What you can ask

A library of plain-English questions grouped by the problem you're trying to solve — with what to expect back.

You ask in plain English, the way you'd ask a sharp ops manager who knows your numbers. Below are starting points grouped by the problem you're trying to solve, with a note on what each one gives you back.

You don't have to phrase them exactly like this. Ask follow-ups. Push back. The AI is reading your data, so the more specific you get, the better the answer.

Tip: if you've added Studio Ignition, ask the AI to run the diagnostic before you go deep. It connects your data together so the answers that follow are trustworthy.

Keeping members (retention & at-risk)

• "Who'd love a check-in from me this week?"
• "Which members haven't I seen in the last 30 days who used to come regularly?"
• "How is the reformer cohort tracking — are they staying with us?"
• "Show me members whose attendance has quietly dropped off in the last two months."

What you get back: a named list (when your permission level allows names) of specific members, with how long since their last visit and what changed, so you can reach out today — not a generic "improve retention" tip.

Your classes & schedule

• "Which classes are quietly growing, and which could use a refresh?"
• "What are my busiest and emptiest time slots over the last quarter?"
• "Is the new instructor's class finding its people?"
• "Which classes should I think about cancelling based on attendance trends?"

What you get back: attendance trends by class and time slot, with the direction of travel — so you can make schedule calls on evidence, not gut.

Money & cash (revenue, plans, payments)

• "How did revenue move over the last 12 months?"
• "How do memberships compare to class packs for us — which holds people longer?"
• "Are we going to be okay next month?"
• "Which members are on plans that are about to lapse?"

What you get back: revenue and plan trends drawn from your own payments and accounting, reconciled — with the gaps flagged where the data can't fully answer, rather than a confident guess.

Members & outreach

• "Draft a warm note to the members I haven't seen since May."
• "Who are my most loyal members I should thank this month?"
• "Pull together a list of members due for a plan review."

What you get back: a ready-to-send draft and the list it's based on. It writes the message; you send it — Kula Intelligence never emails or messages members on your behalf.

Marketing & acquisition

• "Where are my new members actually coming from?"
• "How is our website traffic trending, and is it turning into bookings?"
• "What did we spend to acquire members last quarter, and was it worth it?"

What you get back: acquisition and traffic trends from your connected marketing sources. If a source isn't connected yet, the AI tells you what's missing rather than inventing a number.

When the answer says "I'm not sure"

A good answer sometimes is "I can't fully answer that yet." If a data source isn't connected, or your history has a gap, the AI will say so and tell you what to connect or fix. That honesty is the point — see Keeping your connectors healthy to close gaps.

What's next

• Your weekly rhythm — turn these into a habit.
• Build your own & share with your team — save your best questions as a repeatable skill.