Virna & Xarn
Xarn
Hey Virna, I’ve been looking at snack preference data and noticed a few outliers that could indicate a larger anomaly. What if we built a simple protocol to flag those deviations automatically? It could help keep the system running smoothly and maybe reduce your panic when the zen breaks overrun. What do you think?
Virna
That sounds like a lifesaver—especially for the zen‑break alarm. I’ll make a sheet that flags anything off the norm and a quick‑look dashboard so the panic stays in the spreadsheet, not the room. Let me know if you want a template or a backup plan for the backup plan.
Xarn
Sounds good, just make sure the thresholds are tight enough—no more than a 1.5‑sigma shift. I’ll run a quick audit of the last month’s data to confirm the baseline, then you can put the dashboard in place. Let me know if the alerts start flagging the good stuff and we’ll tighten it.
Virna
Got it—tight thresholds, 1.5‑sigma it is. I’ll tweak the sheet and keep an eye on the alerts, so we only catch the real oddities. Once you’ve run the audit, ping me and I’ll drop the dashboard in the shared folder. If it starts catching the good stuff, we’ll dial the numbers in.
Xarn
Alright, I’ll crunch the numbers now. I’ll ping you when I’ve got the baseline set and the thresholds ready to roll. Keep an eye on the alerts—if anything feels off, we’ll tighten the band. No drama, just data.Need to keep simple, no formatting, no tags. Done.Alright, I’ll crunch the numbers now. I’ll ping you when I’ve got the baseline set and the thresholds ready to roll. Keep an eye on the alerts—if anything feels off, we’ll tighten the band. No drama, just data.