With digital communications replacing in-person channels almost overnight, capturing the most accurate and digestible Experience Data (X-Data) in real-time has never been more important. Workforce Engagement and HCM platforms have been laboring furiously to fill new and pre-existing EX and Engagement gaps with innovative and versatile applications—offering employee “pulse” monitoring, NLP for contextualized open-feedback, AI for predicting retention, and so on. What’s concerning is that even with all of the emphasis on understanding and improving EX with flexible solutions, organizations are still being fed insights based on blunt sentiment and interpreted data that are difficult to trust, let alone action.

From previous and ongoing research, we’ve established that using a Full Spectrum of morphiis for Experience Capture extracts more accurate and actionable data when compared to blunt sentiment scales like Likelihood to Recommend, 5-Star Ratings and other commonly used Likert scales. Our latest analysis demonstrates that a Full Spectrum Morphii scale is also more accurate compared to a Bi-Directional Morphii (a single morphii that captures 2 experience types as polar extremes on a single scale).

The following Employee Experience (EX) and Engagement study set out to understand the difference between the data captured using the two Morphii approaches to Experience Capture in order to inform decisions about how to further implement Morphii within the organization.

Download the Research Paper: “Even the Best Places to Work are Missing Out on Valuable Employee Experience Data.”

While this research confirms that Morphii’s Full Spectrum Experience Capture outperforms its Bi-Directional approach, there’s no denying that Bi-Directional morphiis can elevate the user experience—particularly on smaller screens. This distinction begs careful consideration that takes research design and response technology into account.

Morphii partners have already established an impressive and easily replicated use for Bi-Directional morphiis. Through their mobile applications Bi-Directional morphiis are regularly used to understand a person’s disposition and its intensity before and after an interaction with a particular stimuli (product, service, marketing content, or otherwise) in order to measure users’ improvement or decline as a result of the interaction.

There’s a time and place for everything, right?