5 measurements spanning 7 days, net -24. 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 2,224–2,256 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 01:54
2,228
-12
9 Aug 2026, 15:33
2,240
-10
6 Aug 2026, 13:00
2,250
-2
6 Aug 2026, 06:02
2,252
no change
6 Aug 2026, 03:35
2,252
first reading
Engagement
10 posts held, back to 1 July 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 2 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
7.96%
avg views ÷ 2,228 subscribers
Avg views / post
177
4 posts measured
Reaction rate
4.80%
reactions ÷ views · ER floor
Posts in window
4
of 10 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 24 July 2026
Posts held
10 (1 July 2026 – 24 July 2026)
Views total
709
Reactions total
34
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 16:45 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.
Reaction mix
124 reactions across 10 posts, in 9 distinct kinds. The most used accounts for 32.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
40
32.3%
👍
31
25.0%
🔥
20
16.1%
👏
11
8.87%
❤🔥
10
8.06%
⚡
5
4.03%
🏆
5
4.03%
😁
1
0.806%
🤝
1
0.806%
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 10 of the 10 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 124reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 1 July 2026 to 24 July 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.
Advertising
Ad load
10.0%
1 of 10 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
172
over 1 measured post
Median views · rest
174
over 9 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2W5zFHKmiho
1
6 July 2026
6 July 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 10 most recent posts we hold, published 1 July 2026 to 24 July 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Друзья, какие темы вам интересно было бы увидеть в ближайших публикациях?
Ниже собрала несколько вариантов — проголосуйте, пожалуйста, в опросе:
Наставничество50%
Алгоритм построения системы адаптации50%
Welcome-тренинг — как спроектировать21%
Разработка онбординга с ИИ36%
Как оценить нового сотрудника14%
Разборы кейсов21%
Свой ответ в комментариях0%
The shares total 192%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
✅ Чек-лист по метрикам адаптации
📍Файл — во вложении
Что внутри:
🟣 метрики онбординга с пояснениями;
🟣 какие решения можно принимать на основе данных.
С чего начать работу с метриками?
Важно сразу определить:
🤩 что именно вы измеряете;
🤩 как часто собираете данные;
🤩 из каких источников берёте цифры.
Тогда метрики не будут “плыть”, а данные — расходиться от месяца к месяцу.
Обратную связь лучше смотреть регулярно…
Как внедрение ИИ в онбординг контакт-центра улучшило взаимодействие с клиентами на 33%.
Онбординг - это критическая болевая точка в управлении талантами для большинства контакт-центров.
Традиционные методы обучения выводят новичка на норму производительности только через 4-6 месяцев, а при подборе сложно предсказать поведение сотрудника во время диалога с клиентами.
McKinsey рассказывает кейс контакт-центра, где п…
Алгоритм контрольных точек адаптации
Данный алгоритм исходит из вводных, отличающих его от остальных подобных планов адаптации:
🔹Ответственность за адаптацию лежит на компании, см. Лучшая статья по адаптации персонала - опыт Google
🔹Существующие планы зачастую перегружены избыточными точками контроля, что отнимает время участников, задача нашего – оставить только критичные точки
🔹Адаптация сегодня носит цель не тольк…
Как лидеру с командой нанимать, развивать и принимать решения?
Каждый день бросает вызов, а мы с экспертами на связи с #дайджестом полезных инструментов:
Мы подготовили материалы на острые темы: как находить сильных специалистов, развивать сотрудников и принимать управленческие решения, которые напрямую влияют на результат бизнеса.
🔗Развитие руководителя и команды
◽️ Как проверить свои компетенции руководителя на…
Как сделать онбординг по-настоящему человекоцентричным?
Фреймворк человекоцентричности будто создан, чтобы сделать нового сотрудника вашим союзником на долгие годы.
📣 В контексте адаптации это про создание благоприятного опыта не только для нового сотрудника, но и для всех участников онбординга.
Вот подборка практик, которые помогут создать такой онбординг.
💗 ПРАКТИКИ ЧЕЛОВЕКОЦЕНТРИЧНОГО ОНБОРДИНГА 💗
🔘Доступ к к…
🚩 Злейший друг, лучший враг, твой навеки красный флаг
Вопрос рекрутерам с опытом:
❓ Что для вас в процессе интервью является красным флагом?
Мы с экспертами обменялись мнениями, и вот что получилось:
1. Анна Чибисова, T&D эксперт, автор ТГ канала Адаптация и наставничество:
🤩 Для меня главный красный флаг, когда на вопрос Что для вас неприемлемо в работе? соискатель отвечает: Я согласен на всё.
Профессионал все…
Используете нейросети только для писем и скоринга резюме? Коллеги, у ИИ-инструментов потенциал гораздо больше
Например, с нейросетями вы можете в разы быстрее собирать учебные программы: создавать онбординг для новичков, персонализировать обучение под сотрудника, разрабатывать уроки, конспекты, задания и чек-листы.
Много готовых ИИ-сценариев есть в курсе «Нейросети в образовании» от Академии Эдюсон.
Там учат:
▪️ ф…
Один из мировых трендов, который стремительно набирает популярность - человекоцентричность. В РФ стандарт менеджмента организации ориентированной на человека внедрён в 2025 году.
➡️ Что такое человекоцентричность?
Если коротко — это концепция, которая ставит на первое место потребности человека, его благополучие, развитие и раскрытие личностного и профессионального потенциала.
В карточках рассказала, как понять, …
🔗Исследование практик онбординга Авито. Ключевые выводы
В конце 2025 года команда Avito проанализировала текущие практики адаптации. В исследовании приняли участие 222 эксперта — представители HR и бизнес-функций из ведущих российских и международных компаний.
🤩Ссылка на исследование🤩
Результаты у меня вызвали профессиональный оптимизм:
Онбординг окончательно перерос статус «сопроводительного процесса» и стал стр…
❤🔥6👍2❤1🔥1
Showing the 10 most recent of 10 posts we hold for @onboardingwell. 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 poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Друзья, какие темы вам интересно было бы увидеть в ближайших публикациях?
Ниже собрала несколько вариантов — проголосуйте, пожалуйста, в опросе:
Наставничество50%
Алгоритм построения системы адаптации50%
Welcome-тренинг — как спроектировать21%
Разработка онбординга с ИИ36%
Как оценить нового сотрудника14%
Разборы кейсов21%
Свой ответ в комментариях0%
The shares total 192%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not 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 10 most recent posts we hold, published 1 July 2026 to 24 July 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 — 188,415 of 1,160,990entries 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 10 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.
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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“Адаптация и наставничество|Анна Чибисова” (@onboardingwell), 2,228 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/onboardingwell.
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.
