REDWOOD CITY, Calif., Sept. 27, 2016 /PRNewswire/ -- BetterWorks, a company that provides enterprise software for easily managing open, collaborative goals and lightweight performance conversations, today announced new innovative feedback and recognition features, powered by machine learning. BetterWorks continues to strengthen its position as the clear leader of the HR 2.0 movement by becoming the first in the market to intelligently prompt feedback and recognition based entirely on the context of an employee's goals, work progress and cross-functional collaboration.
According to OfficeVibe, 65 percent of employees today say they want more feedback at work. Yet, many companies face challenges with feedback and recognition. The value employees bring to their companies often goes unnoticed by managers and peers due to the "daily grind." Effective recognition then gets lost and often leads to biased exclusive rankings for top performers only. Heavyweight, cumbersome recognition processes in place today further exasperate these issues. BetterWorks saw an opportunity to leverage machine learning to keep recognition and feedback frequent, lightweight and relevant to every employee's goal progress.
Since late 2014, the BetterWorks team has been building data infrastructures to develop the employee's "work profile"—called the BetterWorks Work Graph™—informed by everything related to an employee's work. The Work Graph™ collects data on the work and performance relationships of an employee available in the BetterWorks platform, including goal alignment, organization chart, cross-functional goals and teams, comments, data from integrated key results, recognition hashtags and more.
"The first phase of bringing machine learning to work was finding a way to capture and organize data sets in the context of what truly matters to companies and employees," said Dan Simon, Head of Engineering at BetterWorks. "Historically, recognizing employees for a job well done falls to the wayside when managers get lost in the day to day. BetterWorks will now intelligently cue managers to when and why they should be recognizing an employee."
Using the BetterWorks Work Graph™, BetterWorks will notify who should provide feedback and prompt them to give contextual coaching and recognition to the right employee. For example, a significant contribution to a top company goal may warrant recognition from executive leadership, while a contribution to a cross-functional goal would warrant recognition from an employee's peers on the cross-organizational team. With intelligently prompted feedback and contextual coaching, businesses will see higher levels of employee engagement, which can lead to 22 percent higher profitability and 21 percent higher productivity.
BetterWorks will continue to build its Work Graph™ by integrating with data-rich platforms like Google apps, email and Office365. Currently, BetterWorks offers an open API and has platform integrations with Salesforce, JIRA, Slack and more to automate goal progress updates and sync goal data to further enhance the data captured in the Work Graph™.
"Machine learning hasn't fully infiltrated the workforce yet, because few industries have collected robust data on actual workplace priorities and activities," said Kris Duggan, CEO of BetterWorks. "There are an endless number of ways machine learning can be used to make high-performing companies even smarter. We're only beginning to scratch the surface."
BetterWorks® provides enterprise software to easily manage collaborative goals and lightweight performance conversations. Its platform is built on Goal Science® insights to help high-performing companies execute more effectively and engage their teams. The company is headquartered in Redwood City, CA, with an office in New York City, and is backed by Kleiner Perkins Caufield & Byers, Emergence Capital and 8VC. BetterWorks has an experienced team from innovative companies like Amazon, Box, Google, LinkedIn, Palantir, Salesforce and Yammer. To learn more about BetterWorks, visit www.betterworks.com.
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