Do you ever overthink or overanalyze to the point where you stop making decisions and taking action? Where you’re afraid that the choice you’re about to make isn’t the BEST choice, so you wait it out a little more, and maybe research a little more, and maybe gather together more data … just so you can be SURE? That’s called analysis paralysis.
Debunking the myths of being data driven and being successful can set you free.
TL;DR? Pairing OBS Studio with Zoom can give you a lightweight way to both conduct a live, virtual event (like a training) and give you the recording you need to create high-quality, on-demand content for asynchronous viewers later on. It’s an even lighter lift if the event you’re holding involves content that doesn’t need to shift as much as it does with synchronous to asynchronous training.
TL;DR? Schedule some time to review the end results
of the processes you’ve “improved,” and revise your current-day SOPs to
incorporate back in anything you might have inadvertently “incrementally
improved” out of your process along the way. Then again, you might just have an
opportunity to pat yourself on the back for actually improving, and continue
on! As a case study in this article, I draw from my own video production
I’m a big believer in making incremental improvements, but
sometimes an incremental change is actually an incremental deterioration.
If you’ve ever targeted an email marketing campaign to a
specific demographic, assigned a category to your blog post, or chosen a
hashtag for your social post, you’ve used data classification. Classification
is basically the process of chunking up or organizing your data, into different
groups or under different labels, so that you can quickly isolate and bring
together all of the things that belong to that group, so that you can do
something with that group:
- monitor it as part of a metric,
- investigate it and compare it to other groups,
- work with it, like with targeted marketing campaigns, or
- plan with it.
In this post, I’ll discuss the problems that arise from unclassified
or improperly classified data, and give some pointers on how to create and apply
your own classifications.
In order to effectively close the gap between where you are now and where you want to be, you need to know that the gap exists and how big or small it is. One way to do this is with a reporting tool called a scorecard. Much like the checked and unchecked items on a to-do list, a scorecard gives you a snapshot of the gap between where are you now and a target, where the target can be a growth goal you’ve set for yourself, or a projection of where you think you’ll be by a certain date, all things considered.
We all know that there are only so many minutes in a day, and that goals like being more productive and effective hinge on things like better time management, that is, working smarter not harder. This is particularly true if you think you’ve got a pretty standard process in place. In this post, I’m going to demonstrate a visualization tool called a box and whisker plot. This tool will help you determine how long you can typically expect your standard process to take, and how to spot when there’s enough variability to say that it’s time to reexamine what you’re doing, so you can:
- streamline a process for yourself, or
- identify when it’s time to schedule a training or other intervention for your staff.
If you can find the middle thing in a list, you can do this time analysis.
TL;DR? Big data knows what questions people have, and you can capitalize on that to generate an endless list of answer-focused content ideas that draw from and showcase your experience, knowledge, and expertise. Scroll down to the section titled ‘Bringing it together’ for a quick list of the steps. Scroll back up for the nuance.
There’s nothing new under the sun, so what could you possibly have to offer the world that hasn’t been addressed before?
I’m always a big advocate of asking people for help when I get stuck, and, as it turns out, people are telling you what they want you to talk to them about all of the time. If you’re systematic about how you listen, you’ll build up quite a data store to flip through the next time you’re missing your muse and staring down a blank page and a deadline.
You want data insights at a glance, but it’s hard to digest and process a large volume of data, and you’re creating and collecting more data all of the time. You’re suffering from DRIP: you’re data rich but information poor. To get information, you turn to dashboards, but, if you don’t design them correctly, you can become dashboard rich but information poor, what I’ll call DRIP 2.0.
In this post, I’ll talk through 3 steps, with guides, for designing dashboards to generate insights for business decisions while all forms of DRIP.
TL;DR? You can grow your YouTube channel without falling prey to cheap clickbait tricks and other “dark side” habits; the secret is providing value with your content and being strategic with your content-packaging SOPs. Scroll down to the Video Packaging Essentials Checklist for some content packaging points for your own YouTube upload checklist.
How do you choose your next step? You’d like to do more of what’s working, but sometimes you’re not sure what parts of what you’re doing are working, or whether that pivot you’re considering might resonate with your target market, so you’re not sure what you should do more of or where to focus your efforts. In this post, I demonstrate three ways to use surveys to quickly get the data you need to make an informed next step.