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, Taste should be more popular than Weekdone. It has been mentiond 4 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.
Try taste.io, you cannot find users, but it will suggest you movies that people with similar tastes liked. Source: almost 2 years ago
On a social website (taste.io) I read a comment complaining about ‘bi- and homophobia sprinkled throughout [Elementary]’. The site doesn’t allow to react to comments so I couldn’t ask the person, but their comment got me thinking and I would like to hear people’s opinion: Do you think the show has some problematic moments in regards to lgbt+ representation and if yes, can you provide concrete examples? Source: over 2 years ago
It's John from taste.io, I think it depends on the method you want to use and where you're able to retrieve data to train the model. With a short amount of time and limited resources, you won't have the luxury of creating a collaborative filtering model....content-filtering is possible if you can also be resourceful with APIs + build crawlers. But, the results might be mediocre...meaning, the recommendations... Source: almost 3 years ago
I have been asked to build a recommender system for TV shows at large scale, meaning thousands of users across the entire libraries of services like Netflix, Hulu and Amazon Prime. Something like taste.io but completely focussed on TV shows and not movies. My main concern is the complexity of this project, I have read up on recommender systems, and they seem fairly straightforward, its the scale that scares me. Source: almost 3 years ago
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
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