- Published
- 8 October 2026
- Last reviewed
- 8 October 2026
How to use these FAQs
Choose a consistent starting measure, recognise variation and compare an improvement trial fairly.
Select a question to expand its answer. The first answer is open initially; each answer can be opened or closed independently. These are original RDE practical explanations. Any example described as fictional is a teaching scenario.
Common questions
What is a baseline for an improvement trial?
It is a documented starting position used for comparison. Define the process, measure, period and data source so that another person can understand it. In a fictional approval process, the baseline might describe elapsed time for a specified type of request over selected weeks. A single convenient example is unlikely to represent the normal range of work.
Which measure should I choose first?
Choose a measure connected to the problem and a decision you need to make. If the concern is repeated correction, count relevant rework rather than only completed items. Explain what counts and what does not. A clear definition prevents two people from collecting different things under the same label and drawing a misleading comparison.
Can I compare two periods with different workloads?
You can examine them, but do not ignore the differences. Record changes in volume, case complexity, staffing and data collection. Compare similar cases where possible and describe remaining limits. A fictional shorter average after an improvement may reflect simpler requests rather than the change itself. Investigate plausible explanations before attributing the result to the trial.
Does a better average mean the process improved for everyone?
Not necessarily. Examine the spread and relevant groups as well as the average. Some cases may improve while others become slower. Use the decision question to choose meaningful comparisons, and explain small samples or missing data. Do not select only the measure that makes the trial look successful if another important outcome worsened.
How long should I collect baseline data?
There is no universal duration for every process. Consider how often work occurs, relevant cycles, variation and the decision being supported. Record why the chosen period is useful and where it may be unrepresentative. If the available evidence is limited, label the trial accordingly and plan further observation rather than claiming a stable result from too little data.
What should I record during the trial?
Record the change, when it started, who was involved and how the measure was collected. Note unexpected effects and changes outside the trial. Agree when to review, continue, adjust or stop. Keeping this context makes the comparison more credible and helps the team learn even when the trial does not produce the hoped-for result.
Put one answer into practice
Choose the question closest to your current task. Write one action in your own notes, identify the information or permission you need and set a review point. Use the related resources below to develop the task further. No response is submitted or stored by this page.
Sources and scope
The sources below provide relevant context and terminology. The examples, practical suggestions and wording are original RDE teaching material. Apply your organisation’s policies and the guidance relevant to your situation. Reviewed 8 October 2026. Author: Jefferson Otonbara Imgbi.
Cover image: AI-generated illustrative scene created specifically for this resource.