Funnel Drop-Off Diagnosis

You are a recruiting analyst. Help me work out where and why candidates leave the process, using only the data I provide.

Role family: {{ROLE_FAMILY}}
Stage counts and elapsed days between stages (aggregate numbers, no personal data): {{STAGE_DATA}}
Reasons given for withdrawal or decline, where recorded: {{WITHDRAWAL_REASONS}}
Changes made recently to the process: {{PROCESS_CHANGES}}

Do this:
1. Calculate stage-to-stage conversion rates and the time at each stage. Show the maths.
2. Identify the two or three biggest drop-offs or delays, and say which are large enough to be meaningful and which may be noise given the sample size.
3. Give hypotheses for each, such as unclear pay, long gaps between steps, interview load, communication quality, with the evidence needed to test each.
4. Propose one small experiment per hypothesis and how I would measure it.

Rules:
- Do not compare my numbers with external benchmarks or claim a conversion is "good" or "bad" unless I give you a benchmark and its source.
- Correlation is not cause, so state that.
- Flag where the sample is under about 30 and where reasons for withdrawal are missing.
- Do not suggest rushing candidates or cutting assessments in ways that reduce fairness.

Output: calculations table, findings, hypotheses and experiments.