Swift Resolution of a Harassment Claim with Riskcovery®
Investigated employee complaint of harassment by supervisor. Utilised Riskcovery and proprietary taxonomies to uncover evidence of inappropriate behavior by the supervisor in question.
A corporate client received a complaint from a former employee claiming that she had been harassed by her supervisor. The complaint alleged that the supervisor would email and text at all hours asking for the employee to meet him for non-work related reasons. There were also allegations that the supervisor was using inappropriate language and offering raises and promotions if she complied with his advances.
In less than three hours, Consilio ingested 37.4 GB of text messages and email into its patented Riskcovery conceptual analytics platform. The communications were sorted into conversations in week-long groups, identifying patterns of communication during and after appropriate work hours. Consilio then applied a proprietary Sexual Harassment Taxonomy that included sample text and concepts to describe inappropriate patterns of behavior. The taxonomy comparison returned 893 documents that were indicative of potential sexual harassment. A report was sent to the client highlighting specific instances of the manager engaging in inappropriate conversations with the former employee, such as sexual jokes, advances, and descriptions of employees unsuitable for the workplace. The analysis uncovered additional inappropriate conversations with other employees who had not come forward – a strong indicator that this was not an isolated incident.
Within two days of the initial complaint, the client was able to determine that there was indeed evidence to support the complaint. The supervisor was let go and the client quickly settled the case, avoiding unnecessary litigation and mitigating future risk of continued harassment. Consilio’s client wanted to understand the situation before moving forward with processing, hosting and a full review of the supervisor’s electronic data. By using Riskcovery, the client was able to get an early indication of the accuracy of the accusations and make an early, data-driven decision based on the facts of the case. What could have taken weeks to uncover in a linear review process was done quickly and efficiently to minimise risk and business impact.