• Exploratory: Probe facts and basic knowledge.
• Challenge: Interrogate assumptions, conclusions, or interpretations.
• Relational: Make comparisons or contrasts of themes, ideas, or issues.
• Diagnostic: Probe motives or causes.
• Action: Identify an application or an action in personal or work life.

Focusing on enhancing workforce efficiency and productivity to uncover hidden correlations within the HR data. I am curious to see what type of data would be considered as hidden correlations. Authors OLeary & Hunt suggest that the goal of most work-based research is to anticipate or explain trends, solve a problem, or offer a new direction that informs decision-making. Aligning the right data from a performance management system and an applicant tracking system can generate quality-of-hire metrics so that recruiters can recalibrate sourcing strategies to target candidates more likely to succeed on the job. You may want to consider recommending this type of system to the organization that you are researching.

Expecting to discover a positive relationship between employee engagement scores and organizational performance metrics is a great viewpoint and will be essential in your research. Will you compare your findings with other electric vehicle markets that are vast and varied. A few examples of Telsa competitors are Nissan, Toyota Motor, BMW, and Honda. Comparing your findings will give your research an analysis of the strengthens and weakness of the competition. Their competitors have grown over the years and that growth can be compared and analyzed.

The HR metrics is an excellent tool to enhance the implementation of your research on Telsa. The turnover rate is key to developing ideas and suggestions that increase the retention rate on talented and knowledgeable employees. As quoted in Workforce Analytics Report, Attrition and retention are major areas of interest in many companies, says Mr. Ferrar, who leads the analytics practice for IBM Smarter Workforce.