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Platform as a Product: Beyond the Buzzword

Platform EngineeringProduct ManagementDevEx
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Platform as a Product: Beyond the Buzzword

Many engineering organizations build platforms that nobody uses. The reason is simple: they build what they think developers need, rather than treating them as customers.

From Project to Product

A project has a start and an end. A product has a lifecycle and users.

  • User Research: Interview your developers. What are their pain points?
  • Adoption over Mandate: If the platform is good, developers will choose it. Mandating a bad platform creates shadow IT.
  • Roadmap: Communicate what’s coming. Manage expectations like a real SaaS product.

Key Metrics for Platform Products

Stop measuring "number of features". Start measuring:

  • Time to First Hello World: How long for a new hire to deploy?
  • Net Promoter Score (NPS): Do your developers actually like the tools?
  • Self-service Rate: Percentage of operations done without a ticket.

How to avoid building shelfware

Two patterns help a lot:

  1. Design around journeys, not tools. “Create service”, “deploy safely”, “debug production” are products; Kubernetes and Terraform are implementation details.
  2. Make the paved road cheaper than the alternative. If the fastest path is manual, teams will keep doing manual.

Common pitfalls

  • Feature factory thinking: shipping features without measuring adoption.
  • No deprecation story: platforms rot when old templates and pipelines live forever.
  • Optimizing for edge cases first: start with the mainstream service type and expand.

A simple first month plan

  1. Pick one flagship golden path and onboard 2–3 pilot teams.
  2. Measure time to first deploy and the top friction points.
  3. Publish a short roadmap and iterate weekly.

What to ship first (to build trust)

Platforms win adoption when they remove pain quickly. A pragmatic first wave is:

  • 1–2 golden paths for high-frequency services (web API, batch job, data pipeline)
  • a clear contract: templates, CI/CD, security defaults, and operational basics (SLOs, dashboards)
  • a lightweight support + feedback loop (office hours, docs, changelog)

The minimum operating model

Treat the platform like a product team:

  • a single prioritized backlog (not a ticket queue)
  • explicit ownership (PM/Tech Lead/Engineers + security/SRE partners)
  • versioning/deprecation rules so teams can upgrade safely

Conclusion

Treating your platform as a product is the only way to ensure long-term ROI. It turns the platform team from a bottleneck into an enabler.

Want to go deeper on this topic?

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