Enforcement Performance Metric
During 2025, the Inspectorate developed and tested a new metric, to measure company performance in respect of their obligations contained within legal instruments. The metric assists the Inspectorate in directing its limited enforcement resource to those companies that require the most attention, as well as publicly demonstrating company performance.
Every legal instrument served is scored, using a five by five matrix, which has a set of rules attached, which inspectors follow for consistency.
The first score, assigned when the legal instrument is created, is the seriousness score. This score reflects the origins of the legal instruments and ranges from voluntary programmes, through routine enforcement action, to escalated and transformation enforcement. The criteria are listed in table 1.
| Seriousness | Score |
| Escalated enforcement – generally, enforcement orders but other forms too. | 5 |
| Further (additional) enforcement – “child” legal instruments, transformation legal instruments. | 4 |
| Routine enforcement (realised breaches) – e.g. compliance assessments, events, regulation 26 breaches, data driven, consumer complaints. | 3 |
| Routine enforcement (potential breaches) – e.g. likely to breach, risk of breach, audit findings, risk assessments. | 2 |
| Proactive schemes – e.g. AMP schemes, voluntary undertakings. | 1 |
Table 1 – Seriousness score
The second score is a Red, Amber, Green (RAG) (expanded to include Amber + and Red +) status of the progress of the legal instrument. This score is assigned when the legal instrument is first created but is changed as required throughout its lifetime based on the progress of delivery. The criteria are listed in table 2.
| Status | Rules |
| Red + (5) |
|
| Red (4) |
|
| Amber + (3) |
|
| Amber (2) |
|
| Green (1) |
|
Table 2 – RAG scores assigned to legal instruments
There is an acceptance that risk will always exist and the bigger the company (bigger catchment, more water treatment, more treated water storage, greater length of mains and more connections), the higher the residual risk.
Total scores for each company are compared to those of the whole sector and normalised based on the proportion of overall population supplied to give an expected score for each company. The expected scores are then plotted against actual scores, for each company, using a linear regression. The upper 95% confidence value line is added, to highlight where there are statistical outliers, producing the graph which is published in the Chief Inspectors Report.
