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IL-2-Analytics
KD
by
KM DS
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Updated May 19, 2022
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Chapters
00:00
Chapter 1
00:16
Chapter 2
01:07
Chapter 3
01:43
Chapter 4
01:46
Chapter 5
01:54
Chapter 6
01:56
Chapter 7
01:57
Chapter 8
02:24
Chapter 9
02:55
Chapter 10
03:00
Chapter 11
03:45
Chapter 12
03:47
Chapter 13
04:39
Chapter 14
04:41
Chapter 15
04:43
Chapter 16
05:19
Chapter 17
06:23
Chapter 18
06:25
Chapter 19
06:29
Chapter 20
07:06
Chapter 21
Audio Transcript
Auto-generated
00:01 - 00:02
Hi, I'm Christina.
00:03 - 00:05
Christina. And this is the Infinite Loop.
00:05 - 00:10
Episode number two on measurement and data.
00:10 - 00:18
Last week I jumped in, got started, uh, put these posts out there off of a vision I had,
00:18 - 00:22
but I need to define what I'm actually trying to measure within this.
00:22 - 00:29
First is just that vision. Does it check out to people want to hear about this topic?
00:29 - 00:35
The next is the pattern I've developed of defining something,
00:36 - 00:38
creating a metaphor for it and then finally showing
00:38 - 00:42
the system which I'm using this video format for
00:42 - 00:48
the next point is who the audiences and my fine tuning to make sure
00:48 - 00:53
that the skill level and industry is right for who I'm speaking to.
00:53 - 00:57
And then finally, what's the platform and format?
00:57 - 01:00
Right now? I'm focused on LinkedIn.
01:00 - 01:05
I'm using a combination of images and video is text good.
01:05 - 01:07
These are the things I've got to answer.
01:09 - 01:14
Here's a spreadsheet screenshot that I took of how, um,
01:14 - 01:19
tracking these for each of the items I'm assessing are measuring.
01:19 - 01:20
I score.
01:20 - 01:24
What's their level of importance in three different areas,
01:24 - 01:29
which is a post brand and growth so I can
01:29 - 01:32
No, What's most important in the data that I'm looking at.
01:33 - 01:37
Then I have a result rating to note my level of confidence in that so I
01:37 - 01:43
can see where my gaps are and plan my next set of post based on that.
01:44 - 01:45
Yeah,
01:45 - 01:50
by the way, I have a pretty high rating in the concept.
01:50 - 01:56
But I put a low rating in the pattern that I developed.
01:56 - 01:58
Gonna have another week of testing that out.
02:00 - 02:06
That was based on some of this data, though. So let me show you what it is.
02:06 - 02:09
You know, when you're doing your data analytics,
02:10 - 02:13
make sure to have specific things that you're looking for,
02:13 - 02:20
but also to be open to seeing patterns that you weren't necessarily anticipating.
02:20 - 02:21
That's really important.
02:21 - 02:26
And when you sort of get new ideas of what you haven't even considered,
02:28 - 02:30
here is a sample of a spreadsheet I put
02:30 - 02:35
together of recent Post where I noted the views,
02:35 - 02:36
the engagement,
02:36 - 02:39
and then I am able to develop an average
02:39 - 02:42
and compare each of those posts to the average.
02:42 - 02:46
I also had some baselines because I've previously posted on LinkedIn,
02:46 - 02:48
which I included.
02:48 - 02:53
Oh, you can't even see that. But it has like an average of five engagement.
02:53 - 02:55
So overall, I'm doing pretty good.
02:57 - 03:00
Then the audience information is when I hadn't
03:00 - 03:03
tracked previously in my personal page before.
03:03 - 03:05
So this is interesting.
03:05 - 03:07
And here the highlights.
03:07 - 03:09
Then I'll show you what the spreadsheet looks like
03:09 - 03:11
so you can see how rudimentary it is.
03:11 - 03:12
Anyone can do it.
03:13 - 03:18
All of this is a free data that's existing within LinkedIn.
03:19 - 03:24
First is Cos widely depends on who engages with the Post.
03:24 - 03:28
So these other two areas I'm starting to see patterns.
03:28 - 03:30
But cos it's just all over the place.
03:31 - 03:36
Position title. There's a lot of sales people who see this.
03:36 - 03:43
So shout out to you all, uh, executive managers and owners.
03:43 - 03:46
Thanks for sticking around here. I appreciate it.
03:48 - 03:54
Finally, there's video. I am not a fan of the LinkedIn Video analytics here.
03:54 - 03:59
It shows, all right, you have your first day and then how does it go over time?
03:59 - 04:03
That's great. I mean, for me, I have a pretty low amount of engagement.
04:03 - 04:05
So this isn't a shocker.
04:06 - 04:09
I get I am not the first day and then trailed off the rest of the week.
04:09 - 04:13
What I really want to know is the people that actually watch
04:13 - 04:16
the video not just see a second of it in their feed.
04:16 - 04:18
How long do they watch it for?
04:18 - 04:20
Because then I can adjust the length and
04:20 - 04:22
I'm not getting that out of this information.
04:22 - 04:26
So when it goes back to that platform question of is linked in the right
04:27 - 04:30
space for me to be posting these, I do question that I go.
04:30 - 04:37
Should this longer-form video be in YouTube and then I can create some
04:37 - 04:42
teaser videos that go on LinkedIn that push people to subscribe over there.
04:45 - 04:48
That leads me to reflections, reflections.
04:49 - 04:53
You know, you can base your reflections on data, and I think that's important,
04:53 - 04:55
although some of that should be in your notes from when you're
04:56 - 05:00
looking through the data analysis, I'm talking more about
05:01 - 05:04
things that you feel that your gut tells you and doing a
05:04 - 05:10
retrospective actually do a retrospective every week for my personal side.
05:10 - 05:16
I check in Dubai accomplish what I wanted that week and did I do the proper self-care
05:17 - 05:19
and I definitely don't give myself a hard time through.
05:19 - 05:21
That process is just learning and reflecting,
05:22 - 05:27
and this is an example of what the infinite loop retrospective is looking
05:27 - 05:31
like so some things that are working right now being open and honest,
05:31 - 05:33
that's important.
05:33 - 05:36
Showing the process, Uh,
05:36 - 05:42
so people like truly seeing the struggles and the transformation that I go through.
05:43 - 05:46
I like crazy a lot.
05:46 - 05:48
It ended up being blurring on my screen,
05:48 - 05:51
so maybe that's a horrible time for me to pitch them.
05:51 - 05:56
But it does help with this last point of lack of intentional focus.
05:56 - 05:58
If I lean on the prezzy
05:59 - 06:00
templates a little bit more,
06:00 - 06:05
it can actually bring a narrative throat flow and
06:05 - 06:08
pace through the presentation in a much cleaner way.
06:08 - 06:10
So I hope you see that
06:11 - 06:14
and you'll notice my hair is back and I
06:14 - 06:18
don't have distracting background like in my office.
06:18 - 06:21
I hope that allows people to focus a little
06:21 - 06:23
bit more and makes the video like polished.
06:23 - 06:24
Let me know
06:26 - 06:30
that. Is it for this week
06:30 - 06:32
next week.
06:32 - 06:34
If you like getting your hands dirty,
06:34 - 06:38
doing some creative things instead of getting into all that
06:38 - 06:41
you know in the weeds of the data,
06:41 - 06:45
it's just being able to daydream and create and go all right.
06:46 - 06:53
What is the biggest place that I could take infinite loop. Where can I go from here?
06:53 - 06:54
What are all the cool things?
06:54 - 06:56
Because then I can start forming some longer-term
06:56 - 07:00
goals and crafting my message even more.
07:01 - 07:02
Thanks for joining me.
07:03 - 07:06
Tell me about what you think of the comments. See you next time.
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