Make Data-Driven Decisions
with Nave Integration

This is a key visualization in Kanban and Agile methodologies. A CFD shows the amount of work in different stages of a workflow over time. It helps in identifying bottlenecks and understanding the flow of work, enabling teams to manage their work in progress effectively.

This chart  uses the cycle times of all tasks completed within a specific time frame to give you a probabilistic task completion forecast.

This chart displays the total time that you needed to complete your work split by process state.

This chart shows the frequency distribution of the completion times of the tasks in your workflow. It also uses past cycle time data to forecast likely delivery times.

This visualization helps teams see how long items have been in progress and identify items that may be stuck or taking longer than expected. It's essential for managing work in progress and ensuring a smooth flow.

Throughput, the number of items delivered in a given time period, is visualized in this chart. It's useful for tracking team performance over time and forecasting future productivity based on historical data.

This chart shows the shape of your throughput frequency distribution. Additionally, you can assess your team performance by evaluating the average number of tasks that were completed in a day, week or month.

This chart visualizes the ratio of active working time to total time taken for an item, helping teams identify and reduce wait times in their process.

This chart enables you to evaluate your due date performance by comparing the time between the start date and due date of a task with the actual time it took to deliver your work.

Nave uses Monte Carlo simulations to forecast likely completion dates for projects or sets of work items. This probabilistic approach helps in setting realistic expectations and planning based on historical data.