When serving a complex value chain, internal operational efficiency is not just a background task. Inefficient internal processes can completely break the customer experience, making features for internal teams (e.g., operations, procurement) just as high-priority as those facing the end customer.
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Platform value isn't developer efficiency. It's enabling developers to build features that solve end-customer problems and drive business outcomes like retention. The platform PM must connect their work across this two-step chain to secure investment.
A significant maturity gap in large organizations is that internal platform PMs don't treat their users (e.g., developers, finance) as customers. Applying customer-centric practices like problem framing and journey mapping to these stakeholders can dramatically improve outcomes.
A platform's immediate user is the developer. However, to demonstrate true value, you must also understand and solve for the developer's end customer. This "two-hop" thinking is essential for connecting platform work to tangible business outcomes, not just internal technical improvements.
Brands must view partner and supplier experiences as integral to the overall "total experience." Friction for partners, like slow system access, ultimately degrades the service and perception delivered to the end customer, making it a C-level concern, not just an IT issue.
To get product management buy-in for technical initiatives like refactoring or scaling, engineering leadership is responsible for translating the work into clear business or customer value. Instead of just stating the technical need, explain how it enables faster feature development or access to a larger customer base.
Figma learned that removing issues preventing users from adopting the product was as important as adding new features. They systematically tackled these blockers—often table stakes features—and saw a direct, measurable improvement in retention and activation after fixing each one.
While brand consistency is a benefit, the primary business impact of a well-built design system is operational efficiency. It drastically accelerates speed to market for new features and slashes onboarding time for new hires because the system's intelligence is effectively self-documenting.
Instead of waiting for experience teams to request an API, platform teams should analyze top-level business goals and proactively propose services that unlock new use cases. This shifts the dynamic from a reactive service desk to a strategic partner.
In environments with highly interconnected and fragile systems, simple prioritization frameworks like RICE are inadequate. A feature's priority must be assessed by its ripple effect across the entire value chain, where a seemingly minor internal fix can be the highest leverage point for the end user.