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UKG Ready

UKG Ready

UKG INC.

Business免费v1.104.5
App Store
评分

4.4

47,346 条评分

星级

★★★★☆

最近更新

2026年3月27日

发布日期

2017年12月17日

更新内容

v1.104.5

Some great enhancements and bug fixes have been released to provide you with a better mobile experience, including: Improved data tables on mobile — Grid tables now display in a mobile-optimized layout, making it easier to view and interact with data on smaller screens.

应用信息

开发者
UKG INC.
分类
Business
价格
免费
版本
1.104.5
App ID
1231506825

简介

The UKG Ready™ mobile app (formerly known as Kronos Workforce Ready) connects you anytime, anywhere to all your HR, payroll, talent, and time needs. With the information you need at your fingertips, you can accomplish a variety of tasks with ease when it’s most convenient for you, helping you succeed in your work and balance your life. Whether you’re on a job site, on the road, at home, or simply on the move, you can get to what you need right from your mobile device. Clock in or out of a shift, check your pay, request time off, enroll in benefits, or handle any other similar tasks in moments. If you’re a manager, we’ve got you covered too. Adjust your team’s schedule to fill gaps, work on performance reviews, handle approvals, or even uncover trends like who’s likely to leave or how your team is feeling about their work so you can make a difference for them and your business. It’s all possible on the go with the Ready mobile app. Connect with us today from your device to get started. Need help with the app? Check out our resource page: https://community.kronos.com/s/wfr-mobile Notes: • To use the UKG Ready mobile app, your organization must enable access and provide you with your 7-digit company shortname. • Your organization determines which features you can access. Contact your manager or company administrator with any questions about logging in, what features are available to you, or connection issues.

下载量预测

专业 · 预览

预估总下载量

6.3M4.7M9.5M
保守估计乐观估计

46K

低 / 月

62K

预估 / 月

93K

高 / 月

基于47,346 条评分
假设评分率0.8%
应用年龄102 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。