You can measure qualitative feedback using different approaches, such as manual categorization, data visualization, or specialized software. These tools will analyze text from feedback and provide in-depth insights derived from sentiment assessment and categorization. At scale, measuring qualitative feedback helps identify overall sentiment trends across your entire organization and what topics and areas matter the most to your employees.

Explorance MLY is source-agnostic and can analyze any type of written text. Any comments provided through official channels can be assessed using the AI solution, including internal employee surveys, pulse surveys, town hall follow-ups, and feedback shared on third-party sites like Glassdoor, social media platforms, and more.

Employees are more likely to share feedback on third-party websites, which makes a source-agnostic solution so much more valuable. It allows you to capture the authentic voice of your employees beyond the direct feedback you may already be collecting internally.

Explorance’s AI-powered solution distills recommendations from employee comments and prioritizes the most popular topics. For example, it will show how many recommendations were made to change the topic “quality of life” and its importance for employees.

These actionable insights can also be filtered by demographic, such as role, team, or location, and shared with managers so they can only see the recommendations made by their teams.

Explorance MLY analyzes comments at scale, aggregates results, and ranks topics to provide a complete picture of employee sentiment and recommendations. This way, organizations can easily identify what topics have the most negative sentiment across the company and what employees recommend as a solution.

The Explorance solution goes a step further, too, with the ability to detect comments that require immediate attention through customizable alerts. This system allows business leaders to address critical issues at the right time.

Quantitative data offers measurable and objective insights, highlighting trends, while qualitative insights provide context, the reasons behind trends, and valuable recommendations of actions to take. Combining these types of insights gives you a more comprehensive understanding of employee experiences, resulting in more informed decision-making that drives better performance.

Explorance MLY identifies any recommendations made in employees' comments, ties them to specific topics, such as well-being and work/life balance, and highlights the most popular recommendations through intuitive dashboards.

Recommendations can be broken down by demographic, such as role, team, department, and more, to provide tailored insights to every stakeholder inside the organization, empowering them with the confidence to implement change faster.