INBOX INSIGHTS: How About Some Good News, Personal Brand, Quantified Self (6/29)
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And Now for Some Good News…
Regardless of your opinions of the current state of the United States, I’m confident that we can agree on something. We’re all experiencing some level of cognitive overload and exhaustion.
If that sounds like you, feel free to skip the newsletter this week. My feelings won’t be hurt. I’ll see you again soon.
If you would like a bit of distraction, stick around and I’ll do my best.
Like me, you may find yourself overwhelmed with bad news these days. Instead of the usual marketing and leadership advice, I figured it was a good time to take a break and focus on good news.
With that, here is a round-up of sites where you can get good news:
Since 1997, millions of people have turned to the Good News Network? as an antidote to the barrage of negativity experienced in the mainstream media. Because of its long history, staying power, and public trust, GNN is #1 on Google for good news.
The website, with its archive of 21,000 positive news stories from around the globe, confirms what people already know–that good news itself is not in short supply; the broadcasting of it is. From our 5-star app, to our new book (And Now, The Good News: 20 Years of Inspiring News Stories), to our weekly Good News Gurus podcast, and Morning Jolt email newsletter, GNN is a daily dose of hope for millions of fans.
Positive News is the magazine for good journalism about good things.
When much of the media is full of doom and gloom, instead Positive News is the first media organization in the world that is dedicated to quality, independent reporting about what’s going right.
We are pioneers of ‘constructive journalism’ – a new approach in the media, which is about rigorous and relevant journalism that is focused on progress, possibility, and solutions. We publish daily online and Positive News magazine is published quarterly in print.
We decided that a news website that focuses on positive and uplifting news stories was one way that we could help to create positive change in the world.
Studies show that negative news can have detrimental effects on mental health, and as 90% of all news media focuses on the negative aspects of life, we wanted to highlight the positive things happening in the world, especially at a time when people are finding that more difficult.
Reading positive news has many beneficial effects, including relieving stress, and improved mental health!
This is not an exhaustive list. But if you need a break from the news that is upsetting you should spend a little time with the good news that is still happening.
I hope to return to our regular newsletter open next week. In the meantime, if you want to talk, hear more good news, or just hang out -?come find me in our free Slack group, Analytics for Marketers.
- Katie Robbert, CEO
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BINGE WATCH & LISTEN
In this episode, Katie and Chris discuss personal branding considerations and challenge the notion of what a personal brand is. Do you have to be the loudest person in the room? How do you build a personal brand without being perceived as arrogant and full of yourself? Tune in to find out!
Last week on So What? The Marketing Analytics and Insights Live show, we looked at how to master job interviews.?Catch the replay here ?
This Thursday at 1 PM Eastern, we’ll be looking at personal branding strategies.?Are you following our YouTube channel? If not, click/tap here to follow us!
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DATA DIARIES
In this week’s Data Diaries, let’s expand on what Katie wrote in the introduction and look at how to analyze the most important dataset of all: our own health. Self-care is not only critical in times of stress, but we have access to more and better data than ever before. In times of stress and strain, keeping an eye on your health data is vital for making sure you take practical, proactive steps to maintain your wellness.
Disclaimer: literally none of us are qualified healthcare professionals. Consult a qualified healthcare professional before making any changes to your health routines.
Depending on the smart devices you own, you may be able to easily export your data from the various apps on your phone and devices. If you can (check the manual) consider using basic data visualization software, anything from Excel or Google Sheets all the way up to R or Python to look at your data.
What should you look for? Generally speaking, like marketing analytics, you want to look at two windows of time - short term, like the last 30 days or so, and long term, like the last year or so. You’re looking for patterns and trends, things that show in general what’s happening with your health.
Here’s an example, using Tableau Desktop for the basic visualization:
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What we see over an 18-month period is a general ebb and flow; some metrics like blood oxygen levels are relatively static (and should be!). Other metrics like resting heart rate are declining over time, which is a good thing. And activity-level measures are generally on the increase, which again is a good thing. Trend lines help illustrate and visually analyze what’s happening in the data.
Next, let’s look at a shorter window of about 6 months.
Drawn down to the day level now, we see a lot more variability in the data. There are some days with lots of activity, and some days without.
Suppose we want to improve our health. Suppose we know stress and bad news are starting to take their toll. Maybe we even see that in recent data, in data that diverges from the long-term trend.
What would we do with this information? How could we take action? The easiest way to summarize it would be to look at a specific day and see if there’s an activity difference on any given day of the week:
There it is. To start making a change, we’d start by doing more on Thursdays. Add an extra walk in. Do some strength training - something there will help move that number up.
None of these analyses are particularly complicated; simple trend lines and summaries.?None of these analyses need to be complicated to make decisions quickly?- and that’s not only a key to health, but also a key to making use of data. Complicated doesn’t mean better; the best analysis is the one you make a decision from.
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