Карта реализации историй на примере за 12 минут Разбирались вместе с Галой Янке. Это первая часть встречи, где я коротко ввожу КРИ и показываю её не только в шаблоне, но и на примере пары рабочих историй. КРИ здесь строится для инструмента поиска связи между стратегией и операционной деятельностью. Это когда высшее руководство хочет проверить а тем ли вообще занимаются сотрудники компании

Channel
Карта реализации историй
@simapping
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
148subscribers
+0 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002454893716 |
|---|---|
| Type | Channel |
| Username | @simapping |
| Description | Официальный канал метода сбора требований и предварительного проектирования инструментов для любых систем на основе рабочих историй Автор метода — @ashapiro |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 8 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/simapping |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 8 Aug 2026, 20:17 | 148 | no change |
| 6 Aug 2026, 22:12 | 148 | first reading |
Engagement
16 posts held, back to 17 May 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
- 28.2%
- avg views ÷ 148 subscribers
- Avg views / post
- 41.7
- 3 posts measured
- Reaction rate
- 4.85%
- reactions ÷ views · ER floor
- Posts in window
- 3
- of 16 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. It is computed over the 2 of 3 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 3 August 2026 |
|---|---|
| Posts held | 16 (17 May 2026 – 3 August 2026) |
| Views total | 125 |
| Reactions total | 5 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 20:17 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
- 41
- Videos
- 8
- Links
- 38
Lifetime counters from Telegram’s own channel header, read 8 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.
- Video runtime
- 23m 35s
- Average length
- 4m 43s
Measured directly from 5 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
54 reactions across 13 posts, in 4 distinct kinds. The most used accounts for 55.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 30 | 55.6% | |
| ❤ | 17 | 31.5% | |
| 👍 | 6 | 11.1% | |
| 🙏 | 1 | 1.85% |
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 13 of the 16 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 54reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 17 May 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.
Recent posts
Анонс мини-курса по Карте реализации историй Сколько раз вы видели, как команда усердно работает над фичей, но потом выясняется: в ней нет ничего важного для потребителя? В бэклоге всё аккуратно, в макете всё красиво, разработка идёт — и всё же приходится выкидывать или переделывать, потому что смысл задачи потерялся где-то между первым разговором и итоговым интерфейсом. Если вы аналитик, продакт, дизайнер или раз…
🔥2❤1
А у нас анонс еще одного вебинара! 30 июля, в четверг в 18:00 у нас в эфире будет Андрей Шапиро и в связи с выходом его новой книги мы будем говорить о Карте реализации историй! Если в двух словах, то Карта реализации историй развивает идеи User Story Mapping и представляет собой технологию сбора детальных требований совместно с проектированием разрабатываемой системы. На словах просто, но есть куча нюансов, вот о …
👍1🔥1
Пример применения КРИ в Социотех для проектирования КПО в нём же https://t.me/xpmap/319
❤1
Добавил раздел с тонкостями метода в Базу знаний. Теперь, если вы хотите кому-то рассказать о методе и быть уверенными, что там всё есть, достаточно дать эту ссылку https://github.com/Byndyusoft/sim
🔥3❤1
Беседа об историях Напомню о подкасте, которому скоро будет уже 2 года, однако тема не потеряла своей актуальности. Все те же самые ошибки, что в истории приносили люди, теперь в них проносят код-агенты ИИ. В беседе с Юрием Агеевым (создателем конференции ProductSense, ведущим подкаста make sense) я раскрываю тему типовых ошибок в записи историй. https://makesense.mave.digital/ep-327
КРИ уже в Социотех 🎉 Сегодня особенно важный для меня день. Мы выпустили первую версию Карты реализации историй в Социотех. И она уже невероятно крутая. Попробуйте сами https://sociotech.center/
🔥4
Карта реализации историй в Социотехе В Социотехе появилась возможность создавать Карту реализации историй по методу Андрея Шапиро: https://ashapiro.ru/articles/sim Зачем это надо? Чтобы команда раньше договорилась, какую проблему решает система и почему именно так. Карта помогает увидеть рабочие ситуации, предметные объекты и не потерять смысл задачи по дороге к интерфейсам и разработке. Как это работает? История …
❤6🔥2🙏1
Друзья! Если вы уже получили книгу, и она вам понравилась, оставьте, пожалуйста, отзыв. Так вы отблагодарите автора и поможете хорошей книге найти новых читателей https://ozon.ru/t/Uy5Kdl7
👍2❤1
Если вы хотите кому-то рассказать о подходе Карты реализации историй и книге о нём, покажите вот эту страницу https://ashapiro.ru/sim-book
Книга уже доступна для заказа https://www.ozon.ru/product/4534212227/
❤3🔥3
Книга «Рабочие истории. Системное проектирование с Картой реализации историй» добралась до Челябинска и сегодня уже уехала на склады OZON. Первая партия появится в продаже через пару дней
❤1
Showing the 12 most recent of 16 posts we hold for @simapping. 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.
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
Names
Channels on the register whose handles appear in this channel's posts.
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 8 August 2026 — this entry's latest reading, not the date you are reading this.
“Карта реализации историй” (@simapping), 148 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/simapping.
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.