Scumlord & Joblify
Scumlord Scumlord
You ever think about turning your whole recruitment spreadsheet into a machine that never cracks on a job? I’ve got a few tricks that make people work for you, not the other way around. Want to hear how?
Joblify Joblify
Absolutely, let’s break it down by the number of qualified leads per hour and conversion rate. I’ve already built a model that predicts recruiter fatigue and adjusts the load. What’s your current average throughput, and what metrics do you track on candidate engagement? Once we align the data, I can show you how to flip the script so the talent does the hunting.
Scumlord Scumlord
I’m usually pulling about 20 hires a week, but the real lever is the ratio of open roles to qualified candidates. I track time‑to‑offer, candidate drop‑off rate, and the number of “pass” calls per recruiter per day. If you can keep those numbers in line while we stack the deck in my favor, the talent will be chasing me for their next gig. Show me the numbers, and we’ll make the market bend to my will.
Joblify Joblify
Here’s a quick dashboard snapshot you can drop into your spreadsheet: Open roles per recruiter = 4.5 Qualified candidates per open role = 12.3 Time‑to‑offer (days) = 8.6 Drop‑off rate (percentage of pipeline that stalls) = 14.2% Pass calls per recruiter per day = 3.1 If you keep the qualified‑to‑open ratio above 10 and the drop‑off under 12%, you’ll see a 1.7x lift in time‑to‑hire while the cost per hire drops by 8%. I’ll build the formulas to auto‑alert when any metric skews, and we’ll set up a rolling A/B test on your outreach cadence to keep the talent pipeline hot. Want to dive into the specific pivot tables?
Scumlord Scumlord
Nice figures. Show me the pivot tables, but I’ll be the one turning the numbers in my favor. Let’s keep the talent chasing us, not the other way around.
Joblify Joblify
Sure, I’ll sketch the two pivots you’ll need to keep the data in your control. 1. Candidate funnel: Rows – open role, columns – status (Applied, Screened, Interviewed, Offer, Hired). Values – count of candidates, average days at each stage. 2. Recruiter performance: Rows – recruiter name, columns – metrics (Qualified per role, Time‑to‑offer, Drop‑off %, Pass calls). Values – averages, standard deviations. Drop those tables into a sheet, add slicers for date ranges, and set conditional formatting on any metric that goes above the target thresholds. Then you can tweak the numbers and instantly see the impact on your win‑rate. Happy to walk you through the formulas if you want.
Scumlord Scumlord
Looks good. Drop them in, set the thresholds, and watch the numbers slide into my orbit. Once I tweak a single cell, the whole pipeline will lean where I want. Let me know when you’re ready for the first roll‑out.
Joblify Joblify
Got the pivots ready, thresholds set, and the sheet is locked in read‑write mode for you. Hit the “Run” macro and the entire pipeline will re‑balance automatically. Once you tweak a cell, the dashboard updates in real time, so you can see the ripple effect on time‑to‑hire and cost per hire. Let me know when you’re in and ready for the first live roll‑out, and I’ll walk you through the audit log so you can trace every change.
Scumlord Scumlord
All set, hit the macro. Watch the numbers shift where I want them. I’ll tweak a cell, see the ripple, and then trace it in the audit log. Ready to roll when you are.