We have designed and launched a new leadership 360 assessment. For each assessment, a leader is assessed by their direct reports or other people in their company. We now have 42 leaders that have gone through the process with a total of 620 reviewers.
The leadership tool, called the Startup Culture Index, assesses leaders on 45 behaviors and 7 dimensions. We are looking to understand the correlations within the data to understand which behaviors and dimensions are most predictive of good leadership. Qualitative analysis could also be done on the open-ended comments.
We already have the database in excel with basic correlations, but we need someone to review the data, do multi-variate analysis, and help us make meaning of the dataset. One of the main questions is which 3 behaviors, when taken together, can best predict overall leadership scores.
We will then and use the output to develop a series of articles, which will be published in a major business magazine. We’ll also use the output to improve the next version of the tool, which is already being tested.
A deep understanding of correlations and the ability to do multi-variate analysis is required. We also need you to write conclusions from the research that could be used in publications, so precise writing skills are also needed. It's very important for us to validate our tool and data, ensure that we are testing it correctly, and help us ensure we are solid in our claims. Someone interested in business and leadership would be ideal since this type of project can be a game-changer for someone’s career.
We will have another data set in six months to do another review.