good interview take a prohibitively long time to analyse manually. We therefore apply computers and algorithms. Our background is building inductive models for clients based on their data and the exact questions that they’ve asked. In this instance however we’ve applied our new ‘Workometry Standard’ service to code the data in an automated manner, then apply a set of automated analyses on the results. It’s a fair statement that the greatest marginal time requirement here was writing this article based on the results. The purpose of conducting this analysis was therefore to show what is possible to be inferred by a relatively quick, automated analysis of feedback. The Glassdoor answers are remarkably similar in terms of length and content to those we’d expect to see from a typical employee survey. I hope that this analysis and write-up gives you some inspiration on the sort of insight you can infer from your employee feedback. It’s certainly not an all-encompassing analysis nor have we shown all we can extract from this data.
