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MURRRAAAAY's avatar

Hey Boomer, really interesting question, do you mean what metrics and data actually matter to us as Creators on Just about? So like profile data or post metrics etc?

Boomer's avatar

Thanks! It's more of a general thought on what data is produced by using platforms (not only Just About), and what we think is actually helpful to members of those platforms.

It could be that you find one metric really helpful, like how much time you spend in one area of the platform, where I might prefer to know the number of posts I make per month.

It's the old talking point when you die, what stat would you like to know about your life?, but with platforms the data is often already somewhere!

I'm just curious to see what people are curious about, or what metrics they would find meaning in.

EveOnlineTutorials's avatar

I am going to start this with a statement:

The second you make an email, add a Facebook or use TikTok or Instagram, you are part of the "Matrix". Your information is out there.

This being said, in terms of metrics and data gathering, as a content creator this is VERY helpful, research into "search terms" of videos, shorts, etc. This is a game changer for us because it enables us to plan accordingly.

I do think stricter laws however need to be enabled, because I think there is a lot more "data" sharing going on that we are aware of, for instance if I look at an article on Facebook, I find similar articles popping up on Twitter, which are not even linked, so why am I suddenly getting these articles?

In terms of JA, if the data gathered helps increase the community and of course, helps setup bounties people will take part in, then I am all for it.

Boomer's avatar

A twist on the Matrix could be that instead of machines using humans for batteries, we're all just walking data packets being scooped up by sinister forces.

Tools to compare search terms are powerful and so helpful, and really help give an insight into what other folk are thinking about.

I find there's an element of self-reflection that comes with using these, as we can't help but to compare our own experiences with what we see in the data, even at a subconscious level.

EveOnlineTutorials's avatar

Not even sure I understand what you just said.

Boomer's avatar

To be honest I was thinking the same thing as I was typing it! 😅

I occasionally used Google Trends in my previous jobs to see what people were actively looking for, and I can't help but think where I fit into the results.

Like in this example, who are the absolute monsters that prefer custard cream biscuits over Jaffa Cakes or Hobnobs!? Go Team Jaffa Cake! 😆

I imagine content creators have to make a difficult decision when they use these tools. Do you adapt to popular trends even if you don't enjoy making the content, or do you miss out on views but stay true to what yourself. These search tools can help with that self reflection.

EveOnlineTutorials's avatar

I don't follow trends, I do what makes me happy as a creator with my team, obviously, I steer our "ship" as it were, but the ultimate decision is mine on what we do, for instance on the Minecraft channel FirestormCarnage Iv'e just uploaded 33 episodes of TD2 to be released a few days ago, because I want to cover that game and then warlords and then Td3.

Boomer's avatar

That's good to hear 🙂 People can get burned out doing something they don't enjoy for too long, so staying true to your interests is so important.

Lanah Tyra's avatar

This is an interesting one. We found that we were just talking about something in the room and adds appeared a couple of hours later for that same thing. So if you have Alexa/Siri/Google assistant on stand-by that can still listen (reason why some companies dealing with sensitive data have (or should have) rules for working from home folks not to have Alexa device in their home office for example.

These adds can also appear based on IP address. My partner was looking gor car batteries and I started to see adds for it as well on my device.

What really bothers me is the adds based on clearly personal data. Like you have to provide birth date on some sites for security purposes which is fair enough.... But since I reached a certain age I keep getting adds aimed at pregnant women. I do not want children for plenty of reasons so seeing these adds is really uncomfortable for me and no matter how many times I block or report them they keep coming back.

Sturmer's avatar

Sadly these systems most of the time are not ideal. For instance, I have a Canon Camera, I sit in Canon groups on Facebook, and I type 'canon' quite frequently in the marketplace search field, yet the platform thinks like 'Oh he likes photography, let's show him private ads with Nikon and Sony lenses'. As a result, 66% of ads are about unrelated tech, which I can't use and am not interested in. It's 2/3 of the content just a waste of everyone's time

Sturmer's avatar

As someone with a background in data science, I've always been captivated by 'data' and its potential. The DIKW hierarchy, which stands for Data, Information, Knowledge, and Wisdom, is a principle I hold in high regard. It's a structured approach that emphasizes the transformation of data into actionable insights. Here's how I see it being pivotal in content creation:

  1. Gather data: Collecting the raw numbers and facts.

  2. Refine into information: Organizing data to make it understandable.

  3. Gain knowledge: Deriving insights and patterns from information.

  4. Apply wisdom: Making informed decisions to guide content strategies.

Each step is crucial, and I often see a common error where there's a jump straight from data to knowledge, bypassing the information stage. This can lead to misguided decisions that are worse than educated guesses. Without the proper refinement of data, we risk falling into the trap of 'false knowledge', which can send us speeding down the wrong path. It's like navigating without a map — you might move fast, but are you sure it's the right direction?

In your experience, what are some of the most valuable metrics you've encountered, and how do you distinguish between actionable insights and mere noise?

Boomer's avatar

DIKW is a great approach! I always liked the saying that *data is information without context.*You can have all the data in the world, but without knowing how it's been processed, how it is structured, and what you intend to do with it it may as well be meaningless!

To be fair though, my data analytics experience is limited to social media and esports 😆

Speaking as a student studying online gaming communities (not as a member of Just About), I'm a particular fan of analysing community newtork maps and sentiment analysis. Seeing how language and sentiment spread throughout social structures is such a powerful way to interpret the health of a community.

It's even better if you can map this over time, as you can pinpoint events and see how they impact what people talk about, how they and others feel about what was said, and what that does to the inter-connectedness of the community.

Sturmer's avatar

I know in ccp games one guy is creating so called friendhip machine formula, measuring meaningful human interactions which help to build long lasting relationship in game and real life. I've been part of that experiment too :)

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