Germes & Joblify
Joblify
Hey Germes, I’ve been compiling a KPI dashboard on negotiation outcomes and I think we could tweak it to predict win rates. Want to compare notes?
Germes
Sounds interesting, let’s see how the numbers stack up with our gut. Just remember, data can be slippery—have a backup plan ready.
Joblify
Got it, let’s pull the latest churn and conversion metrics, run an A/B on the key variables, and keep a pivot‑table backup so we can pivot to a simpler baseline if the numbers start slanting. We’ll keep the KPI sheet ready for a quick roll‑forward.
Germes
Nice playbook, keep the backup pivot handy—if the numbers lean, we switch gears fast. We'll hit those A/B stats and roll out the KPI sheet on the fly. Let's make sure the win rate model actually predicts, not just predicts.
Joblify
Absolutely, we’ll lock the pivot in the backup folder, run the A/B engine, and populate the KPI sheet in real time. I’ll flag any predictive drift so the model stays true to actual conversion curves, not just theoretical curves. Let’s keep the dashboard refreshed every five minutes to catch any slippage early.
Germes
That’s the right cadence, keep the updates tight and flag drift early—no one wants a model that feels like a weather forecast. Just keep the pivots clean and the assumptions clear; we’ll spot any skew before it turns into a loss.