{"id":"search-mgr-turnover-benchmark-brief","audience":"managers","category":"ai-search","track":"research","technique":"context","title":"Write a research brief that defines what to measure","free":false,"task":"You need a turnover benchmark for your 120-person Midwest warehouse before a leadership review, and different sources define turnover differently. Write a deep-research brief as exactly 5 numbered lines labeled Question:, Define:, Compare to:, Sources: and Output:, where Define: says turnover = people who left in a year / average headcount, Compare to: names Midwest warehouses with 50-200 staff, and Output: asks for a table with Source, Year, Turnover % and Sample columns. Plain text, under 110 words.","materialLabel":"Your notes (attached to your prompt automatically)","material":"Notes - turnover benchmark ask (from Raj, Ops Director)\n\nOur numbers (Jan-Oct 2026):\n- average headcount: 120\n- people who left: 54 (includes 9 seasonal temps whose contracts ended)\n\nWhat Raj asked: \"Is our turnover bad? Find me a benchmark.\"\n\nWhat I found so far:\n- a staffing agency blog: \"warehouse turnover is 49%!!\" (no method, they sell staffing)\n- an article about Amazon-size fulfillment centers with 2,000+ staff\n- a 2017 national survey of all industries\n\nLeadership review: Nov 24.\nI'm not sure if temps should count. Raj says leave temps out of our number and the benchmark should do the same.","rules":[{"type":"numberedItems","count":5},{"type":"maxWords","max":110},{"type":"plainText"}],"mistakes":[{"title":"Asking for a benchmark number","why":"The AI quotes a figure from memory, often the staffing blog's 49%.","fix":"Say: \"Write a brief for a research tool, not the answer.\"","checks":["r2"]},{"title":"Not defining turnover","why":"Sources count temps, transfers and annual vs. monthly differently, so the numbers don't compare.","fix":"Add: \"Define: people who left in a year / average headcount, no temps.\"","checks":["r0"]},{"title":"No comparison group","why":"The tool compares you to 2,000-person centers or all industries.","fix":"Add: \"Compare to: Midwest warehouses with 50-200 staff.\"","checks":["r1"]},{"title":"Long or formatted output","why":"AI writes a bold multi-section brief.","fix":"Add: \"Exactly 5 numbered lines, each under 22 words, plain text.\"","checks":["numberedItems","maxWords","plainText"]}],"promptHints":[{"label":"Asks for a brief","patterns":["brief","research (tool|agent)","deep.?research"]},{"label":"Defines the measure","patterns":["define","average headcount","left"]},{"label":"Names the comparison group","patterns":["midwest","50.?200","similar size"]},{"label":"Leaves out temps","patterns":["temps?","seasonal"]},{"label":"Asks for a table","patterns":["table","turnover %","sample"]}],"hint":"Benchmarks only compare if everyone measures the same thing. Put the definition and the comparison group in the brief.","rubricLabels":["The Define line says turnover = people who left in a year divided by average headcount, and leaves out seasonal temps","The Compare to line names Midwest warehouses with 50-200 staff (not giant fulfillment centers or all industries)","The Sources line asks for government labor data or industry surveys and rules out staffing agency marketing, and the Output line asks for a table with Source, Year, Turnover % and Sample columns"]}