From a business question to a measured outcome
A complete worked route through casual-worker retention, from definitions to a fair pilot and an honest conclusion.
HRM / subject guide
Start with a useful question, evaluate evidence and use data and technology with judgement.
A suggested reading route
Begin with the first guide, or choose the question you are working on. Each guide connects explanation, application, limitations and further reading.
A complete worked route through casual-worker retention, from definitions to a fair pilot and an honest conclusion.
Develop trustworthy reporting, useful analysis and evaluation without treating prediction as the destination.
Use technology to support a defined people problem, with practical checks on data, access and human accountability.
Connect documents, experience and relationships so people can find and apply what colleagues know.
Build a small, observable framework that supports development and fairer decisions rather than vague personality judgements.
Separate resources, activities and deliverables from the changes an initiative is meant to produce.
Connect measures to a strategy across financial, stakeholder, process and learning perspectives.
Calculate a broad workforce-cost ratio and understand why it is not an individual employee valuation.
Follow attraction, recruitment, onboarding, development, performance, retention and exit with consistent definitions.
Look beneath organisation-wide averages while keeping groups meaningful, proportionate and confidential.
Understand probabilities, validation and fairness before using a model to support retention decisions.
Explore onboarding, development and retention scenarios without assigning a price to a person.
A cohort is a group defined by a shared starting event or period, such as joining in a particular quarter.
Trend analysis examines how a measure changes over time.
Benchmarking compares a measure with another period, unit or external reference.
Correlation summarises association between variables.
Regression estimates how an outcome relates to one or more predictors under a specified model.
Survival analysis studies time until a defined event.
Scenario modelling explores what follows from alternative assumptions.
Root-cause analysis is often used as shorthand for investigating why a problem occurred.
A pilot explores feasibility; an impact evaluation asks what changed because of an intervention.
This is a foundation, not complete coverage of every handbook chapter.