Training module

Monitoring & Measurement

Design and run monitoring activities and measurement methods to generate reliable performance data for evaluation and improvement

Cross-disciplineManagement System Manager
Laboratory professional handling sample containers, illustrating monitoring and measurement foundations through controlled data collection, measurement methods, and quality checks.

Are inconsistent or unreliable performance data hindering your decision-making and management system effectiveness?

This training module provides a structured approach to designing monitoring activities and implementing measurement methods, ensuring performance data is consistent, explainable, and maintainable over time.

Overview

What this module is about

Many organizations struggle with performance data that is inconsistent, difficult to compare, or unreliable, leading to suboptimal decisions and ineffective management systems.

This module addresses these challenges by offering a disciplined foundation for monitoring activities, measurement methods, data quality checks, and measurement registers. Participants will learn when ongoing monitoring is needed, how specific measurements should be defined, how robust data quality controls are applied, and how systematic registers keep data generation reproducible. The focus is on practical application, enabling participants to ensure performance data is consistent, explainable, and maintainable, thereby supporting informed decision-making without delving into complex statistical analysis.

Audience

Who it is for

Management system implementers and coordinators

Executives and department heads accountable for management system performance

Those responsible for processes, policies, assets, risks and controls

Auditors seeking insight into management-side practice, not audit technique

Consultants working on management system design, governance or improvement

Decision supportIs this module for you?

It is a good fit if you…

rely on KPIs or reports but question their reliability.

struggle with inconsistent definitions, sources, or calculations.

experience debates about numbers instead of decisions.

need measurement results that are explainable and repeatable.

want monitoring that holds up over time, not ad-hoc reporting.

It may not be the best fit if you…

already operate a stable, trusted, and consistently applied measurement system.

have no mandate or interest in shaping how data is collected or validated.

need KPI design, performance interpretation, or analytics tooling.

are looking for automation or BI solutions rather than measurement foundations.

What to bring

This module assumes general familiarity with management system concepts and how objectives and KPIs are used in organisational reporting. Participants do not need prior standard-specific clause knowledge.

Helpful background includes:

Basic understanding of processes, roles, and operational reporting routines

Familiarity with common performance measures used in your organisation

Agenda

What is taught

8 parts
01What monitoring and measurement each cover in a management system

How monitoring and measurement complement each other in management systems: monitoring as ongoing observation of status, trends, and conditions, and measurement as the generation of defined quantitative or qualitative results; and where unclear definitions, unclear methods, and weak ownership undermine results

02Turning existing objectives and KPIs into monitoring and measurement tasks

How to translate KPI statements into defined monitoring and measurement activities with minimum specifications covering data source, collection method, calculation logic, and unit or format

03Defining measurement methods and data quality criteria

How to define measurement frequency, responsibilities, and hand-offs, and set data quality criteria with acceptable tolerance and error ranges

04Designing the measurement workflow

How to design a clear workflow from data collection through calculation, validation, and documentation, and manage versioning of definitions and calculations to keep results reproducible

05Data quality checks that work in practice

How to apply practical plausibility, completeness, and consistency checks, and address common issues such as duplicates, partial coverage, stale data, and human error

06Evidence trail and traceability

How to capture just enough evidence so results can be explained later, and maintain traceability from source through calculation to reported value in a lightweight and usable way

07Manual versus automated measurement

How to decide when spreadsheets are acceptable and how to control them, and what to consider when automating measurement with respect to transparency, calculation logic, and version drift

08Building and maintaining a monitoring and measurement register

How to define essential register fields and a maintainable structure, and establish review cycles, ownership, and routines to keep monitoring activities and measurement methods current

Outcomes

Learning outcomes

01

Define suitable measurement methods for different types of performance data and the monitoring activities around them

02

Implement data quality checks to ensure reliability and accuracy of measurement results

03

Establish and maintain registers that keep monitoring and measurement activities consistent and traceable

Distinguish between monitoring activities, measurement methods, and different types of performance data in relation to management system objectives

Develop a systematic approach to data collection and validation for informed decision-making

Identify and address common pitfalls in monitoring and measurement, such as data overload or inconsistent reporting

Materials

The content and the assessment

Written module

The full content in writing, complete in itself. Videos are recorded for parts of it as an alternative way through, and the written module always carries everything.

Exercises

Graded work on the case organisation's own registers: structured answers checked against the encoded case, written answers scored against a rubric traced to it, with a trainer holding the final word on every assessed item.

On completion

The assessed exercises must be passed before the certificate is issued.

Scheduling

No public run of Monitoring & Measurement is scheduled at the moment. Tell us you are interested and we will let you know when the next one opens, or discuss running it in-house.

Module facts

Module ID
HAM-AG-C-13
Domains
Assurance · Controls
Download fact sheet (PDF) →

Case organisation

All modules share one company

Each module enters the company at a particular point in its history and finds it as that history has left it.

Northstar Integrated Services AG is a group headquartered in Zurich, operating in six European countries, with about 1,350 employees at the end of 2025. It provides digital operations platforms and managed operational services to regulated organisations in healthcare, the public sector and industrial services. Founded in 2008 as a field-operations firm serving business customers, it had about twenty-five employees when its first regulated customer, a hospital group, required documented decisions, named accountability and evidence on request. It moved into the platform business in 2016 and in 2024 acquired an operating business in Poland and the Czech Republic, whose legal entity continues inside the group.

Linked registers
Organisation and people, roles, risks, objectives, policies, documents and records, communications, findings, audits and reviews, interested parties, processes

Records, not summaries
The evidence sits in the registers and documents where a real organisation would keep it.

A history
The company has a timeline from 2008, so a structure can be examined before and after it changed.

More than one legal entity
A Swiss parent company and an acquired subsidiary in Poland and the Czech Republic, with customers in several jurisdictions

Why it matters

Judgement develops on material that is incomplete and partly contradictory, as it is in practice. Northstar is built that way on purpose. Because modules enter its history at different points, a governance structure can be seen while it is built, when it is outgrown and when it is rebuilt.

How we teach →

Delivery & dates

How this module reaches you

Delivered live online, combining conceptual framing, discussion, case work and direct interaction with the trainer. In-house and contextualised delivery is available on request.

No public run is scheduled at the moment. Most modules run on request as well as on the public calendar, so tell us the timing you need.

Want this module scheduled?

We will tell you when the next run is scheduled, or run this module in-house with your own case material.

Not sure it is the right module?

Describe your context in a short message and we will tell you honestly.

No obligation

We collect interest in this module and write to you as soon as a run is scheduled.
About Monitoring & Measurement · HAM-AG-C-13

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For your organisation

We run this module privately for your organisation, on your dates. We reply with questions or a first proposal. More about this format
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Decision support

Describe your role and your context in a short message and we will tell you honestly whether this module is the right one, or point you at a better fit.
About Monitoring & Measurement · HAM-AG-C-13

We reply personally. What happens to your message is set out in the privacy policy.