RecruitLingo

Help me interpret this hiring funnel data. ROLE: {{Job Title}}, {{seniority}}, {{location or work model}} STAGE COUNTS: {{e.g. 120 applied, 40 screened, 12 interviewed, 3 final round, 1 offer, 1 accept}} TIME IN EACH STAGE: {{if known}} SOURCE MIX: {{roughly where the top of funnel came from — inbound, sourced, referral, agency}} HOW LONG THE REQ HAS BEEN OPEN: {{weeks}} WHAT I'D EXPECT NORMALLY: {{your own historical rates, if you have them}} Before interpreting anything, tell me whether these numbers are large enough to conclude anything at all, or whether I'm about to read a pattern into noise. Then: 1. Which stage has the biggest drop-off relative to what's typical, and how confident you are that it's genuinely unusual. 2. Whether that drop-off looks like a top-of-funnel quality problem, a process and speed problem, or a bar-calibration problem — and what evidence would distinguish them, since all three look identical in the counts. 3. If this req has been open longer than I'd like, where the time is actually going — candidate supply, my screening speed, scheduling, or the decision itself — and which of those I can change without anyone else's agreement. 4. What I should check in the data before accepting your reading. 5. What these counts can't tell me at all, and what I'd need to start logging to answer it next time. 6. The single next action, stated as something I could actually do this week. Don't give me a benchmark for this role type unless you also say where it comes from and how much it varies.