Cluelabs

In Investment Banks & Capital Markets, the real challenge isn’t teaching rules—it’s proving behavior change when stakes are high and minutes matter. This case study shows how one organization combined Advanced Learning Analytics with AI-powered role-play “conduct labs” to turn policy into practice. Simulations mirrored wall-crossing, MNPI handling, and conflict disclosures, while analytics linked interaction data to workflow signals like clearance timing and escalation speed. With targeted nudges, manager huddles, and strong privacy guardrails, teams strengthened conduct, conflict controls, and information-barrier practices across deal teams and support functions. https://lnkd.in/e2Rb4944

In Investment Banks & Capital Markets, the real challenge isn’t teaching rules—it’s proving behavior change when stakes are high and minutes matter. This case study shows how one organization combined Advanced Learning Analytics with AI-powered role-play “conduct labs” to turn policy into practice. Simulations mirrored wall-crossing, MNPI handling, and conflict disclosures, while analytics linked interaction data to workflow signals like clearance timing and escalation speed. With targeted nudges, manager huddles, and strong privacy guardrails, teams strengthened conduct, conflict controls, and information-barrier practices across deal teams and support functions. https://lnkd.in/e2Rb4944

Using the Cluelabs xAPI Learning Record Store, a company unified learner data from courses, simulations and VR into a single LRS, gaining real-time analytics and compliance without depending on an LMS. The free plan let them experiment and scale reporting as their needs grew.

In a corporate safety training program without an LMS, the team turned to the Cluelabs Google Sheets eLearning Widget to record learners' clicks, choices and quiz scores in a connected Google Sheet. By analyzing this data, they gained insight into engagement and performance without deploying a full learning management system.

As the rise of generative AI continues to accelerate, the way HR leaders approach workforce planning must fundamentally evolve. To truly harness AI's potential, we need to shift our focus from evaluating general skills to breaking jobs down into discrete tasks, predicting what can be automated and where humans need to double down. Rather than just making existing processes more efficient, we have a profound opportunity to reimagine how work itself gets done. Ultimately, while AI excels at parsing data, organizations will increasingly depend on very human traits - like masterful storytelling, empathy, and leadership - to translate those insights into a compelling, motivating narrative that drives the business forward.

Uneven discovery calls? See how scenarios + AI feedback boost fact-finding, speed ramp, and strengthen renewals. #Insurance https://lnkd.in/eZz6KSaS

Telecommunications organizations face intense pressure during peak seasons and major service launches, where network reliability and first-time-right installs are critical. By predicting training needs and outcomes, HR and operational leaders can proactively identify teams struggling with declining log quality or activation errors before these issues impact the customer experience. Utilizing advanced analytics, a system spots performance anomalies and automatically recommends targeted microlearning refreshers right in the flow of work. This data-driven approach prevents last-minute service recoveries, ensuring that field technicians and customer care agents execute flawlessly. Ultimately, anticipating skills gaps allows telecom teams to reduce escalations, accelerate installations, and maintain strong customer satisfaction across all service regions.

For multinational organizations, managing employee growth across borders is a growing challenge. Traditional tuition reimbursement models are often rigid, complex to administer globally, and fail to meet the localized educational needs of international teams. Forward-thinking HR leaders are now pivoting towards automated, localized solutions that adapt to regional workforce requirements. By modernizing education benefits, global enterprises can effectively close critical skills gaps at scale, boost retention, and turn learning into a measurable driver of organizational ROI, no matter where their employees are located.

Elearning developers often struggle with limited visibility into how learners actually interact with their courses beyond basic completion. Cluelabs User Flow Analytics solves this "black box" problem by capturing detailed insights into every click, slide visit, and exit point in Storyline and Rise, allowing instructional designers to optimize their training based on real user behavior.

Learn how a major retail organization pinpointed course drop-offs and optimized their compliance training for mobile devices by integrating Cluelabs User Flow Analytics directly into Articulate Storyline—no LMS required.