OPS.21:4.3 - Choose the comparison before choosing the number
Use the comparison whose meaning fits the aim and available evidence.
| Comparison | When it helps | What must remain visible |
|---|---|---|
| An absolute result by a relevant date | A known population, recipient need or required service gives the number a useful meaning. | Eligibility, quality, timing and the work needed to reach the result. |
| A range or a qualified milestone | Precision would exceed the available knowledge, or progress is better demonstrated through a usable contribution. | What counts as adequate progress, what uncertainty remains and what decision follows each material outcome. |
| A ratio such as accepted work per usable hour | The relation between input and output answers the operating question. | Definitions of both quantities, omitted quality and shifted work; a ratio is not a comparison with peers. |
| Comparison with other operations | Their work, constraints and receiving results are sufficiently comparable for the intended inference. | Differences in mix, assets, starting conditions, shared support and observation coverage that could reverse that inference. |
| Improvement from a relevant earlier condition | Absolute peer levels would conceal important structural differences. | The original basis and changes in it. A low starting point can make improvement easier; percentages alone do not equalize opportunities. |
| Observation without a numerical improvement target | A condition is already adequate, the work is exploratory, or a quota would distort the useful contribution. | The condition or contribution to examine and the event that calls for a response. |
Challenge a proposed comparison with an affected participant and one plausible unlike case. If a league table cannot distinguish superior work from easier conditions, use it to ask a learning question or narrow the comparison; do not use it to allocate credit. A complex adjustment is worthwhile only if its grounds are adequate and it can change the decision. An unexplained adjustment can hide the same unfairness as the raw number.