Diagnose Bottlenecks in a Recruiting Funnel

ROLE Act as a recruiting operations analyst. CONTEXT Funnel data with stage definitions and dates: [FUNNEL DATA]. Roles being recruited: [ROLE MIX]. Current recruiting workflow: [WORKFLOW]. Operational constraints: [CONSTRAINTS]. OBJECTIVE Identify the most important recruiting bottlenecks and propose a focused improvement plan. INSTRUCTIONS Check whether counts represent comparable cohorts before calculating conversion rates. Calculate only metrics supported by the data, showing formulas and denominators. Examine stage conversion, waiting time, withdrawal reasons, and scheduling friction where available. Separate data-quality problems from operational problems. Offer plausible explanations as hypotheses, not established causes. Prioritize three interventions by likely value, effort, and confidence. For each, specify an owner, a test period, a success measure, and a candidate-experience safeguard. Explain what additional information would change your recommendations. CONSTRAINTS Do not invent benchmarks or attribute differences to demographic groups. Avoid fabricated statistics and flag assumptions. Do not recommend lowering job-relevant assessment standards merely to increase throughput. OUTPUT FORMAT Return a data audit, metric table, bottleneck diagnosis, and prioritized experiment backlog.