Most transformations and mergers don't fail on strategy. They fail on adoption. Employees never change as they don't know how. PMI Digital measures the risk before you commit the capital, using techniques based on more than 80 years of research and cutting-edge neuroscience.
Every change program measures how people feel: attendance, training scores, readiness, engagement, and "pulse checks." None of those techniques measure whether anyone is using the new methods.
A person can attend training, rate it five stars, report on a survey they "feel ready." But, they keep doing their job the old way, ask a colleague who can to do the new part, or run the old spreadsheet alongside and ask someone to key the results in later so the dashboard looks fine. Each one is a success on sentiment and a failure on adoption, and the program finds out when the audit is run.
We have watched it. On one rollout, reports looked perfect for months, until a manager began taking leave at every month-end, because that was when the reports had to be run in the new system, and he had never learned how. Someone else was doing it for him. Training score: 100%. Adoption: 0%.
The Pre-Mortem© and the Ledger© ask one question instead: is this person doing the work the new way, in full, with nothing on the side? Answered and counted by the only person who knows, their manager. Sentiment tells you how the training went. Adoption tells you whether the money was wasted.
A manager is accountable for counting the adoption of their own direct reports honestly and for finding what stops them. Every level above carries that count in its own number: a department's score is its managers, a division's is its departments, and the CEO's score is nothing but the sum of the front line. No one above can point down, because the number they own is the number below.
So when a team is at 54%, the question is never who is at fault. The question is why, asked up the chain until the barrier is found. The scanners were not at the stations; the equipment request sat with the CIO; the CIO's budget line was cut. The manager counted honestly, and the barrier was three levels up. These issues are what we find, and what we help you solve. We do not place blame. We show where the accountability sits, remove barriers in the way, and the adoption rate moves.
A transformation is not "finished" when it goes live, when the budget is spent, or when the engagement scores tick up. It is finished when a defined population actually performs the new behavior, and keeps performing it. That is measurable, but has simply never been used. More than 80 years of diffusion science already told us how.
Not by broadcast. By trusted insiders, adjacent to the work, whose visible results carry the new way across a population.
The manager, the one person standing where the work is done, who can name and reach every position on the curve.
A frozen cohort, fixed checkpoints, two published rates. An accounting standard for whether the change actually took.
Training Within Industry proved manager-led adoption at national scale, and Japanese industry built on it for decades. The profession forgot, and sold decks instead.
The instrument is the same; only the corporate funds at risk change. In every case we answer the one question an executive cannot otherwise answer: "Will the employees actually change what they do, and where will it stall first?"
The sweet spot. Before a major operating-model, process, or restructuring change, know your organization's real position on the change curve, and the segment where adoption will break.
A nine-figure system is an investment of corporate funds that can quietly become a major loss. Measure how likely the new technology will be used, and where it will fork into shadow spreadsheets, before you sign the contract.
Most mergers fail on integration, not price. Assess both workforces before close, and locate exactly where the combined operating model will fail.
The deal assumes a new discipline can be imposed in 18 months. We tell you, before the signing, whether the employees are truly capable of adopting it.
The board approved it; the organization isn't implementing. We diagnose which layer is the chokepoint, a private question a CEO dare not ask their team.
Everyone is being told to "adopt AI." We measure, by function and level, whether your employees will adopt, before the spend, not after.
A post-mortem tells you why the transformation died. A Pre-Mortem© tells you how likely it is to fail, and where, before the budget is committed.
Everyone in the organization, from the CEO to the front line, answers 48 questions online, in less than eight minutes. Scoring is automatic and rolls up from team to manager to division, the C-suite, and the board. Organizations that run it on their whole company, under an executive agreement with the Saisei Project, receive the company-level result at no cost: the forecast, the corporate funds at risk, and how many divisions are heading for failure. But not which. Finding which ones, and why, is a full analysis arranged directly with PMI Digital: it locates each division by region, department, and manager, names the blocker, and is delivered in person to the executives accountable for the funds at risk. It is not a survey and certainly not a sentiment score. For more information, visit www.saisei-project.org.
No change manager is needed. Manager-Led Diffusion removes most of the busy-work change managers do today. If your program already has one, they can be trained to work within the method and become part of the change.
PMI Digital's approach grows out of more than three decades of behavioral measurement by its CEO, Charles B. Pribyl, including the neuroscience of why most communication methods fail to reach the parts of the brain where adoption actually lives.
First author of an fMRI study of loyalty and engagement covered by the Times, showing loyalty is encoded in the brain's emotional centers, not its rational surface.
Nobel laureate Daniel Kahneman noted that what drives behavior in a complex world is often emotion, more than rationality.
Developer of the EQ-NP behavioral measurement scale, taken by roughly 200,000 people in six languages, predicting performance where executive and HR judgment falls short.
Published in the Harvard Business Review and Gallup's Human Sigma; 30+ years on the front lines of change in the U.S., South Korea, Japan, and worldwide.
References available on request. Media coverage cited for factual attribution; no endorsement is implied.
The full argument, the science it's built on, and the operating model, the autopsy of a profession that measured activity instead of adoption, and the standard that replaces it.
For executives weighing a transformation, a system, a merger, or an investment: a short conversation about what a Pre-Mortem would predict about the corporate funds you are about to commit, and how much is at risk.
Contact PMI Digital