Richard Beckhard and Reuben Harris formalized an idea from David Gleicher as a change readiness equation:

D × V × F > R
  • D — Dissatisfaction with the present state.
  • V — Vision of a desirable future.
  • F — First concrete steps toward the vision.
  • R — Resistance, or the cost of changing.

Change occurs only when the product of the first three exceeds resistance.

Evidence: Weak, and deliberately non-quantitative. The multiplicative form is a metaphor; nothing here is measurable in a rigorous sense, and the terms are not independent. Its value is diagnostic: the claim that a zero on any of dissatisfaction, vision, or first steps blocks change regardless of the others corresponds to three recognizable and distinct failure patterns. Use the structure, ignore the algebra.

Use when: assessing readiness before launching a change, or diagnosing why a launched change has no traction.

Do not use when: you want quantitative prediction. The variables are not measurable in any rigorous sense; the equation is a diagnostic heuristic.

Why multiplication, not addition

If any one of D, V, or F is zero, the product is zero and no amount of the others compensates. This is the model's entire value, and it maps directly onto observable failure modes:

Missing What it looks like
D = 0 "Things are fine." Complacency. The change is a solution in search of a problem. People comply minimally and wait.
V = 0 Anxiety and churn. Everyone agrees the present is bad; nobody can describe the destination. Energy dissipates into complaint, and cynicism grows.
F = 0 Inspiring away-day, no Monday. A compelling vision with no visible first step produces fatalism: "nice idea, can't get there from here."

The most common real-world pattern in mature organizations is F = 0. Leaders invest heavily in D (burning platform) and V (strategy deck) and almost nothing in F, because F is unglamorous, local, and specific.

Diagnosing R

Resistance is not a personality trait. Decompose it:

  • Loss: status, competence, autonomy, relationships, routine, meaning.
  • Cost: effort and time to change, on top of the existing workload.
  • Risk: what happens to me if this fails, or if I am bad at it initially.
  • History: previous failed changes here, and what happened to their champions.
  • Legitimate objection: sometimes the change is a bad idea. Test this before treating it as resistance.

See force-field-analysis and immunity-to-change.

Practical use

Score each term 1–5 with the leadership team, then separately with a sample of frontline staff. The gap between the two scorings is usually more informative than either score. Leaders reliably rate D and V far higher than their organizations do, because leaders have been discussing both for months.

Examples by audience

  • Health care: D is often extremely high — everyone knows the pathway is broken — while V is contested between professions and F is absent because nobody has authority over the first step. High D with zero F produces burnout, not change.

  • Software: engineers frequently have high D and clear F ("delete this service, automate this gate") but no V, because leadership has not said what the system should become. The result is local optimization without direction.

  • Executive: executives usually own V and can manufacture D. The highest-leverage executive act is supplying F: naming the first concrete step, resourcing it, and removing the specific obstacle blocking it.

Limitations

  • Pseudo-quantitative; the arithmetic is a metaphor.
  • Treats resistance as a single lump; decompose it to act on it.
  • Silent on sequencing and on structural constraints.

See also

Organizational Development — a comprehensive practitioner's guide to OD for health care professionals, software engineers, and senior executives. Every framework says what the evidence is, and where it is weak.

Source and contributions: github.com/organizational-development. Built with the Lily Design System™.