Release Notes

We take our users' needs and wishes very seriously, especially when it comes to updating our product. Our new features strive to contribute to your productivity and add extra joy to your daily operations.

Our release notes provide insight into what we’ve been developing, inspired by your needs and wishes. Thank you for your suggestions, they provide immense value to our continued collaborative growth.

To keep you updated every step of the way, we're sharing our product roadmap. Take a peek inside and send us your feedback!

30 Mar, 2020

User-Level Dashboard Configuration

Release notes - User-level dashboard configuration

Previously, all users that shared the same account and had access to the dashboards associated with that account also shared all control and filter selections on the right sidebar. This meant that, if someone changed the filtering criteria that affected certain data, it would affect the visual presentation for the other users accessing the same dashboard, potentially causing confusion.

This will no longer be an issue, as we’ve now moved your dashboard configurations on a user level, rather than a dashboard level. This means that each user can adjust the controls and filters of their dashboards to suit their own needs, without affecting the selection choices of the rest of the users who share the same account.

The configuration includes the selected dashboard which is loaded when you open the app and the date range of the data analyzed, as well as any selections on the right sidebar, plus any enabled/disabled widgets in each chart.

27 Mar, 2020

Sprucing Up the Filtering Options (Part 2)

Release notes - Sprucing up the filtering options (Part 2)

We have reorganized our “Controls” section by splitting it into “Controls” and “Filters” to provide an explicit differentiation between the controls used to configure each chart, and the filters that operate on the set of data that you are analyzing.

On the Home page, you will find the “Controls for all charts” section. The configuration of each of these controls will then affect all the charts on your dashboard.

23 Mar, 2020

CSV Data Loading At Nave

Release notes - CSV data loading at Nave

Nave provides integration with some of the top management tools on the market, including companies such as Jira, Trello, Asana and Azure DevOps. However, our customers often track their data manually, or just want to control the data that they upload to the cloud for security reasons.

That is why we have introduced manual data uploads at Nave through CSV file, to enable you to integrate with our platform regardless of the system that you use to manage your workflow. This will give you the flexibility to anonymize your data, and maintain your privacy.

Follow our guidelines on how to load your data to Nave.

23 Mar, 2020

Lists Filter on the Flow Efficiency Chart

Release notes - Lists filter on the Flow Efficiency Chart

Partaking in an analysis of the flow efficiency on your processes, both as a whole and also separately for its different process states, is a valuable insight to be gained while you are managing your workflow.

We now provide the option to filter out your data by list in the Flow Efficiency Chart. With this update, we enable the calculation of your flow efficiency based on the time that tasks have spent in specific process states only.

17 Mar, 2020

Trello: Fetching Archived Cards From Your Done Lists

Release notes - Trello: fetching archived cards from your Done lists

Often, completed cards are archived on Trello in order to keep the boards clean and organized. That is expected behavior, as having less cards filling up the board both improves the performance of Trello, and enables users to manage their work more efficiently.

Now we fetch all of the archived cards from your ‘Done’ lists, so that you can analyze all of your past data, right from the very beginning of the creation of your board.

Furthermore, once your new dashboard for Trello is created, we locally store all of the activities from completed cards that you have moved to other boards, to provide you with full visibility of your past performance.

16 Mar, 2020

More Details Listed for Your Cards

Release notes - More details listed for your cards

The Cycle Time Breakdown Chart has evolved, and now lists the set of cards completed for the time period that you are investigating. This addition is designed to facilitate a more granular analysis of the process states with the longest cycle times, that are causing bottlenecks in your system.

Our configuration enables you to assign different colors to the bars and dots on the charts by label or any custom fields you support. Now, you can also see the colored property into the details of your cards to make it easier to perform further analysis. The new property is added into your Cycle Time Scatterplot, Cycle Time Breakdown Chart, Cycle Time Histogram, Aging Chart, Throughput Run Chart and Flow Efficiency Chart.

16 Mar, 2020

New User Avatars

Release notes - New user avatars

We have now introduced avatars for all users without a personalised image. Now, a personal user avatar is generated for each user, based on their name or email address. These avatars are used in the Profile image, Users page and Members sections on the right sidebar. On the filters section, we have also added a special * character for the 'cards without members' option.

6 Mar, 2020

Saving Filters Visualization

Release notes - Saving filters visualization

The “Controls” sidebar on the right of your screen contains all the filters and dashboard configuration options for the chart you are currently working on. It exposes your lists, members, labels, custom fields and other chart-specific controls to help you prepare a more detailed analysis of your data.

The more values included in each filter option, the longer the sidebar, which may create some difficulty in using the options placed toward the bottom of the list.

With this update, closed sections will remain that way, until you decide to open them again, making for a more approachable and targeted viewing experience.

2 Mar, 2020

Introducing the WIP Average Age Widget

Release notes - Introducing the WIP Average Age widget

The average age of work in progress shows the time average your tasks spend ‘in progress’ on a daily basis. The widget displays the average age of your current tasks in progress and a trend of how your average age is moving over time - the line chart represents the average age for your work in progress for each day of the selected time range.

Average age of WIP is the same as cycle time but cycle time is measured for completed tasks only, while the age of a task is measured for tasks still in progress. It points to the time a work item has already spent in the process. Essentially, it is the period of time from when a task entered the workflow until now.

Hovering your mouse over the line chart will reveal the average age of WIP on every single day of the selected period.

By filtering using the list section, you can see the average age of WIP per process state.

We have moved the WIP widget from the Cumulative Flow Diagram to the Aging chart to enable you to track the stability of your system. Based on Little’s law, as long as your WIP is consistent and the average age of WIP is consistent, you are maintaining a stable workflow.

2 Mar, 2020

Sprucing Up the Filtering Options

Release notes - Optimizing filtering system

We optimized our filtering system by deprecating the 'Controls for all charts' section. In this version, every chart works with its own set of filters that don't affect any other chart.

The home page will only display the data from your Doing and Done states. The goal is to keep the focus on the performance of your workflow.

Controls like “Exclude weekends”, “Cycle time precision”, “Date format” and the date picker which can be found on the home page still function on a global level and will change the configuration throughout all your charts.

As opposed to the home page, the sidebar in each chart contains the lists from your To Do state, deselected by default, to give you the flexibility to analyse the data in your backlogs, before the actual work has been started.

Deprecating the ‘Controls for all charts’ concept improves the overall performance of the platform while filtering out data, based on the selected criteria within the current data view.