I'm coming clean about the note experiment I was running behind the scenes. #281

First, let me properly thank the creators who have been going along with my recent experiments.

Thank you so much for reading articles that might have seemed trivial.

And thank you for reading them thoroughly and even leaving comments.

This time, this is an article summarizing the experiment I was running behind the scenes.

I'd be happy if you read this while keeping in mind feelings like, "So that was the intention?" or "You should have explained that sooner."

1. What you'll learn in this article

This article is...

"What actions on note change how an article reaches people?"

...a compilation of the records of the experiments I'm conducting on my own note.

Here, I'm mainly looking at the following three things.

• Does follower count affect initial momentum?

• Do collaborations change the flow?

• Does the way an article is read change the reaction?

Note that this is not an article that provides answers, but rather
a blueprint sharing "what hypotheses I have and what I'm testing", so I would appreciate it if you read it with that in mind.

2. Beyond the "phantom numbers" of Views

When writing articles on note, I think Views are something you inevitably end up worrying about.

But lately, I've started to think that just looking at "how can I increase the numbers" isn't really the essence of it.
I'm actually more interested in...

I'm actually more interested in,

What I write that actually reaches the reader.
What I do that sparks reactions and conversations.
What kind of articles truly hold "lasting value."

I'm experimenting with that using my own note.

This article is not a results announcement. It's a log to organize
what hypotheses I have and what I am observing.

First, let me just set the premise.

A note's View count is not simply the number of times it was 'properly read'.

It includes not just the article page, but also the number of times it was displayed on timelines and such. Therefore, looking at Views alone doesn't tell you the true value of the article.

What I want to see this time is not
how to inflate Views with cheap tricks.

Instead, it's about:

• Under what conditions does the reach of an article change?

• What leads to reader reactions and engagement?

• What kind of format generates conversation?

I am observing these things as my own primary information.

3. The experiments I am currently running

There are three main experiments I am running right now.

Experiment 1: How much does follower count relate to an article's initial momentum?

How does the way an article is viewed change between the time when I had few followers and now?

This isn't just about bragging about numbers; it's about seeing
if the initial speed changes for the same type of article when the creator's foundation changes.

[Experiment Article Link ①: Article observing the impact of follower count]

→ An article where I wanted to see the difference in how the initial momentum 'spikes' between the past and now.

Experiment 2: Do collaborations create new trends from the outside?

Collaborations aren't just something you do to ride on someone else's coattails.

Rather, I'm interested in
what kind of reaction occurs when you connect with a context outside of your own.

In other words, what I want to see here is
whether collaborations simply act as traffic funnels, or if they actually create connections between people and articles
.

[Experiment Article Link ②: Collaboration Experiment Article]

→ These are articles that looked at how far I could reach outside my usual circle through collaborations.

Experiment 3: Does the way an article is 'read' affect the quality of the response?

This one is a bit of a quirky experiment.

One is a short article that can be read in one go. The other is
an article where the reading tempo changes based on white space and scroll length.

What I want to see from this difference isn't
'which one wins'.

How do the responses, impressions, and the way conversations continue change depending on how it's read?
That's what I want to see.

[Experiment Article Link ④: Short Text Experiment Article]

[Experiment Article Link ⑤: White Space/Scroll Experiment Article]

→ These are articles that looked at how the way conversations are sparked changes based on differences in completion rates and how people spend time on the page.

4. What I want to see from this experiment

I won't make any definitive statements here.

note's specific scoring criteria are not public, and
I don't know the inner workings of the algorithm.

Therefore, from here on out, I intend to separate

• the observable facts

• my interpretation

and look at them separately as I write these articles.

What I did, and what I wanted to do in this experiment, was not
'to find a cheat code', but rather
to look at the relationship between my writing style and reader reactions without being sloppy about it.

It's easy to just say based on intuition,
'This seems to have worked'.

But just doing that makes it hard to replicate,
and it's not very useful for other people.

So,
I'll break down elements like follower count, collaborations, and how it's read,and look at them one by one.

I believe this in itself is primary information for me.

Instead of just thinly tracing someone else's success story,
I'm recording what happened in my own space, under my own conditions.

I want to properly leave this behind as a collection of experiments.

Above all, if I leave it behind, other creators can do the same thing.
And it could become a catalyst for finding even better ways to do things.
Besides, doesn't that just get you excited?

That's because I believe thisgritty processis what will become strong content in the AI era.

5. Current situation and the role of this article

Right now, as I'm compiling the data,
I'm starting to get a feel for things like, 'Oh, so that's what works.'

I myself amexcited by these unexpected findingsright now.

This article is areveal of my handbefore showing the results.
Before drawing any conclusions, I wanted to share my intentions with everyone.

In other words,
this is not a results article, but an article to organize the design intent of the experiment.

6. Finally

If you read this summary and have thoughts like,

• 'I would experiment like this'

• 'It would probably behave differently on my own note'

• 'You should also look at this condition'

please let me know.

I think the fact that I get reactions like that isthe value of this experimentitself.

Rather than ending with just my own verification,
I want everyone to bring their own primary information and increase our collective knowledge while discussing it.

I believe that building up those efforts is what ultimately leads to increasing the value of a place like note.

I'll release the results section once I've organized the data a bit more.

Next, I plan to separate the
observed facts from the
hypotheses that can be drawn from them and organize them a bit more logically.

Don't get your hopes up, but keep waiting with just a little bit of expectation.

……Well, in the end,
KITAcore is doing something stupid again
—maybe it's best if you just enjoy it with that kind of casual attitude lol

Oh, shoot. I also needed to make sure I wrote articles about the people who participated in the experiment.

Alright then, see you later.

If you thought this article was
interesting
or a little helpful
, I'd be happy if you could react with a like, follow, or comment.

I'm quite fond of reactions like likes and comments.

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