A real Kula Intelligence workflow, anonymized. This is an actual plain-English conversation an operator ran the morning a senior teacher resigned — coverage, members at risk, and the messages to send, settled before lunch. Names and figures are changed; the workflow and the reasoning are the real thing.
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A senior teacher resigns on a Tuesday.

The website shows simple chats. Here is the other half: a real workflow, run in plain English, the morning a teacher hands in their notice. Coverage, the members at risk, and the message to send — settled before lunch.

Illustrative example. Member figures anonymised. Run live for a two-location operator.
Studio ManagerJordan just resigned, effective in two weeks. Which classes does that leave uncovered, and who on our pool can actually take them?
Kula Intelligence

Jordan holds six weekly slots. Two are high-fill and matter most. Ranked by who can cover, on credentials, availability and how many of Jordan's own regulars already train with them:

Jordan's slotAvg fillBest coverShared regulars
Tue 6:00am Vinyasa92%Lena R.14Strong fit
Thu 7:00am Vinyasa88%Lena R.11Strong fit
Sat 8:00am Flow81%Marcus K.9Strong fit
Mon 9:30am Slow54%Aisha N.5Cover
Wed 12:00pm Express38%3Consolidate
Fri 5:30pm Restore33%2Consolidate

Four slots have a strong cover already in your pool. The two thinnest classes (Wed Express, Fri Restore) clear barely a third of the room and only a handful of regulars depend on them — worth folding rather than back-filling. Net new hiring needed: none.

Studio ManagerHow many members might leave with Jordan, and what's that worth if they do?
Kula Intelligence

23 members name Jordan as their primary teacher — most of their visits over the last 90 days were Jordan's classes. They split by how exposed they are:

Affinity tierMembersAlready covered above?Annual value
Jordan is their only teacher7Partly — Lena overlaps 4$9,600
Jordan + one other9Yes — moved to Lena / Marcus$11,700
Jordan + several others7Yes — low risk$9,800
$31,100
Membership value linked to Jordan / yr
7
Single-teacher members — the real risk
$9,600
At genuine risk if we do nothing

The headline number is loud, but it overstates the danger. Most of these members already train with the teacher who's covering Jordan's room. The actual exposure is the seven single-teacher members worth about $9,600 a year — and four of those land in Lena's classes anyway. The job shrinks from "twenty-three at risk" to "warm up three or four people this week."

Studio ManagerWhat do we actually say, and to whom?
Kula Intelligence

Three messages, each to a named list, drafted ready to send:

To Jordan's 23 members · warm, from the studio"Some news: Jordan is moving on at the end of the month. We're so grateful for the energy they brought to the mat. Your Tuesday and Thursday mornings carry on with Lena, who many of you already train with — and your pass and schedule don't change a thing."
To the 7 single-teacher members · from Lena, personal"Hi — it's Lena. I'll be picking up the Tuesday and Thursday morning classes from Jordan, and I'd love to keep seeing you there. Save your usual mat — I'll be looking out for you next week."
Internal · to youFold Wed Express and Fri Restore (sub-40% fill, 5 affected regulars — offer them the Mon Slow slot). Reassign four covers to Lena / Marcus / Aisha. No hire required. Re-confirm in 30 days.

The personal note goes only to the seven who'd feel the loss most, sent from the teacher who's actually catching them — not a blast to the whole base that tells 205 happy members a teacher just quit.

Coverage, retention and the comms — settled in one sitting.

No spreadsheet, no guesswork, no awkward all-staff scramble. The hardest part of a resignation is usually the human one. Kula Intelligence took the personal element out of a hard conversation and turned it into a short, calm list of who to look after this week — and the message that keeps them.

This is a representative Kula Intelligence workflow. Slot fills, affinity tiers and revenue-at-risk are computed from a studio's own data; member details here are anonymised and figures are illustrative. Run on your data, the names and numbers are real, and the answer arrives in minutes. More human, not less.