Presently, data and analytics are significantly enabling organizations to make better business decisions drive customer growth, improve productivity, and manage risk. Although enterprises are encouraging Human Resource (HR) departments to make their decision-making process more data driven, a prominent challenge that persists in the HR sector is the identification of data to be captured and the ways to model that data. In such a business scenario, Glint, a firm based in Redwood City, CA is leveraging real time people data to provide managers a holistic view of the organization’s health, the insight to predict problems, and direction to take action. “Only the right people see the right survey data, and employees can choose to fill those out or not. We do get average response rates of 85 percent though,” says Jim Barnett, CEO, and Co-founder, Glint.
The company’s Glint platform uses short pulse surveys to deliver employee feedback to managers and executives in real time via a simple user interface. The pulses gather powerful data in a short span and with the help of interactive dashboard displays a holistic visual breakdown of an entire organization’s health. Besides, Glint’s ready-to-run reports instantly offer clients engagement results and presentation-ready visualization. The platform also facilitates the HR, leaders, and managers to view the engagement results specific to their roles, giving them quick visibility into response rates, scores, trends, and alerts. This enables them to seamlessly identify the areas that need attention and allows them to drill down deep into the data as per their requirements. The visual reports compare engagement levels across employee population—from team to tenure, geography to gender on demand. Alongside, it also maps the strength and opportunities of the users’ organization with the help of Glint Heat Maps.
Glint helps organizations to improve their employee engagement by linking driver score to engagement levels as well as by comparing the customers’ performance with external benchmarks, internal company averages and its own past performance. Glint’s Artificial Intelligence (AI) for HR technology utilizes predictive analytics and machine learning to generate real-time alerts for employee populations, which are at risk of increased attrition, decreased performance, or changes to other Key Performance Indicators (KPIs).
Only the right people see the right
survey data, and employees can
choose to fill those out or not
This equips customers to easily spot anomalies in data before they impact employee engagement.
The platform’s Comment Analytics feature leverages Natural Language Processing (NLP) to analyze numerous comments, surface key themes, relative sentiments, and representative snippets. The user also has the ability to filter, search or isolate prescriptive comments and save a lot of time.
In an instance, Glint helped FICO, a data analytics software company, to move to a better employee engagement platform by using their pulse surveys, greatly reducing the cycle time from measurement to analysis. As the client’s company grew, often through acquisition, the employee base became more geographically dispersed, and it became difficult to maintain cohesiveness. Glint’s analytics, dashboards, and role-based permissions empowered FICO’s managers with a clear view into their employee engagement challenges and gave those tools to correct course when required. This also helped the customer to analyze granular segments of employee data and create specific response plans. It enabled them to save cost and explore additional data sets with no additional charge.
Glint has recently added two new modules, Employee Lifecycle and Manager 180 to improve their employee engagement and consolidate traditionally siloed employee feedback systems into one intuitive, real-time experience for both managers and HR teams. Moving ahead, the company will continue to enhance their Glint platform to improve employee engagement.