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People analytics: move from a chart to a workforce decision

Read the population, coverage, perspective and date before deciding what a workforce chart means.

A workforce chart is useful when it helps someone make a better-informed decision. The first questions are about the evidence: who is represented, what was measured, when it was collected and which conclusions the information can support.

01

Start with the decision, then choose the chart

A team deciding where to focus development needs a different view from a manager examining time allocation or a leadership group comparing future demand. Define the question and the population before choosing a visual.

State the measure in ordinary language. People, responses, assessment records and modelled capacity have different meanings. A chart labelled ‘employees’ must count distinct people, even when each person contributes several competencies or observations.

02

Read coverage alongside the result

A percentage needs a denominator. Eight positive responses among ten respondents is different from eight among a team of twenty invited people. Both views can be useful, but they answer different questions. Keep non-response visible rather than treating it as agreement or disagreement.

Compare groups only with enough context to interpret them. Participation, role mix, period and question wording can affect the result. A visually large difference is a reason to investigate; it does not, on its own, establish a cause.

03

Keep perspectives and scenarios distinct

Employee and manager assessments are separate perspectives. A difference can help a team decide what evidence to review or which expectations to clarify. Averaging the two into a single number can hide the question that matters.

A scenario estimates what could happen under stated assumptions. It is not a measured gain. For time effectiveness or workforce planning, show the assumptions beside the modelled opportunity and identify what would need to change for the scenario to become practical.

04

Finish with an action that can be reviewed

A useful readout names the question, the evidence and a next step: investigate a theme, clarify a requirement, collect missing information or test a change to the work. Give that action an owner and a review point.

EVA Team & Leadership Analytics can be scoped around the client team's questions, with agreed inputs and deliverables. The public analyses use synthetic data to demonstrate how to read the outputs. They do not establish live client integrations or completed workforce actions.

Explore the example

The denominator changes the question

Illustrative team: 20 invited people, 10 respondents, 8 reporting a clear development priority. Non-response is not a negative answer.

80% of respondents

8 of 10 respondents reported a clear priority. This describes the respondents; it does not describe all 20 invited people.

20 distinct invited people · 50% response coverage
Response statePeople
Clear priority reported8
Responded without a clear priority2
No response: perspective unknown10

The illustrated population stays fixed when the denominator changes. No causal or predictive conclusion follows from this example.

Illustrative example. These controls explain the method; they do not access client records or execute workforce actions.

Put it into practice

Put the population and limitations beside the chart, then connect the finding to an owned next step.

Explore the relevant EVA capabilities

Sources & further reading

This guide explains EVA's approach and illustrative methods. Follow the current offering and methodology pages for scope and examples.