Custom fields analytics

Это содержимое пока не доступно на вашем языке.

Analytics → Custom fields answers one question: is the structure we designed actually being filled in?

What follows the time range — and what doesn’t

The view says this up front, because it matters:

Ignores the time range: Field Coverage, Chats tagged, Untagged, Top column — always your whole inbox as of now. Follows the time range: Changes, Top taggers.

So a “0 changes” week doesn’t mean coverage dropped; it means nobody tagged anything.

Headline stats

Stat	Meaning
Total Fields	Number of custom columns in the current view
Average Coverage	Average percent of chats with a value set, across all fields
High Coverage	Fields filled in at least 75% of chats
Needs Attention	Fields filled in fewer than 25% of chats
Members	Workspace members who contributed field changes

Needs Attention is the one to act on. A field under 25% is either unnecessary or unenforced — decide which and either delete it or make someone responsible for it.

Field Coverage

Per column: how often it’s filled, and its value distribution.

“{filled} of {total} chats” with a tooltip explaining the count.
Multi-select columns get a longer tooltip: because a chat can hold several values, the per-value counts overlap and sum to more than the number of tagged chats. That’s expected, not a bug.
Top values per field, expandable with Show {n} more.

Label usage

A donut plus supporting counts:

Chats tagged / Untagged — “{pct}% of chats tagged”
Top column — the field applied to the most chats
Changes — custom-field values added, edited or cleared this period
{used} of {total} columns carry data — how much of your schema is dead weight
Top taggers — per member: {created} new · {edits} edits · {n} cleared, with Last active

Field Update Activity

A heatmap of when custom field values are updated. Darker cells mean more updates; click a cell for the detail. Useful for spotting whether tagging happens as work flows or in a guilty Friday-afternoon batch.

Top Chats by Field Completion

Chats with the most fields filled, by completion rate. Duplicates across members are deduped.

Recent Changes

The last n field value updates — “Set to: {value}”, “Removed: {value}” — with the chat, the field and who did it.

In workspace mode this feed widens beyond field edits to include Telegram and workspace actions: messages sent/edited/deleted, reactions, forwards, media, member joins/leaves, role changes, account shared/unshared/reconnected, broadcasts sent, comments, files, column create/delete, reminders, ticket events and API key events.

Member Activity

Who’s updating custom fields — counts of custom-field changes, Telegram actions and workspace actions per member.

Empty states

Message	Meaning
No Workspace Custom Fields	No workspace-scoped columns exist yet — create them in the Chats view
No Custom Fields	You haven’t created any personal custom fields
Select an account to view custom fields analytics	Pick an account in the filter

A practical routine

Once a month:

Sort fields by coverage. Anything under 25% → delete it or assign an owner.
Check {used} of {total} columns carry data. If it’s 4 of 11, your table is mostly noise.
Look at Top taggers. If one person does 80% of the tagging, the process isn’t a process — it’s that person.
Build an Untagged view from the No custom fields filter and work it down.