Blueprint's Project Management Suite Gets a Major Upgrade
I've talked about Dashboard a little before, but today I have some exciting news to share with you.
For those that don't know Dashboard, it's our in-house project management system that we conceived of and built from the ground up. It helps us manage, at a high-level, what's happening, who's doing it, and when it's due. Here's a peek at what Dashboard looks like when you're looking at a specific job:
We recently [aka today] rolled out a whole slew of enhancements aimed at automating our day-to-day and making it easier to find and manage files related to a given project.
As I've also mentioned before we use Box to store our files. We've always set up Box such that each client has their own folder, and each job then has it's own folder. This helps us mirror our setup in Dashboard, but before yesterday, the two were separate.
This meant that each time we created a client or job in Dashboard, we had to go over to Box and create the folder, and for jobs, we have several different structures based on the type of job [a website job has different types of files than say, Google or Facebook ads].
From now on, when we create a client or job in Dashboard, Dashboard accesses Box through their API and creates the folder structure for us.
In addition, we also built on top of Box's tools that allows us to navigate, upload, and download files from our filesystem within Dashboard. When we click into BLU1302 [the job number for Blueprint's site refresh], Dashboard loads up the file system, AND loads the respective job folder…meaning we don't have to navigate through several folders before getting to the content we need.
I call it contextual file management, and it's great.
We're now planning out our next sprint for Dashboard and with each release we focus on those things that end up making huge quality-of-life improvements for all of us.
In the end, we want to sure our tools work for us and not the other way around.
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@fredgatesdesign There is a param for "link" which is what you need. You can actually do a print_r on the result to see all available data.