Information on various Analytics in Swiftly

Cycle Time

Cycle time is defined here as the difference between the exit time and the corresponding entry time of a card, i.e the time spent in the selected region of the value-stream during that visit. In a normal situation, as cards move forward from left to right, a card will travel through the selected region of […]


The Blocking Analytics view helps you to analyze the most common reasons for blocking the cards by teams. This analytics renders blocking data in a pivot table format where you can slice and dice the constraints in the value-stream by visualizing the aggregated frequency of various blocking reasons against parameters like Queue, Card Type, Size, […]


Time analytics represents the aggregation of time (by various summation methods) of the cards spent on individual columns or sub-columns of the selected region of the value-stream within the Temporal Range. The total time can be measured against on any of the attributes like Name, Card Type, Class Of service, Size, Priority and Value, measure, […]


Adjacency Matrix chart shows the movement of cards from one board column to the next.  You can track if the cards are following the entire process, column by column or not. If columns are skipped, it indicates that workflow is not followed, and probably there is scope for process improvement. Adjacency matrix shows the movement […]


The Dashboard in Swiftly provides you a quick, specific and focused snapshot of key metrics. So, even if you don’t have time to go through the individual charts and gather information, the Dashboard will display key takeaways from each of this analytics and help you evaluate the current workflow. You can further refine the metrics […]


Swiftly’s unique Board Playback feature allows users to play back the board for a past time period and observe patterns of flow. It actually animates a playback of the changes like a deck of cards flying through: card getting created, cards being assigned to people, being pulled and getting archived. Selecting a date range using […]


Time plot of minimum, maximum and average WIP per time period defined by Time unit for the selected region of the value stream. The blue line shows the average WIP and the orange area shows envelope formed by the corresponding maximum and minimum WIP in each time period. The average WIP is calculated as the time-weighted average, which means […]

Flow Efficiency

Flow Efficiency (FE) helps you measure the actual work time against the Lead time. So, the efficiency can be measured by dividing Work Time by the combination of Work Time and Wait Time, and higher is the percentage, better and smoother is the process having less waste in the system and more agility to turn […]

Throughput Forecast

Forecast Distribution Forecast distribution based on Monte-Carlo simulation. The histogram shows the number of runs that result in a given number of cards shown on x-axis. The histogram is normalized and integrated from right to left to generate the cumulative probability distribution P(x ≥ n) shown in black plotted against the y-axis. The tool-tip shows […]


A series of the stacked bar chart showing the capacity over time. Calculation Logic for Capacity Cards exiting the selected region of the value chain within the Temporal Range selected form the basis of capacity analysis. We begin with the set of cards that exit the region. This set is filtered based on the filter selections. Then it […]