User Profile
c_hutchinson
MicrosoftJoined 3 years ago
User Widgets
Recent Discussions
What is Viva Glint's Narrative Intelligence?
As a Sr. People Science Consultant, Viva Glint's Narrative Intelligence is an incredibly useful capability within the platform that enables me, as well as other PSCs and clients alike, to better understand the often times daunting and mountainous amounts of qualitative feedback left by survey participants. Viva Glint’s text analytics, trademarked Narrative Intelligence, helps to quickly make sense of large amounts of open-ended feedback. Viva Glint synthesizes thousands of comments, surfacing key themes, relative sentiment, and representative comments, saving your team days or weeks of coding and analysis. Comments can be filtered, searched, flagged, tagged, and bookmarked for quick reference and deeper understanding of engagement drivers. ‘AI-for-HR’ technology automatically isolates prescriptive comments so you can zero in on employee suggestions tied to specific survey measures and comment topics. In addition to Narrative Intelligence, Viva Glint's Copilot feature will leverage AI capabilities and add an additional layer of qualitative analysis to synthesize commentary feedback and derive key themes. How have you best leveraged the Narrative Intelligence features to better understand your employee's qualitative feedback? Additionally, what have you done to ensure employees feel comfortable leaving robust commentary feedback so you can best utilize the Narrative Intelligence features?Why does Viva Glint recommend only asking one item per domain/theme/dimension?
One of Viva Glint's survey design goals is to keep measurement short and easy so that teams can be pulsed more frequently (agile) with sustained high participation rates. This means that we prefer to use single-item measures instead of multiple-item measures to avoid the survey becoming too cumbersome for employees to provide their thoughtful and candid feedback. For most practical purposes, well-constructed single-item measures are as good as multiple-item measures when it comes to utility and reliability (i.e. they predict future behavioral outcomes, and they do so consistently over time). This approach can reduce the survey length by 3-4x, relative to more “traditional” engagement surveying methods, thereby significantly improving the employee experience and survey completion rates. We generally choose a single-item measure over a multi-item composite/index if the single-item captures over 80% of the variance and information content in the multiple item measure. As a Sr. People Science Consultant, I'm always having conversations with my clients around best practices for survey design, especially as they seek to be more agile in their survey approach. Keeping their surveys shorter and using single item measures is a key element in doing so, however, convincing key stakeholders and business leaders to adopt this approach may warrant additional considerations. What are some ways in which you've convinced leadership teams and/or key decision makers to adopt a more agile surveying approach by using single item measures?What is a driver?
Drivers are the potential causal factors that affect key outcome measures such as, but not limited to, overall employee engagement, a sense of belonging, perceptions of a great workplace culture as well as an employee’s intent to stay with their company. Viva Glint has carefully selected drivers, rooted in current research on contributing factors most closely affecting engagement, both for their breadth and relevance in the modern workplace. It’s important to also understand that not all drivers have the same impact on engagement. Career growth may be a driver for one team while work-life balance is a driver for another, based on the unique composition of the team and work environment. Knowing which drivers have a high and very high impact for your group allows you to focus on improving the scores of the drivers that matter most. This can, of course, change depending on the team, location, tenure, and even across different survey administrations. Help discover what drives engagement at your organization: Viva Glint’s Driver Impact report quickly identifies the engagement dynamics of your organization, helping you focus on areas with the highest ROI Filter and drill down to reveal the unique engagement profiles of specific employee populations and key demographics Toggle between outcomes to discover how drivers impact business outcomes like retention, performance, culture, and customer satisfaction Change between internal and external comparisons to view strengths and opportunities through various lenses As a Sr. People Science Consultant, understanding key drivers impacting critical business outcomes like engagement, belonging and an organization's culture is a primary topic of discussion as I present survey findings to my clients. These drivers are broken out by key Strengths and relative Opportunities which I then link to specific action planning strategies in efforts to help my clients understand a clear path forward to address the survey feedback. Within your organization, what are some of the key drivers impacting your employee's overall engagement? (Feel free to provide your company's industry)What makes a driver 'High Impact' vs. 'Very High Impact'?
As a quick reminder, drivers are potential causal factors that affect outcome measures such as, but not limited to, overall employee engagement, a sense of belonging as well as perceptions of a great workplace culture. In determining how we differentiate between Low, Medium, High and Very High driver impact, we use the driver's Pearson r correlation tied to the intended outcome measure. Drivers are plotted on the X-Axis and those with less than a .20 Pearson r are considered “Low” impact drivers. Between .20 and less than .40 are “Medium” impact, between .40 and less than .60 are “High”, and .60 and greater are “Very High”. See the table below for additional detail. Minimum Correlation Maximum Correlation Low 0 < 0.2 Medium 0.2 < 0.4 High 0.4 < 0.6 Very High 0.6 1.0 As People Science consultants, we're always leveraging the Driver Impact report to help us understand how different survey measures impact key outcomes across different populations and tying that back to action taking strategies. We'd love to hear from our community...In what ways have you utilized Viva Glint's Driver Impact report to support key findings in your surveys?
Groups
Viva Manufacturing Cohort
Viva Manufacturing Cohort: This group is intended for Viva Manufacturing customers to collaborate, share best practices and create a safe space to ask questions.Recent Blog Articles
No content to show