Job Search Tracker Audit: Where Applications Stall
Analyse your job search pipeline.
Added October 15, 2026. Written with AI assistance and checked for clarity and placeholders; not reviewed by a lawyer, accountant, clinician or other professional. How these prompts are made
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Audit my job search. A list of applications with date, role, company, source, stage reached, response times, and outcome: [APPLICATIONS]. The roles I am aiming for: [TARGET_ROLES]. Calculate the number of applications by stage (applied, screened, interviewed, offer, rejected, no reply) and conversion rates between stages with the arithmetic. Compare by source (referral, job board, direct) and by role type. Identify where the pipeline stalls and hypotheses (resume match, applying too late, interview performance). Make a table with Stage, Count, Conversion, and Hypothesis. Suggest three experiments, such as tailoring the summary for one role type, and a weekly routine with targets for quality over volume. Small samples limit what can be concluded, so say so, and do not promise any result. Add a worked funnel: 60 applications, 15 screens (25 percent), 6 interviews (40 percent of screens), 1 offer (17 percent of interviews); by source, referrals gave 5 of 9 screens and job boards 10 of 51; and an experiment to ask for two referrals a week. Warn that small numbers can mislead.
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