Once you understand the what, why, and who of HR analytics, it’s important to apply a basic framework to your HR analytics projects.
A framework helps enhance clarity and consistency of a project’s progression and next steps. Each project, problem, and solution will always be unique, but developing an overall process will help guide you to the information you’re seeking.
Here are 8 steps to follow for any people analytics project:
When beginning an HR data analytics project, the first step is to understand your purpose. Ask yourself the following questions:
After you have a strong understanding of the project, you should identify the data and sources of data needed to carry out the project. Here are some questions to consider:
What types of data do we need?
Is the data structured or unstructured?
Does the data already exist, or does new data need to be created?
What needs to be done to gather the necessary data?
After identifying the kinds and sources of data you need, you can begin collecting the data by:
Before you can analyze your dataset, it needs to be cleaned. Scan your dataset for:
This is the step people typically think of when they see “HR Analytics.” Here are three tips for analyzing your data:
Analysis is about creating results from data, and extraction is about determining which results are meaningful. Ask yourself the following questions:
After you’ve gone through the previous steps, now is the time to share what you’ve found. This step depends entirely on the project and your role. You might communicate insights:
No matter who you present to, make sure your points are clear, concise, explainable, and rely on visuals whenever possible.
HR analytics projects never really end because new data is always being created. As such, an evaluation schedule should be created to assess:
The Project: What went well with this project? What didn’t go well?
Follow-through: Were any plans or strategies put into action?
Trends: Have employee behaviors or perceptions changed? What do the trends look like at 3, 6, 12 months after your project?
Impact: What impact did your project have on employees
Want to make your business better through data-driven insights? Download our ebook, The Beginner’s Guide to HR Analytics.