My Deep Guide: script patterns by public-view group
@mydeepguide
My Deep Guide's higher-viewed and lower-viewed uploads open differently, and this page shows the difference in their own words. Its widest-travelling upload here reached about 5.4× the channel median. We compared 3 recurring patterns from the higher-view group against 3 from the lower-view group, quoted verbatim. This is an observational read of the scripts, not a measurement of retention.
What this page is
A risk map derived from the words in My Deep Guide's public scripts. The uploads are split into groups by public view count against the channel's own median, and the analyzer reports the script patterns that recur in each group, quoted verbatim. It is not a measurement of this channel's audience retention, which is private to the channel owner, and it does not establish that any pattern caused any view count.
Script difference to review
The channel's underperforming videos consistently open with generic Q and A greetings and reading long viewer comments, whereas the overperforming videos immediately introduce a specific, highly anticipated hardware release or address a major design concern. This suggests that viewers may lose interest when the script starts with community housekeeping rather than direct product analysis.
My Deep Guide has 68.1K subscribers and a median of 5.4K views across its recent long-form uploads. Its highest-viewed video in this sample did about 5.4× that median. This breakdown compares recurring transcript patterns in the channel-relative public-view groups, each backed by a verbatim quote. The comparison is observational and does not reveal private retention or establish what caused the view counts. The lower-view group has a cumulative gap of 16K public views below the channel median. That is descriptive arithmetic, not an estimate of views lost because of a script pattern.
Patterns in the higher-public-view group
Introduces a highly anticipated hardware release immediately
5.4× channel median“After almost six long years since reMarkable 2 came out, which was a gigantic success for reMarkable as a company, we now have an important product coming at an important time”
Highlights a physical design flaw right away
3.5× channel median“The problem is this. It's a very, very, very, very slippery type of a surface and these ridges they don't do much other than feel nice.”
Addresses a specific user concern or rumor
3.0× channel median“the thing that's the biggest concern and the most kind of radical change for majority of users who are interested in writing for this device is that active pen.”
Patterns in the lower-public-view group
Opens with a generic Q and A
0.4× channel median“Hello, my name is Voyah and welcome to my deep guide and another edition of Q&A. Let's go. Cheers.”
Reads a long comment from a viewer
0.4× channel median“While I know that not everyone has the same experience, [music] the important thing about the major software change is that it has to be carefully communicated, educated around, and supported.”
Begins with a standard community greeting sequence
0.4× channel median“Hello, my name is Voya and welcome to my deep guide and another edition of Q&A. I collected some of the questions from Q&A videos”
A writing hypothesis to test
To test this hypothesis, structure the next Q and A video by skipping the standard greeting and starting immediately with a high-stakes product comparison or a controversial hardware question in the first sentence.
What this page cannot tell you
It cannot tell you whether these patterns would do anything for your channel, because it never saw your script. The patterns above are what recurs in one channel's published uploads; whether your own opening holds attention is a question about your draft, and it is answerable before you record.
Questions about this breakdown
What does this My Deep Guide breakdown actually measure?
It compares the transcripts of My Deep Guide's higher-viewed and lower-viewed recent long-form uploads, grouped against the channel's own median of 5.4K views, and reports the script patterns that recur in each group with a verbatim quote for each. It is a read of the scripts. It does not use audience retention data, which is private to the channel owner, and it does not establish that any pattern caused any view count.
Is this a prediction of how the videos performed?
No. The analyzer reads the words in a script and flags where attention is most at risk on the page. Published view counts are used only to split the uploads into groups to compare. Nothing here is a measurement or a forecast of what real viewers did, and the same script can travel very differently depending on topic, packaging, timing, and distribution.
How current is this analysis?
This page was analyzed on August 25, 2026 and the result is frozen at that point, with the analyzer version stamped on the page. YouTube changes, channels change, and a scan run today could group different uploads. Re-read the quotes against the channel's current videos before relying on any pattern.
Can I get this for my own script?
Yes, and that is the more useful direction. This page shows what the analyzer found in someone else's published scripts. Running your own draft through the free check gives you the same read on the script you are about to record, while you can still change it: hook, pacing, and structure scores, and the passages most at risk of losing attention.
This page reads someone else's script. Read your own.
Paste the draft you are about to record and get the same kind of read on it: hook, pacing, and structure scores, and the passages most at risk of losing attention, while you can still change them. Free, no login. The line-by-line rewrites come with a Creator plan if you want them.
Check my script freeRelated reading
- All channel breakdowns : the same read on other channels.
- Hook examples that open on a claim : the pattern most often separating the two groups above.
- The retention guide : what the curve shapes mean and which are script problems.
- Our 349-hook study : first-party research with the row-level data published.
- Run this scan on your own channel : free, needs captioned long-form uploads.