The HR value chain & causal chain
Connect HR investment with employee, operational and business outcomes—and test the links.
The people analytics collection
Ten models and frameworks, nine analytical techniques and a practical playbook. Connect people data with fair decisions and outcomes you can evaluate.
Educational examples use invented data. This library does not collect workforce records or make employment decisions.
| Model or framework | The question it helps explore |
|---|---|
| Capability & maturity | Which capability will improve the next decision? |
| HR value chain | How could HR activity change organisational outcomes? |
| Logic model | What resources, activities and changes are connected? |
| Balanced Scorecard | Which measures reflect the strategy? |
| Human capital ROI | What does the financial ratio actually mean? |
| Employee lifecycle | Where in the journey does the problem arise? |
| Workforce planning | What capacity and capability will be needed? |
| Segmentation | Which differences are hidden by the average? |
| Turnover prediction | Can risk be estimated usefully and fairly? |
| Lifetime value | Which assumptions shape the investment case? |
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Connect HR investment with employee, operational and business outcomes—and test the links.
Translate strategy into workforce demand, available capacity, capability gaps and practical options.
Develop trustworthy reporting, useful analysis and evaluation without treating prediction as the destination.
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 complete worked route through casual-worker retention, from definitions to a fair pilot and an honest conclusion.
Cohorts, trends, benchmarks, correlation, regression, survival analysis, scenarios, root-cause investigation and pilot evaluation.
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.