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The hardest part of Genie rollout isn't building it, it's changing what people reach for at 9am. ๐Ÿง 

Valeria_Koz_DBX
Databricks Employee
Databricks Employee

You can build a perfect Genie Space โ€” clean metrics, tuned instructions, the right tables โ€” and still watch people open their old spreadsheet at 9am out of habit. The room isn't the hard part. The habit is.

I've been running a Genie rollout inside a UK enterprise Finance function, and the thing that actually moved daily usage had almost nothing to do with what we built. It was how we taught it. Four things made the difference:

  1. Teach prompting, not the UI. The button tour lands flat. What sticks is conversational skill โ€” how to ask, how to follow up, how to narrow a vague question into a good one. That's the transferable capability; the interface takes care of itself.
  2. Show the magic before you explain the mechanics. Lead with a genuinely impressive answer to a question people actually care about. Earn the "wow" first โ€” curiosity opens the door that a features walkthrough never will.
  3. Keep the groups small. Breakouts of 7โ€“9, hands on keyboards. People won't ask the "silly" question in a room of 30, and it's the silly questions where confidence is built.
  4. Let peers teach peers. The moment a colleague shows another colleague something they found themselves, adoption stops being a rollout and starts being a habit. Your job is to create those moments, not to be the only teacher in the room.

The underlying shift: a room only creates value when someone chooses it over their old habit โ€” and that choice is won in how you teach, not in what you build. We treated enablement as a behaviour-change problem, not a training tick-box, and that's what changed the 9am reflex.

Would be interesting to know how others have handled this: when you roll out Genie, where does most of your effort go โ€” into the room, or into changing the habit around it? And what actually shifted daily usage for you?

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