning velocity, prototype validation, and user engagement in new markets.
3. Align leadership and stakeholders on dual priorities
Communicate clearly to executives, sales, marketing, and engineering about the dual priorities and how each contributes to the company's future.
4. Manage resource allocation explicitly
Use capacity planning and investment frameworks to balance engineering time, budget, and attention between core and new.
5. Foster cultural bridges
Create forums for teams to share learnings and build empathy across core and innovation groups.
Quarterly product leadership meeting at a mid-stage fintech startup in Mumbai
You (Product Leader): “This quarter, the core team will focus on improving payment success rates and reducing churn. The innovation team will pilot a voice-based onboarding feature targeting rural users.”
Sales Head: “How do we position these initiatives to customers?”
Marketing Lead: “We need messaging that highlights stability and innovation simultaneously.”
CTO: “Engineering will dedicate 60% capacity to the core and 40% to innovation.”
CEO: “Let's track progress separately but review together monthly to ensure alignment.”
Coordinating dual priorities across functions
Dual transformation in the Indian context
India’s market complexity makes dual transformation especially challenging:
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Rapid growth and scale: Companies like Flipkart and PhonePe are growing fast, requiring relentless core optimization alongside new product bets.
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Diverse customer segments: Innovation often targets underserved or emerging segments (tier-2/3 cities, vernacular users) while the core serves urban, established customers.
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Cost sensitivity: Innovation must balance cutting-edge features with affordability and scalability.
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Talent constraints: Hiring and retaining engineering and product talent capable of both stable execution and innovation is tough.
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Regulatory and infrastructure variability: New initiatives must navigate these while protecting the core business.
Swiggy’s evolution illustrates this well: their core food delivery business is optimized daily, while their hyperlocal grocery and quick-commerce experiments run as separate initiatives with dedicated teams and funding.
Field exercise: Plan your dual transformation approach (20 min)
Choose a product or company you are familiar with. Outline a dual transformation plan:
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Identify the core business and its key metrics.
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Identify a new growth initiative or innovation opportunity.
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Define separate teams, goals, and success metrics for each.
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Plan how you will allocate resources and manage dependencies.
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Draft a communication plan for stakeholders.
If you cannot clearly separate core and innovation efforts, reconsider whether you have the right structure and leadership focus.
- Pick a product or company you know well.
- Define the core business and its key success metrics.
- Identify one or more new growth initiatives or innovation areas.
- Propose how you will organize teams and roadmaps for core and new.
- Outline how you will balance resources and align stakeholders.
- Reflect on potential challenges and how to address them.
Test yourself: Prioritizing dual transformation at a Series B fintech in Pune
You are the PM at a Series B fintech startup in Pune. The core payments product serves 1 million users with steady growth but increasing competition. The leadership wants to invest in an AI-powered financial advisory feature targeting tier-2 cities. Engineering capacity is limited, and the sales team is pushing for faster core feature delivery.
The call: How do you prioritize engineering capacity between core improvements and the new AI feature? How do you communicate and align with stakeholders?
Your reasoning:
You are the PM at a Series B fintech startup in Pune. The core payments product serves 1 million users with steady growth but increasing competition. The leadership wants to invest in an AI-powered financial advisory feature targeting tier-2 cities. Engineering capacity is limited, and the sales team is pushing for faster core feature delivery.
Your task: How do you prioritize engineering capacity between core improvements and the new AI feature? How do you communicate and align with stakeholders?
your reasoning:
Alumni callout
PL alumni now work at Flipkart, Google, Razorpay, PhonePe, Swiggy, Amazon, Microsoft, and 30+ other companies.
Where to go next
- If you want to master stakeholder alignment in complex organizations: Stakeholder Management
- If you want to deepen your AI product strategy skills: AI Product Strategy
- If you want to build data-driven roadmaps for innovation: Product Roadmapping
- If you want to develop leadership skills for product managers: Visionary Leadership