Methodology
The Push methodology is a reasoning model for technical leadership: start with a real incident, test competing explanations, and change the decision path with one reversible experiment.
The Push methodology helps a technical leader examine one recurring incident before naming a framework. It separates authority, context, capability, and risk; tests which explanation fits the evidence; and uses a small reversible experiment to see whether judgment moves without creating a new dependency.
A useful diagnosis begins with a specific moment: a decision returned for approval, a review that could not move, or an escalation that skipped the person closest to the work. One incident is evidence to investigate, not proof of a pattern.
The same escalation can have different causes. The work is to test the explanation against what the team was told, what it knew, what it could do, and what risk it was carrying.
Moving a task is not the same as moving judgment. An intervention is healthy when the person who owns the work can make the next comparable decision with clearer boundaries and less rescue. It is becoming dependency when every experiment creates another approval step for the same manager.
Framework definitions and professional observations explain the work; they are not guarantees of business outcomes. Testimonials, case studies, and quantified outcomes are shown only when separately verified and approved.
A healthy intervention makes the next comparable decision easier for the owner to make. It clarifies the boundary, the evidence required, and the risk that warrants escalation. If the intervention only adds another approval step, it has moved work without moving judgment.
Ask whether the person was allowed to decide and whether they had the context and skill to decide. If authority was missing, clarify the boundary. If capability was missing, training, pairing, or hiring may be the right response. Do not treat every escalation as a confidence or coaching issue.
It is a small change to one decision path that can be observed and rolled back. For example, define which decisions a manager owns for one week, record exceptions, and review the evidence at a set time. The experiment should change behavior while preserving a safe route for genuine risk.