{"version":"1.0","type":"card","id":"ac084e9a-d2f5-4367-b488-f428e8337e1d","url":"https://stacklist.com/card/ac084e9a-d2f5-4367-b488-f428e8337e1d","title":"Luppa ","source_url":"https://luppa.app/","note":"Gain in-depth employee satisfaction data to increase employee engagement & retention. Make a positive shift in your corporate culture.\n","image":{"url":"https://ucarecdn.com/cd97308f-5aca-46b8-aedb-515763e0d3f1/-/crop/629x629/223,223/-/preview/","alt":"Luppa ","width":1200,"height":630},"stack":{"id":"4c8ff08d-c2a6-4190-a5fc-932256f743a8","title":"From Croatia to the World: Top Startups at CES","url":"https://stacklist.com/c/technology/stack/4c8ff08d-c2a6-4190-a5fc-932256f743a8"},"created_at":"2025-03-03T23:48:16.941Z","updated_at":null,"aco":{"summary":"Luppa is a digital tool that helps organizations collect data on employee satisfaction and engagement. It uses powerful analytics and AI to create action plans to foster a positive work environment, reduce turnover, and improve performance.  The website highlights features such as pulse and deep dive surveys, predictive analytics, enterprise-ready features, and a focus on local presence and science-based insights. It also emphasizes Luppa's ability to deliver real-time insights and automatic data collection. Luppa is marketed towards HR professionals, management, and C-level executives, showcasing the benefits of using the tool for various organizational goals.  Testimonials from satisfied users are featured to highlight Luppa's effectiveness.  \n","tags":[],"key_entities":[],"classification":null,"language":null,"confidence":null,"provenance":null,"token_counts":{"approximate":200},"content_hash":null,"acp_version":"0.2","body_available":false,"body_tokens":0,"visibility":"public","agent_accessible":true,"status":"final"},"_links":{"self":"/api/public/card/ac084e9a-d2f5-4367-b488-f428e8337e1d.json","html":"https://stacklist.com/card/ac084e9a-d2f5-4367-b488-f428e8337e1d","md":"/api/public/card/ac084e9a-d2f5-4367-b488-f428e8337e1d.md","stack_json":"/api/public/stack/4c8ff08d-c2a6-4190-a5fc-932256f743a8.json"}}