The same interventions, run in the wrong order, stall. Flag where your transformation is stalling, sequence the plays that move each segment, and watch the adoption curve evolve — including what happens when you deploy a play before the proof it needs exists.
This is a demonstration of a transformation simulation — a deliberately simplified model, not a forecast of your organization. Its purpose is to make the dynamics of transformation work visible: how interventions, their sequence, and their timing compound or stall, and how that plays out across a whole population over time. Use it to build intuition for the shape of the work — not to predict a number.
0 cells flagged. These are the bottlenecks your sequence should target — plays that hit a flagged cell land harder.
Each step's groundwork is what lets the next one land. Miss it — or run a play before its proof exists — and the chain breaks.
Illustrative model, not a forecast. It renders the logic of the Adoption Matrix: interventions matched to a stalled cell land harder, and plays that depend on peer proof (peer relays, the inaction reframe, the laggard path) are muted if you run them before that proof exists. The eight plays are a curated set from the full sixteen-cell matrix. Your real sequence is what the Adoption Reset builds and measures.
Put the laggard path or the skeptic reframe in week one and watch it barely move the line — there's no peer proof yet for it to stand on. Seed proof with your innovators first, equip managers early to amplify everything after, and the same plays compound instead of fizzling. None of it runs itself: your team clears the time, has the conversations, and does the groundwork. The sequencing judgment — which cell, which play, in which order — is what separates a rollout that holds from one that decays. That's the part we do together.
You've built a working model. Request the finished summary and Tom sends it to you personally — a single sheet with your curve, your sequence, and the read on where the transformation holds or breaks, plus a short take on what it means for your actual rollout. The simulation you built is attached to the request automatically.
No list, no drip sequence. One human reply.
Diagnosis by role and workflow, a population mapped onto the matrix, and a sequenced set of interventions for the cells where adoption is actually stalled — enablement delivered through two workshops for leaders and champions. You walk away with a plan built around behavioral change, not communications volume, and usage that survives the quarter after launch.