The PMO Expectation Adherence indicator (pmo-EAl) is:

The PMO Expectation Adherence Indicator (pmo-EAI) is a key performance indicator derived from the PMO Value Ring methodology. This indicator quantifies the extent to which the PMO's selected functions and services are aligned with, and expected to meet, the strategic expectations of its stakeholders. It is calculated by summing the individual contribution probabilities of all the functions that have been chosen for implementation by the PMO. This provides a single numerical value representing the PMO's potential to deliver the value expected by the organization, based on its defined scope of services.

A. This incorrectly applies the Pareto principle (80/20 rule) to the indicator's definition. The pmo-EAI is based on all selected functions, not a specific percentage.
C. This describes a measure of portfolio performance or project success, not the specific indicator for aligning PMO functions with stakeholder expectations.
D. This is an inverted and incorrect application of the Pareto principle. The indicator is not defined by a fixed 80% of functions.

1. Pinto

A. (2019). How the PMO Value Ring helps PMOs to deliver the expected value. PM World Journal

Vol. VIII

Issue X

October. In the section "Step 6 – Define the PMO’s KPIs

" the author states

"The PMO Expectation Adherence Indicator (pmo-EAI) is the sum of the contribution probabilities of the selected functions." (p. 10).

2. Pinto

J. A. (2012). The PMO Value Ring: A new methodology for the PMO. 2012 PMI Global Congress Proceedings

Marseille

France. Newtown Square

PA: Project Management Institute. In Step 6 of the methodology

the pmo-EAI is explicitly defined as "the sum of the contribution probabilities of the selected functions."

3. Pinto

A.

Cota

M.

& Levin

G. (2019). The PMO Value Ring: Your Step-by-Step Guide to the #1 PMO Methodology. Berrett-Koehler Publishers. Chapter 6

"Defining the PMO’s KPIs

" details the calculation and purpose of the pmo-EAI

confirming it is the sum of the contribution probabilities for the chosen PMO functions.