Stop Measuring Your Platform by Adoption Alone

-

Platform adoption is easy to celebrate. More teams using the deployment pipeline, service catalog, or infrastructure templates appears to prove that the platform is working.

But adoption alone can hide an uncomfortable reality. Teams may use the platform because it is mandatory, while still losing time to confusing workflows, missing capabilities, and slow support. A platform can have near-universal usage and still deliver a poor developer experience.

Measure the Friction Removed

The purpose of an internal platform is not to centralize tools. It is to reduce the effort required to build, deliver, and operate software safely.

Technology leaders should therefore look beyond registration counts and pipeline executions. Better questions focus on the work developers can complete without waiting for another team.

  • Can a team create a production-ready service without filing tickets?
  • Can developers understand why a deployment failed?
  • Can teams make routine infrastructure changes through a supported workflow?
  • Can engineers find ownership, operational guidance, and service health information quickly?

These questions reveal whether the platform creates autonomy or simply introduces a new control layer.

Treat Exceptions as Product Feedback

Platform teams often view exceptions as resistance. That is a mistake. Repeated requests to bypass a standard workflow usually indicate that the workflow does not support a legitimate engineering need.

This does not mean every request should become a feature. It means exceptions should be categorized and reviewed. A recurring workaround may expose a missing capability. A one-off request may require documentation. A risky request may need a clear boundary and an approved alternative.

The goal is not to eliminate variation. The goal is to make the safe, supported path the easiest option for the majority of work.

Hold Leaders Accountable for Outcomes

Mandating a platform can increase usage quickly, but it cannot create trust. Trust grows when the platform is reliable, understandable, and responsive to developer needs.

Leaders should pair adoption metrics with measures of self-service completion, workflow reliability, support demand, and time spent waiting. They should also review where teams leave the platform and why.

The leadership takeaway is simple: do not ask only whether teams use the platform. Ask what work became easier because the platform exists. That answer is a far better measure of platform value.

Comments

Post a Comment

Popular posts from this blog

Manage IT by Johanna Rothman

-
I just completed this book. I think it is a really good book which covers a whole lot of software development. This book could possibly be the best book for first time project managers. I believe many of the PMs understand PMM but do not understand software development. This book gives a view of each project role. The only one that it does not cover is Business Analyst or requirements documentation. It does cover QC, development and of course PMs. It gives a PM a view into development processes like TDD, CI and estimation. Many PMs that are new to SD can read this book and get a great start to manager an SD project. If you are a PM or know some, read this book. http://www.jrothman.com/
Read more

How AI is Transforming DevSecOps: A New Era of Secure, Agile Software Delivery

-
 As software delivery accelerates and attack surfaces grow, traditional DevSecOps practices are being pushed to their limits. The integration of artificial intelligence (AI) into DevSecOps workflows is not just a trend—it’s a strategic imperative. AI is driving a seismic shift in how we manage code quality, automate security, respond to threats, and enable secure innovation at scale. In this post, we’ll explore the key ways AI is improving DevSecOps and why forward-thinking organizations are embedding it deeply into their pipelines. 1. Proactive Threat Detection and Response In modern CI/CD pipelines, code moves fast—sometimes too fast for human eyes to catch every vulnerability or misconfiguration. AI helps shift security left and right by: Analyzing code and dependencies with natural language processing and ML to detect hidden vulnerabilities, insecure APIs, or anomalous changes during commits. Real-time anomaly detection in production environments using AI-powered o...
Read more

Matrix Organizations are bad for Software Dev

-
Development teams need to be teams first and company people second. What happens when your team wants to start using user stories and index cards, but your analyst team manager thinks Use Cases are the best way to document requirements? How about when your QA process is not mature and you keep releasing with defects but the QA manager does not do anything about it? How about your project manager never buys into the team and only cares about being on time and on budget because their review is based on it. Maybe the tech lead wants requirements that never change and never lets the client change their mind. The technical manager taught your tech lead and agrees with everything the tech lead says. Agile or what I like to call "Successful Teams" are teams. They do what it takes to do what the customer wants, deliver features. I am not saying only agile teams are successful but successful teams are agile. If your organization is matrix, get your leadership buy in to override...
Read more