Канал о том, как лидерам в IT выстраивать agile команды, достигающие поставленных целей.
Для тимлидов, проджектов и аджайлистов, которые уверены, что можно лучше, но не знают как.
Подробнее на сайте https://badovskaya.pro
По всем вопросам @e_badovskaya
Created
Between 1 August 2025 and 31 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
2 measurements taken within a single day. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 224–226 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
7 Aug 2026, 03:02
225
no change
6 Aug 2026, 15:08
225
first reading
Engagement
17 posts held, back to 16 February 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
29.3%
avg views ÷ 225 subscribers
Avg views / post
66.0
1 post measured
Reaction rate
12.1%
reactions ÷ views · ER floor
Posts in window
1
of 17 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 3 August 2026
Posts held
17 (16 February 2026 – 3 August 2026)
Views total
66
Reactions total
8
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 03:02 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Photos
34
Videos
1
Links
36
Lifetime counters from Telegram’s own channel header, read 7 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
245 reactions across 14 posts, in 16 distinct kinds. The most used accounts for 27.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
68
27.8%
👍
53
21.6%
❤
48
19.6%
💯
16
6.53%
🤝
10
4.08%
👌
9
3.67%
😁
8
3.27%
👏
7
2.86%
⚡
6
2.45%
🙈
5
2.04%
✍
4
1.63%
👻
4
1.63%
🤩
3
1.22%
😱
2
0.816%
🙏
1
0.408%
🤔
1
0.408%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 14 of the 17 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 245reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 16 February 2026 to 3 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Эта наша продуктовая разработка, ей вообще кто-то управляет?
Все чаще ловлю себя на мысли, что управление в командах разработки, как бы это сказать... Нет его, короче! 👿
🔃 Формально все в наличии: линейный руководитель, функциональный руководитель, роадмап, планы, отчетность, опросы вовлеченности, перфоманс ревью и сбоку бантик. А управления работой - нет.
💬 Спрашиваешь, какая сейчас главная цель? Начинают перечис…
Как в эпоху ИИ есть слона по частям?
🔃 Сегодня на работе проводила воркшоп по декомпозиции бэклога. Сначала прошлись по теории, обсудили способы нарезки пользовательских историй и всякие INVEST&SPIDRE - кто не знает таких слов, го читать мою шпаргалку. А потом перешли к теме использования ИИ...
➡️ Дали участникам промпт, который "умел" разные способы декомпозиции: по шагам процесса, сценариям использования, ролям п…
🎙 Так много хотелось рассказать на митапе про Agile, что не смогла остановиться...
✈️ Ловите свеже испеченную Шпаргалку по Agile для менеджеров (для аджайл специальностей этого конечно маловато)
🔊 Поскольку это экспромт, буду рада всем идеям по уточнению, улучшению и расширению!
Чуть не забыла! Срочно в номер!
Уже завтра, с коллегами из сообщества 😀 Немного Продакт, проводим митап «PM Skillset - как пройти проверку на продуктовые харды»
Идея в том, чтобы разобрать основные направления собесов для продактов, в первую очередь hard skills. Полагаю, будет интересно и полезно не только продактам! 💯
Я выступаю с темой «Управление командой и Agile подходы» 🦋
Всего будет 7 докладов по 10 мин, об…
Как принимать решения, когда ничего не понятно?
🙃 Когда я была маленькой начинающим менеджером проектов, мне казалось, что решение следует принимать только когда собрана вся необходимая информация.
➡️ Правда, довольно быстро стало понятно, что по такой логике некоторые решения не будут приняты никогда.
Сейчас я точно знаю, что задача менеджера НЕ в том, чтобы найти идеальное решение.
💡 А в том, чтобы принять дост…
AI в реальном управлении командой? Не, не слышал...
В недавнем опросе больше всего голосов набрала тема «сценарии использования AI в управлении». Штош... давайте, поговорим об этом.
Я долго не хотела писать на тему AI, потому что... ну столько хайпа, ну просто фу! Как говорится, заводы стоят, одни вайбкодеры в стране!
Конечно, не хочется быть тем, кому некогда точить пилу, потому что он пилит и занят. Так что плач…
⬅️ Сегодня обсуждали в одной команде, как их владелец продукта понимает Agile подход.
💡Пришли примерно к такому:
Вы выполняете все взятые на себя обязательства и соблюдаете правила... А мы гибко делаем, что хотим!
Ненуачо? Клиент всегда прав! 👏
Я уже сколько то времени как вернулась из отпуска. Кстати было классно. Хотя -9 часов к Москве дались тяжело 🫠
И сейчас мне очень важно узнать кое что у вас, пожалуйста. Три небольших вопроса, заранее спасибо!❤️
Я покатилась в отпуск в Мексику, друзя!
✈️ Не помню, писала или нет, насколько я маньяк путешествий, но это будет 64-я страна.
Я встречала людей и с бОльшим числом, если что... Но, если вам кажется, что это много, то моя первая страна (UK) была, прости Господи, в 1996-м 🥲
Так что за 30 лет вроде и ничего, тем более, что по началу от жадности ездили в несколько стран за раз...
🔊 Рассказывать о путешествии планирую…
❤6👍5🔥3🤩3
Showing the 12 most recent of 17 posts we hold for @realagile. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Polls
The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 17 most recent posts we hold, published 16 February 2026 to 3 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Citation-graph rank
Citation-graph rank — 973,523 of 1,189,255entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 2 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@realagile named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@real_agile named in 3 posts, 8 August 2026 – 8 August 2026
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 7 August 2026 — this
entry's latest reading, not the date you are reading this.
“Кать, а ты правда agile коуч?” (@realagile), 225 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/realagile.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.