New HR Tech: Engagedly, Crosschq

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Engagedly, the pioneering provider of AI-powered cloud-based talent management software for Performance, Learning & Development, and Employee Engagement solutions, is thrilled to introduce an innovative enhancement to its suite: the revolutionary “Ask Marissa” feature, transforming how HR leaders and employees access HR resources using an AI chatbot.

Ask Marissa unleashes its potential by hosting a comprehensive array of HR resources. These resources encompass compliance documents, policies, and essential learning materials, all accessible at your employees’ fingertips. Whether in the form of documents, PDFs, or website URLs, your HR resources become a centralized knowledge hub powered by Marissa AI and effortlessly navigated by Ask Marissa.


Crosschq, the world’s first Hiring Intelligence platform purpose-built to increase Quality of Hire, today announced a new DEI enhancement to its TalentWall™ offering. The introduction of enriched diversity data expands the solution’s ability to visualize the entire active and historical candidate pool, enabling companies to track diversity-focused sourcing and hiring initiatives more accurately.

Jake Paul, President of TalentWall, shared, “When it comes to rendering the full picture of ATS analytics, diversity data plays a major role. Until recently, most companies relied solely on voluntary EEOC forms. This approach produced gaps and impacted the efficacy of DEI programs. With this enriched data from TalentWall, Crosschq customers will be able to prioritize their diversity hiring efforts with a 90 percent confidence rate in the diversity of their candidate pipeline.”

Earlier this year, the latest Crosschq Q Report found that diversity hiring, specifically gender and ethnicity, has slowed significantly, potentially undoing years of purposeful progress. To help prevent further erosion and ensure employers can attain their ESG and DEI goals, Crosschq built this newly enriched diversity data set, leveraging third-party resources and artificial intelligence to break down the gender and ethnic makeup of candidate pipelines.

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