ESTIMATED READING TIME – 3:30
Learning goals for this activity– Understand why analyzing objectively is important to talent optimization. – Identify how to select which data to analyze first. – Know some examples of data analytics tools that will help you uncover trends and patterns. – Describe the four considerations that help you prioritize which problem to tackle first. – Given some sample evidence, be able to prioritize problems in light of the four considerations.
Why analyzing objectively is important to talent optimization
- Examine the magnitude.
- Determine the relevance.
- Consider the breadth.
- Look for repetition.
1. Examine the magnitude.
Only 22% of companies know what's driving employee disengagement.
-State of Talent Optimization Report
2. Determine the relevance.Relevance is where you’ll ask yourself “Does this problem really matter?” Is a suspected people problem really affecting business outcomes or employee welfare? If not, tackle others first and circle back to this one later. Another aspect of relevance deals with not the number of employees affected but the caliber of those affected. If your high-performing employees alert you to a problem in an engagement survey, prioritize that issue ahead of another that was flagged by your lower performers. High performers who are disengaged are flight risks; work quickly to retain them.
3. Consider the breadth.Breadth refers to how widespread a problem is. An average employee engagement score may not be concerning if it reflects a small percentage of the overall company, but if 90 percent of employees are less engaged than you’d like, this may be a systemic problem. This is something you must prioritize.
4. Look for repetition.Look at your data and try to find repetition. Look for patterns or a theme. Is this a problem that happens again and again? Are low engagement scores more common for newer employees? Does performance slide when a manager’s team grows to have too many direct reports? If so, you’ll want to figure out the “why” and address it in short order.
What Analytic tools
You may quickly find yourself overwhelmed with the volume of people data in your organization. Organizations just starting to analyze people data might choose to use a simple spreadsheet program that includes analysis tools such as Microsoft Excel or Google Sheets in order to aggregate data and find patterns.
Smart organizations typically use more sophisticated analytics programs such as Domo or Tableau or a purpose-built talent optimization platform, which uses advanced algorithms to automate much of your analysis.
No matter what tool you choose, thoughtful analysis will help you surface underlying trends and patterns to help you make better, more data-driven decisions.