AI-Assistant
It is based on an open source large language model with 13b parameters, which was trained on examples based on the best Scrum practices and real data from Scrum teams
Help us improve our service, answer a few questions
Daily ceremony
After the completion of the daily ceremony, the team can ask the assistant to sum up the results - and the model will briefly retell what all team members are doing
1 storypoint task selection
The team may ask the assistant to suggest options for the simplest task (1 storypoint task) with subtasks detailed.
This will allow the team to synchronize more efficiently
Estimation ceremony
If the team is having difficulty estimating a task, they can ask an assistant to estimate the task in storypoints. The assistant decomposes the task and evaluates it based on its complexity
Retrospective ceremony
The assistant can find potential solutions to the team's identified problems
Task decomposition
Depending on the size of the task context, the assistant can form subtasks. The system supports refinement mode, and you can ask additional clarifying questions to achieve the perfect answer
Product ideas creation
One of the most useful features we consider is product idea generation - this feature will help you add an important feature that has gone out of focus
Survey creation
The assistant can easily help you quickly create a survey, you only need to generate a short description - the system will formulate the survey itself and provide all the answer options.