ESP Analytics

Articles on ESP Analytics, the advanced predictive analytics available in SwiftKanban

Activating ESP, Story Map and Risk Framework

Before you start using the ESP analytics, Story Map feature and Risk framework in SwiftKanban, it is important to enable them in the application. Read the following sections to know how to activate them with few easy steps. Activating ESP Analytics Activating Story Map Activating Risk Framework Note: Once you assign the user license to […]

CFD Forecast in ESP

Capacity Distribution Based on the throughput in the system for 28 days, i.e the cards being archived or moved to Done lane during that period, this distribution chart shows the number of days when a particular count of cards has been completed on a daily basis. The Y-axis shows the range of days and the […]

Liquidity in ESP

Transactional Volume The Transactional Volume displays the number of decisions made on the Board. Here, the decision means when a card moves from a wait column to work column, or wait column to another wait column. So, each such move is considered a decision and the chart shows how many such decisions are made on […]

Aging in ESP

Aging Analytics is the combination of a couple of composite charts that works as a  leading indicator for the non-finished cards and provides insight into which items are flowing well and which are stuck even if not formally blocked. Applying Filters You can apply filters based on card attributes and the value stream stages to […]

Flow Efficiency in ESP

Flow Efficiency 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 idea […]

Cycle Time in ESP

Cycle time is defined here as the difference between the exit time and the corresponding entry time of a card, that is 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 […]

Capacity in ESP

It is a series of the stacked bar chart showing the capacity over time based on the historical data of cards exiting the selected region of the value stream. A card that exits forward to the right (down stream), or is archived is considered to have completed the journey through the selected region successfully, and […]

Demand Analytics in ESP

The  Demand analytics focuses on the amount of work being accepted into the Ready column of your Kanban board at different time stamp. The bar chart shows the stacked bar of card types being pulled into the Ready column during the selected period. Applying Filters You can apply filters based on card attributes and the value […]

Cumulative Flow Diagram in ESP

The Cumulative Flow Diagram (CFD) provides a graphical representation of how the work is moving through the system, helping stabilize the system, act upon bottlenecks and control the scope of work. It is a simple, yet very informative tool that depicts the work in progress (WIP), entry rate, exit rate, lead time, throughput, elapsed time, […]

Applying Filters on the ESP Analytics

The Filter is available with every analytics and lets you refine your data either by card attributes or the stages of the Value Stream through which work moves from initiation to completion. The Card Attributes having List of Values (LoVs) are displayed as filtering options in the Filter pane. Moreover, all the stages of your Value Stream appear under […]