Weekdone online software is built around OKR best practices, allowing you to easily connect employee work to company goals and track the progress in real time. We’ve combined OKR best practices with a modern and simple interface for best ease-of-use.
Weekdone Key Benefits:
• Set company, department, team and personal level Objectives and Key Results (OKRs). Link OKRs to high-level Company Objectives to see total progress by all teams and departments. Add and track KPIs.
• Keep OKRs in focus with weekly employee Check-ins. Employees add their weekly activities that help drive OKRs forward. Weekly planning combined with OKRs ensures that company resources go in the right direction.
• See progress on all levels in real time with our beautiful dashboards, and get automatic progress reports to help you manage improvement and growth.
• Facilitate easy communication between employees, teams, and management. In Weekdone, goals, progress, and weekly activities are visible across the board — encourage trust through transparency. Support your team with feedback on their plans and progress.
• Weekdone integrates seamlessly with tools you already use, such as Jira, Asana, Slack, Basecamp, and more. Custom third-party integrations are available via Zapier.
Weekdone simplifies the reporting process, makes goals visible, and increases transparency. Align weekly employee activities with high-level objectives and see how everyone’s work drives the company forward.
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Based on our record, Parse.ly Analytics should be more popular than Weekdone. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Reminds me of https://weekdone.com/ for some reason. It should be a Jira plugin where the team can vote on each of the questions. =). - Source: Hacker News / over 2 years ago
I've also seen parse.ly pop up a bit, I might try it to see if it's any decent. Source: over 1 year ago
Parse.ly | Python Data Engineers (NA) & Machine Learning Engineers (EU) | Remote | Full-Time | https://parse.ly Are you a Python programmer based in North or South America, interested in large-scale data processing (terabytes per month, petabytes in our archive), and making use of massively-parallel computing architectures, such as those behind Spark and Dask? Or, are you a Machine Learning Engineer in Western or... - Source: Hacker News / almost 3 years ago
Would be really useful (not to mention polite) if sources were cited when you do this. For example, I think the early points are from the parse.ly report. People might want to click through for context if you let them. Source: about 3 years ago
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