Platform Adoption - Business Case and Rollout Rhythms

Start small, prove it, then scale through a repeatable onboarding loop. Once you’re past the first few teams, scaling should stop being about inventing new mechanics.

Building a business case

1. The current state, and the scaling problem it creates.
2. What exists today, and proof that it works.
3. Proposed next steps and scope.
4. A return-on-investment summary (ROI, and net present value if the audience thinks that way).
5. Risks and assumptions, and how you’ll manage them.

Selling it

• Make it clear this is not just another tool. Frame what teams gain and keep what they lose to a minimum. If you can’t, it isn’t a product people want.
• The platform should feel like support, not disruption.

Start small

Don’t scale straight away. The failure mode is failure by success: adoption outpaces your ability to support it and keep it under control.

Rollout rhythms

After the first three teams, keep the same onboarding loop and make the loop more effective. Choose the next teams with a simple pros-and-cons matrix comparing similarity to existing paths against learning and ROI potential. The ideal next team:

• is highly similar to teams already onboarded,
• offers high learning or return,
• will strengthen the onboarding loop itself,
• will use the platform early and often.

The path cycle

Path discovery → MVP → validation and iteration → productionalisation → then into the onboarding loop (onboarding → refinement → preparation → onboarding).

• Discovery: talk to users, watch real workflows, find friction that is recurring and meaningful.
• MVP: genuinely minimal and not yet polished. Speed and learning beat elegance.
• Productionalisation: from “it works” to “it works all the time”, with ownership established.

Afterwards every path sits at a known stage, mid-iteration or maintained, so roadmap decisions get clearer: you can see what’s in flight and prioritise.

Two rules I like:

• Improving a path’s internals (a faster build, a better model) needs no re-onboarding; to the user, the path hasn’t changed. Re-onboard only when user behaviour, guarantees or constraints change.
• Workarounds are a signal. Keep checking that each path is still the fastest, safest, most natural way to the outcome. That’s the whole promise of a golden path.

Related: Platforms as the Enterprise Operating Model for the why, Growing a Platform: Breadth, Depth and Gear Shifting and Explore, Expand, Extract for how the platform itself matures.