Candidate X: Part 1 Mock Feedback<\/title>\n<style>\n:root{--navy:#183B56;--blue:#2B6CB0;--teal:#24A19C;--amber:#D97706;--red:#C53030;--green:#2F855A;--ink:#243746;--muted:#617586;--paper:#fff;--wash:#F3F7FA;--line:#D9E4EC}\n*{box-sizing:border-box} body{margin:0;background:var(--wash);color:var(--ink);font-family:Inter,Segoe UI,Arial,sans-serif;line-height:1.45}\n.hero{background:linear-gradient(125deg,var(--navy),#245C79 72%,var(--teal));color:white;padding:42px max(24px,calc((100vw - 1160px)\/2));position:relative;overflow:hidden}\n.hero:after{content:\"\";position:absolute;width:280px;height:280px;border:1px solid rgba(255,255,255,.18);border-radius:50%;right:5%;top:-120px;box-shadow:0 0 0 45px rgba(255,255,255,.04)}\n.eyebrow{text-transform:uppercase;letter-spacing:.16em;font-size:12px;font-weight:800;opacity:.78} h1{font-size:40px;line-height:1.1;margin:8px 0} .hero p{max-width:750px;margin:0;opacity:.88}\n.toolbar{max-width:1160px;margin:18px auto 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print{body{background:white}.hero{padding:26px}.toolbar{display:none}main{margin:0;max-width:none}section{box-shadow:none;break-inside:avoid}#missed{break-inside:auto}.scroll{max-height:none;overflow:visible}.filters{display:none}details{break-inside:avoid}details:not([open])>p{display:block}}\n\n.feedback-report{container-type:inline-size;width:100%;max-width:100%;min-width:0;overflow-x:clip;background:var(--wash);color:var(--ink);font-family:Inter,Segoe UI,Arial,sans-serif;line-height:1.45}\n.feedback-report,.feedback-report *{box-sizing:border-box}\n.feedback-report .hero{padding:32px max(18px,4cqi)}\n.feedback-report .toolbar{max-width:100%;flex-wrap:wrap;position:static;overflow:visible}\n.feedback-report main{width:100%;max-width:100%;min-width:0;margin:18px auto 60px;padding:0 12px}\n.feedback-report section{width:100%;max-width:100%;min-width:0;padding:clamp(16px,4cqi,26px)}\n.feedback-report .grid>*{min-width:0}\n.feedback-report .metrics{grid-template-columns:repeat(auto-fit,minmax(min(100%,160px),1fr))}\n.feedback-report .two{grid-template-columns:repeat(auto-fit,minmax(min(100%,420px),1fr))}\n.feedback-report .insights{grid-template-columns:repeat(auto-fit,minmax(min(100%,250px),1fr))}\n.feedback-report .barrow{grid-template-columns:minmax(90px,145px) minmax(0,1fr) 58px}\n.feedback-report .plan{columns:1}\n.feedback-report .scroll{width:100%;max-width:100%;overflow-x:auto}\n.feedback-report table{max-width:100%}\n.feedback-report .radar{max-width:100%;height:auto}\n@container (min-width:760px){.feedback-report .plan{columns:2}}\n<\/style><\/head><body><div class=\"feedback-report\">\n<header class=\"hero\"><div class=\"eyebrow\">Anonymised example: Autumn 2026 Part 1 mock examination<\/div><h1>Individual performance feedback<\/h1><p>Candidate X: evidence-led review of 125 questions, benchmarked against the six-candidate cohort.<\/p><\/header>\n<nav class=\"toolbar\"><button data-go=\"overall\">Overall<\/button><button data-go=\"sections\">Sections<\/button><button data-go=\"insights\">Insights<\/button><button data-go=\"plan\">14-day plan<\/button><button data-go=\"missed\">Missed questions<\/button><button onclick=\"window.print()\">Print \/ save PDF<\/button><\/nav>\n<main>\n<section id=\"overall\"><h2>1. Overall performance<\/h2><p class=\"lede\">The pass mark was 65%. Candidate X scored below the threshold and below the cohort mean.<\/p>\n<div class=\"grid metrics\"><div class=\"metric\"><small>Total score<\/small><b>52\/125<\/b><\/div><div class=\"metric\"><small>Percentage<\/small><b class=\"fail\">41.6%<\/b><\/div><div class=\"metric\"><small>Minimum whole-mark pass<\/small><b>82\/125<\/b><\/div><div class=\"metric\"><small>Deficit to pass<\/small><b class=\"fail\">30 marks<\/b><\/div><div class=\"metric\"><small>Cohort mean<\/small><b>58.0%<\/b><\/div><\/div>\n<div class=\"callout\"><strong>Position:<\/strong> 6th of 6. Candidate X was 16.4 percentage points below the cohort mean. She completed all 125 questions in 2 hours 35 minutes. A further 30 correct answers would reach the minimum whole-mark pass score of 82.<\/div><\/section>\n\n<section id=\"sections\"><h2>2. Section-by-section performance<\/h2><p class=\"lede\">The 65% line is a reference benchmark, not a separate pass rule for each section. RAG: Green \u226565%, Amber 50\u201364.9%, Red <50%.<\/p><div class=\"grid two\"><div><div class=\"barrow\"><div>Bacteria<\/div><div class=\"bartrack\"><span class=\"cut\" title=\"65% reference\"><\/span><span class=\"bar red\" style=\"width:22.7%\"><\/span><\/div><strong>22.7%<\/strong><\/div><div class=\"barrow\"><div>Virus<\/div><div class=\"bartrack\"><span class=\"cut\" title=\"65% reference\"><\/span><span class=\"bar amber\" style=\"width:52.2%\"><\/span><\/div><strong>52.2%<\/strong><\/div><div class=\"barrow\"><div>Mycology<\/div><div class=\"bartrack\"><span class=\"cut\" title=\"65% reference\"><\/span><span class=\"bar green\" style=\"width:85.7%\"><\/span><\/div><strong>85.7%<\/strong><\/div><div class=\"barrow\"><div>Parasitology<\/div><div class=\"bartrack\"><span class=\"cut\" title=\"65% reference\"><\/span><span class=\"bar red\" style=\"width:42.9%\"><\/span><\/div><strong>42.9%<\/strong><\/div><div class=\"barrow\"><div>Antibiotic<\/div><div class=\"bartrack\"><span class=\"cut\" title=\"65% reference\"><\/span><span class=\"bar amber\" style=\"width:58.8%\"><\/span><\/div><strong>58.8%<\/strong><\/div><div class=\"barrow\"><div>Infection\/Vaccine<\/div><div class=\"bartrack\"><span class=\"cut\" title=\"65% reference\"><\/span><span class=\"bar red\" style=\"width:46.2%\"><\/span><\/div><strong>46.2%<\/strong><\/div><div class=\"barrow\"><div>Lab<\/div><div class=\"bartrack\"><span class=\"cut\" title=\"65% reference\"><\/span><span class=\"bar red\" style=\"width:30.8%\"><\/span><\/div><strong>30.8%<\/strong><\/div><div class=\"barrow\"><div>IPC<\/div><div class=\"bartrack\"><span class=\"cut\" title=\"65% reference\"><\/span><span class=\"bar red\" style=\"width:20.0%\"><\/span><\/div><strong>20.0%<\/strong><\/div><\/div><div><table><thead><tr><th>Section<\/th><th>Score<\/th><th>Candidate X<\/th><th>Cohort<\/th><th>vs 65%<\/th><th>RAG<\/th><\/tr><\/thead><tbody><tr><td><button class=\"linkbtn\" data-section=\"Bacteria\">Bacteria<\/button><\/td><td>5\/22<\/td><td>22.7%<\/td><td>50.0%<\/td><td>-42.3 pp<\/td><td><span class=\"rag red\">Red<\/span><\/td><\/tr><tr><td><button class=\"linkbtn\" data-section=\"Virus\">Virus<\/button><\/td><td>12\/23<\/td><td>52.2%<\/td><td>60.1%<\/td><td>-12.8 pp<\/td><td><span class=\"rag amber\">Amber<\/span><\/td><\/tr><tr><td><button class=\"linkbtn\" data-section=\"Mycology\">Mycology<\/button><\/td><td>6\/7<\/td><td>85.7%<\/td><td>71.4%<\/td><td>+20.7 pp<\/td><td><span class=\"rag green\">Green<\/span><\/td><\/tr><tr><td><button class=\"linkbtn\" data-section=\"Parasitology\">Parasitology<\/button><\/td><td>3\/7<\/td><td>42.9%<\/td><td>61.9%<\/td><td>-22.1 pp<\/td><td><span class=\"rag red\">Red<\/span><\/td><\/tr><tr><td><button class=\"linkbtn\" data-section=\"Antibiotic\">Antibiotic<\/button><\/td><td>10\/17<\/td><td>58.8%<\/td><td>60.8%<\/td><td>-6.2 pp<\/td><td><span class=\"rag amber\">Amber<\/span><\/td><\/tr><tr><td><button class=\"linkbtn\" data-section=\"Infection\/Vaccine\">Infection\/Vaccine<\/button><\/td><td>6\/13<\/td><td>46.2%<\/td><td>52.6%<\/td><td>-18.8 pp<\/td><td><span class=\"rag red\">Red<\/span><\/td><\/tr><tr><td><button class=\"linkbtn\" data-section=\"Lab\">Lab<\/button><\/td><td>8\/26<\/td><td>30.8%<\/td><td>59.6%<\/td><td>-34.2 pp<\/td><td><span class=\"rag red\">Red<\/span><\/td><\/tr><tr><td><button class=\"linkbtn\" data-section=\"IPC\">IPC<\/button><\/td><td>2\/10<\/td><td>20.0%<\/td><td>56.7%<\/td><td>-45.0 pp<\/td><td><span class=\"rag red\">Red<\/span><\/td><\/tr><\/tbody><\/table><\/div><\/div><\/section>\n\n<section id=\"radar\"><h2>3. Topic profile<\/h2><p class=\"lede\">Candidate X\u2019s section percentages compared with the cohort mean and the 65% reference.<\/p><svg class=\"radar\" viewBox=\"0 0 520 470\" role=\"img\" aria-label=\"Radar chart comparing Candidate X, cohort mean and 65 percent reference\">\n <g class=\"radar-grid\"><polygon points=\"260.0,188.8 289.2,200.8 301.2,230.0 289.2,259.2 260.0,271.2 230.8,259.2 218.8,230.0 230.8,200.8\" fill=\"none\" stroke=\"#dce6ee\" stroke-width=\"1\"\/><polygon points=\"260.0,147.5 318.3,171.7 342.5,230.0 318.3,288.3 260.0,312.5 201.7,288.3 177.5,230.0 201.7,171.7\" fill=\"none\" stroke=\"#dce6ee\" stroke-width=\"1\"\/><polygon points=\"260.0,122.8 335.8,154.2 367.2,230.0 335.8,305.8 260.0,337.2 184.2,305.8 152.8,230.0 184.2,154.2\" fill=\"none\" stroke=\"#D97706\" stroke-width=\"2\" stroke-dasharray=\"6 5\"\/><polygon points=\"260.0,106.2 347.5,142.5 383.8,230.0 347.5,317.5 260.0,353.8 172.5,317.5 136.2,230.0 172.5,142.5\" fill=\"none\" stroke=\"#dce6ee\" stroke-width=\"1\"\/><polygon points=\"260.0,65.0 376.7,113.3 425.0,230.0 376.7,346.7 260.0,395.0 143.3,346.7 95.0,230.0 143.3,113.3\" fill=\"none\" stroke=\"#dce6ee\" stroke-width=\"1\"\/><line x1=\"260\" y1=\"230\" x2=\"260.0\" y2=\"65.0\" stroke=\"#dce6ee\"\/><line x1=\"260\" y1=\"230\" x2=\"376.7\" y2=\"113.3\" stroke=\"#dce6ee\"\/><line x1=\"260\" y1=\"230\" x2=\"425.0\" y2=\"230.0\" stroke=\"#dce6ee\"\/><line x1=\"260\" y1=\"230\" x2=\"376.7\" y2=\"346.7\" stroke=\"#dce6ee\"\/><line x1=\"260\" y1=\"230\" x2=\"260.0\" y2=\"395.0\" stroke=\"#dce6ee\"\/><line x1=\"260\" y1=\"230\" x2=\"143.3\" y2=\"346.7\" stroke=\"#dce6ee\"\/><line x1=\"260\" y1=\"230\" x2=\"95.0\" y2=\"230.0\" stroke=\"#dce6ee\"\/><line x1=\"260\" y1=\"230\" x2=\"143.3\" y2=\"113.3\" stroke=\"#dce6ee\"\/><text x=\"260.0\" y=\"38.6\" text-anchor=\"middle\" dominant-baseline=\"middle\">Bacteria<\/text><text x=\"395.3\" y=\"94.7\" text-anchor=\"start\" dominant-baseline=\"middle\">Virus<\/text><text x=\"451.4\" y=\"230.0\" text-anchor=\"start\" dominant-baseline=\"middle\">Mycology<\/text><text x=\"395.3\" y=\"365.3\" text-anchor=\"start\" dominant-baseline=\"middle\">Parasitology<\/text><text x=\"260.0\" y=\"421.4\" text-anchor=\"middle\" dominant-baseline=\"middle\">Antibiotic<\/text><text x=\"124.7\" y=\"365.3\" text-anchor=\"end\" dominant-baseline=\"middle\">Infect\/Vax<\/text><text x=\"68.6\" y=\"230.0\" text-anchor=\"end\" dominant-baseline=\"middle\">Lab<\/text><text x=\"124.7\" y=\"94.7\" text-anchor=\"end\" dominant-baseline=\"middle\">IPC<\/text><\/g>\n <polygon id=\"radarCohort\" points=\"260.0,147.5 330.1,159.9 377.8,230.0 332.2,302.2 260.0,330.3 198.6,291.4 161.7,230.0 193.8,163.8\" fill=\"rgba(36,161,156,.12)\" stroke=\"#24A19C\" stroke-width=\"3\"\/>\n <polygon id=\"radarCandidateX\" points=\"260.0,192.5 320.9,169.1 401.4,230.0 310.1,280.1 260.0,327.0 206.1,283.9 209.2,230.0 236.7,206.7\" fill=\"rgba(43,108,176,.18)\" stroke=\"#2B6CB0\" stroke-width=\"4\"\/>\n <\/svg><div class=\"legend\"><span>Candidate X<\/span><span>Cohort mean<\/span><span>65% reference<\/span><\/div><p class=\"note\">The cohort benchmark is indicative only because n=6. A single question changes small sections substantially.<\/p><\/section>\n\n<section id=\"types\"><h2>4. Performance by question type<\/h2><p class=\"lede\">All three question types were below 45%. Decision performance was highest at 43.2%, while Understanding was lowest at 40.5%.<\/p><table><thead><tr><th>Question type<\/th><th>Score<\/th><th>Candidate X<\/th><th>Cohort<\/th><th>vs 65%<\/th><th>RAG<\/th><\/tr><\/thead><tbody><tr><td>Decision<\/td><td>16\/37<\/td><td>43.2%<\/td><td>55.4%<\/td><td>-21.8 pp<\/td><td><span class=\"rag red\">Red<\/span><\/td><\/tr><tr><td>Recall<\/td><td>19\/46<\/td><td>41.3%<\/td><td>59.8%<\/td><td>-23.7 pp<\/td><td><span class=\"rag red\">Red<\/span><\/td><\/tr><tr><td>Understanding<\/td><td>17\/42<\/td><td>40.5%<\/td><td>58.3%<\/td><td>-24.5 pp<\/td><td><span class=\"rag red\">Red<\/span><\/td><\/tr><\/tbody><\/table><\/section>\n\n<section id=\"insights\"><h2>5. Key insights<\/h2><div class=\"grid insights\"><article class=\"insight\"><h3>Strengths<\/h3><p>Mycology was the clear strength at 85.7%, 14.3 points above the cohort. Antibiotic and Virus were the next strongest sections, at 58.8% and 52.2% respectively.<\/p><\/article><article class=\"insight warning\"><h3>Critical weakness<\/h3><p>IPC was 20.0%, Bacteria 22.7%, and Lab 30.8%. These high-volume sections accounted for 43 missed questions and require most of the study time.<\/p><\/article><article class=\"insight pattern\"><h3>Pattern analysis<\/h3><p>The weakness crosses Recall, Decision and Understanding questions, so this is not explained by one question style. Twenty-five missed items were answered correctly by at least two-thirds of the cohort and represent the first recoverable marks.<\/p><\/article><\/div>\n<div class=\"callout\"><strong>Exam-process signal:<\/strong> Candidate X completed all questions with 25 minutes remaining. Item-level timing is unavailable, so this cannot prove rushing. In the next mock, use remaining time to revisit flagged answers and justify why each alternative is wrong.<\/div><\/section>\n\n<section id=\"plan\"><h2>6. Next 14 days<\/h2><p class=\"lede\">Suggested daily structure: 30 minutes closed-book retrieval, 40 minutes targeted review, and 30\u201345 minutes of timed questions plus error correction.<\/p><p class=\"callout\"><strong>Course resource:<\/strong> <a href=\"https:\/\/docs.google.com\/spreadsheets\/d\/1XzlEPyzUM3ljxjzMrxpXLH-Pu_xTlWGC8AtrlRzp5Zw\/edit?gid=1285796030#gid=1285796030\" target=\"_blank\" rel=\"noopener\">Microregistrar MoodleCloud: content list<\/a><\/p><div class=\"plan\"><details open><summary><span>Day 1<\/span>Build the error log<\/summary><p>Re-answer all 73 missed items without notes. Classify each error as knowledge gap, misreading or failed elimination. Mark the 25 priority-review items for early retesting.<\/p><\/details><details open><summary><span>Day 2<\/span>Bacteria: identification<\/summary><p>Review organism profiles, culture media, biochemical identification and clinically important intrinsic characteristics. Complete 25 timed questions.<\/p><\/details><details open><summary><span>Day 3<\/span>Bacteria: clinical decisions<\/summary><p>Revise syndrome-to-organism links, diagnostic choices, resistance mechanisms and treatment decisions. Explain every rejected option.<\/p><\/details><details ><summary><span>Day 4<\/span>Laboratory: AST<\/summary><p>Review susceptibility methods, breakpoint interpretation, resistance detection, intrinsic resistance and quality control.<\/p><\/details><details ><summary><span>Day 5<\/span>Laboratory: methods<\/summary><p>Revise microscopy, culture, molecular diagnostics, serology, specimen selection and interpretation of discordant results.<\/p><\/details><details ><summary><span>Day 6<\/span>IPC<\/summary><p>Study transmission-based precautions, isolation, exposure management, decontamination, outbreaks and healthcare-associated infection decisions.<\/p><\/details><details ><summary><span>Day 7<\/span>Checkpoint<\/summary><p>Complete 63 mixed questions in 90 minutes. Review every incorrect or uncertain answer and update the error log.<\/p><\/details><details ><summary><span>Day 8<\/span>Virology<\/summary><p>Consolidate viral diagnosis, receptors, replication, resistance, vaccination and post-exposure decisions with a 25-question block.<\/p><\/details><details ><summary><span>Day 9<\/span>Antimicrobials<\/summary><p>Review mechanisms, spectra, resistance, interactions, toxicity and antimicrobial selection. Use rapid-retrieval tables.<\/p><\/details><details ><summary><span>Day 10<\/span>Infection and vaccines<\/summary><p>Revise vaccine indications and contraindications, pregnancy, exposure management and common clinical infection pathways.<\/p><\/details><details ><summary><span>Day 11<\/span>Parasitology<\/summary><p>Review malaria, helminths and protozoa through organism, diagnosis, treatment and prevention grids.<\/p><\/details><details ><summary><span>Day 12<\/span>Protect Mycology<\/summary><p>Use a short 20-question block to maintain the strongest section, then spend the remaining time on mixed Bacteria, Lab and IPC questions.<\/p><\/details><details ><summary><span>Day 13<\/span>Full timed mock<\/summary><p>Complete 125 questions in 180 minutes. Flag uncertainty on the first pass and deliberately use remaining time for review.<\/p><\/details><details ><summary><span>Day 14<\/span>Close the loop<\/summary><p>Rework all Day 13 errors, retest the 25 priority themes and finish with a 30-question block targeting at least 70%.<\/p><\/details><\/div><\/section>\n\n<section id=\"missed\"><h2>7. Missed questions<\/h2><p class=\"lede\">All 73 missed questions are listed. \u201cPriority review\u201d means at least 67% of this six-person cohort answered correctly; it is a prioritisation signal, not a measure of item quality.<\/p><div class=\"filters\"><select id=\"sectionFilter\"><option value=\"\">All sections<\/option><option value=\"Bacteria\">Bacteria<\/option><option value=\"Virus\">Virus<\/option><option value=\"Mycology\">Mycology<\/option><option value=\"Parasitology\">Parasitology<\/option><option value=\"Antibiotic\">Antibiotic<\/option><option value=\"Infection\/Vaccine\">Infection\/Vaccine<\/option><option value=\"Lab\">Lab<\/option><option value=\"IPC\">IPC<\/option><\/select><select id=\"typeFilter\"><option value=\"\">All question types<\/option><option>Decision based<\/option><option>Recall<\/option><option>Understanding<\/option><\/select><select id=\"priorityFilter\"><option value=\"\">All priorities<\/option><option>Priority review<\/option><option>Review<\/option><\/select><\/div>\n<div class=\"scroll\"><table id=\"missedTable\"><thead><tr><th>Question<\/th><th>Section<\/th><th>Type<\/th><th>Cohort correct<\/th><th>Priority<\/th><\/tr><\/thead><tbody><tr data-section=\"Lab\" data-type=\"Recall\"><td>Q2<\/td><td>Lab<\/td><td>Recall<\/td><td>17%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Understanding\"><td>Q7<\/td><td>Lab<\/td><td>Understanding<\/td><td>83%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Infection\/Vaccine\" data-type=\"Recall\"><td>Q8<\/td><td>Infection\/Vaccine<\/td><td>Recall<\/td><td>67%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"IPC\" data-type=\"Decision based\"><td>Q9<\/td><td>IPC<\/td><td>Decision<\/td><td>83%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Understanding\"><td>Q10<\/td><td>Lab<\/td><td>Understanding<\/td><td>17%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Recall\"><td>Q11<\/td><td>Bacteria<\/td><td>Recall<\/td><td>67%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Decision based\"><td>Q12<\/td><td>Bacteria<\/td><td>Decision<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Recall\"><td>Q13<\/td><td>Bacteria<\/td><td>Recall<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Virus\" data-type=\"Decision based\"><td>Q14<\/td><td>Virus<\/td><td>Decision<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Virus\" data-type=\"Understanding\"><td>Q15<\/td><td>Virus<\/td><td>Understanding<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Virus\" data-type=\"Understanding\"><td>Q16<\/td><td>Virus<\/td><td>Understanding<\/td><td>17%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Virus\" data-type=\"Understanding\"><td>Q17<\/td><td>Virus<\/td><td>Understanding<\/td><td>83%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Recall\"><td>Q18<\/td><td>Bacteria<\/td><td>Recall<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Understanding\"><td>Q21<\/td><td>Bacteria<\/td><td>Understanding<\/td><td>83%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Recall\"><td>Q23<\/td><td>Bacteria<\/td><td>Recall<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Decision based\"><td>Q24<\/td><td>Bacteria<\/td><td>Decision<\/td><td>83%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Parasitology\" data-type=\"Understanding\"><td>Q25<\/td><td>Parasitology<\/td><td>Understanding<\/td><td>67%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Virus\" data-type=\"Recall\"><td>Q27<\/td><td>Virus<\/td><td>Recall<\/td><td>17%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Virus\" data-type=\"Recall\"><td>Q30<\/td><td>Virus<\/td><td>Recall<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Infection\/Vaccine\" data-type=\"Decision based\"><td>Q31<\/td><td>Infection\/Vaccine<\/td><td>Decision<\/td><td>0%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Mycology\" data-type=\"Decision based\"><td>Q34<\/td><td>Mycology<\/td><td>Decision<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Parasitology\" data-type=\"Understanding\"><td>Q38<\/td><td>Parasitology<\/td><td>Understanding<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Parasitology\" data-type=\"Understanding\"><td>Q39<\/td><td>Parasitology<\/td><td>Understanding<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Antibiotic\" data-type=\"Recall\"><td>Q42<\/td><td>Antibiotic<\/td><td>Recall<\/td><td>83%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Decision based\"><td>Q43<\/td><td>Bacteria<\/td><td>Decision<\/td><td>67%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"IPC\" data-type=\"Decision based\"><td>Q44<\/td><td>IPC<\/td><td>Decision<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Virus\" data-type=\"Decision based\"><td>Q45<\/td><td>Virus<\/td><td>Decision<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Recall\"><td>Q47<\/td><td>Lab<\/td><td>Recall<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Infection\/Vaccine\" data-type=\"Decision based\"><td>Q51<\/td><td>Infection\/Vaccine<\/td><td>Decision<\/td><td>17%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Understanding\"><td>Q54<\/td><td>Lab<\/td><td>Understanding<\/td><td>83%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"IPC\" data-type=\"Decision based\"><td>Q55<\/td><td>IPC<\/td><td>Decision<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Antibiotic\" data-type=\"Recall\"><td>Q57<\/td><td>Antibiotic<\/td><td>Recall<\/td><td>17%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Antibiotic\" data-type=\"Understanding\"><td>Q60<\/td><td>Antibiotic<\/td><td>Understanding<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Antibiotic\" data-type=\"Understanding\"><td>Q61<\/td><td>Antibiotic<\/td><td>Understanding<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Understanding\"><td>Q62<\/td><td>Bacteria<\/td><td>Understanding<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Understanding\"><td>Q63<\/td><td>Bacteria<\/td><td>Understanding<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Understanding\"><td>Q64<\/td><td>Lab<\/td><td>Understanding<\/td><td>67%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Understanding\"><td>Q65<\/td><td>Lab<\/td><td>Understanding<\/td><td>67%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Infection\/Vaccine\" data-type=\"Decision based\"><td>Q66<\/td><td>Infection\/Vaccine<\/td><td>Decision<\/td><td>83%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"IPC\" data-type=\"Recall\"><td>Q67<\/td><td>IPC<\/td><td>Recall<\/td><td>67%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Understanding\"><td>Q68<\/td><td>Bacteria<\/td><td>Understanding<\/td><td>67%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Recall\"><td>Q69<\/td><td>Bacteria<\/td><td>Recall<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Recall\"><td>Q70<\/td><td>Lab<\/td><td>Recall<\/td><td>83%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Virus\" data-type=\"Recall\"><td>Q72<\/td><td>Virus<\/td><td>Recall<\/td><td>67%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Virus\" data-type=\"Decision based\"><td>Q75<\/td><td>Virus<\/td><td>Decision<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Antibiotic\" data-type=\"Recall\"><td>Q76<\/td><td>Antibiotic<\/td><td>Recall<\/td><td>83%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Recall\"><td>Q77<\/td><td>Lab<\/td><td>Recall<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Virus\" data-type=\"Decision based\"><td>Q78<\/td><td>Virus<\/td><td>Decision<\/td><td>67%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Virus\" data-type=\"Decision based\"><td>Q79<\/td><td>Virus<\/td><td>Decision<\/td><td>17%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Recall\"><td>Q81<\/td><td>Bacteria<\/td><td>Recall<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Recall\"><td>Q82<\/td><td>Bacteria<\/td><td>Recall<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Recall\"><td>Q83<\/td><td>Bacteria<\/td><td>Recall<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Recall\"><td>Q85<\/td><td>Bacteria<\/td><td>Recall<\/td><td>67%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Antibiotic\" data-type=\"Understanding\"><td>Q87<\/td><td>Antibiotic<\/td><td>Understanding<\/td><td>17%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Recall\"><td>Q89<\/td><td>Lab<\/td><td>Recall<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Understanding\"><td>Q90<\/td><td>Lab<\/td><td>Understanding<\/td><td>83%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Understanding\"><td>Q92<\/td><td>Lab<\/td><td>Understanding<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"IPC\" data-type=\"Understanding\"><td>Q94<\/td><td>IPC<\/td><td>Understanding<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Understanding\"><td>Q95<\/td><td>Lab<\/td><td>Understanding<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"IPC\" data-type=\"Recall\"><td>Q97<\/td><td>IPC<\/td><td>Recall<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"IPC\" data-type=\"Decision based\"><td>Q99<\/td><td>IPC<\/td><td>Decision<\/td><td>83%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Antibiotic\" data-type=\"Recall\"><td>Q100<\/td><td>Antibiotic<\/td><td>Recall<\/td><td>17%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Infection\/Vaccine\" data-type=\"Decision based\"><td>Q101<\/td><td>Infection\/Vaccine<\/td><td>Decision<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Recall\"><td>Q105<\/td><td>Lab<\/td><td>Recall<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Understanding\"><td>Q108<\/td><td>Lab<\/td><td>Understanding<\/td><td>67%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Understanding\"><td>Q109<\/td><td>Lab<\/td><td>Understanding<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"IPC\" data-type=\"Decision based\"><td>Q111<\/td><td>IPC<\/td><td>Decision<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Recall\"><td>Q112<\/td><td>Lab<\/td><td>Recall<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Infection\/Vaccine\" data-type=\"Recall\"><td>Q113<\/td><td>Infection\/Vaccine<\/td><td>Recall<\/td><td>67%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Parasitology\" data-type=\"Decision based\"><td>Q115<\/td><td>Parasitology<\/td><td>Decision<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Infection\/Vaccine\" data-type=\"Decision based\"><td>Q119<\/td><td>Infection\/Vaccine<\/td><td>Decision<\/td><td>0%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Decision based\"><td>Q122<\/td><td>Bacteria<\/td><td>Decision<\/td><td>17%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Understanding\"><td>Q124<\/td><td>Lab<\/td><td>Understanding<\/td><td>17%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><\/tbody><\/table><\/div><p id=\"count\" class=\"note\"><\/p><\/section>\n\n<section><h2>8. How to use this feedback<\/h2><p>Prioritise the intersection of a weak section and a missed recall\/decision item. Re-answer before reading notes, explain why each distractor is wrong, and retest after 48\u201372 hours. Record scores from the Day 7 and Day 13 timed blocks; the target is at least 65%, with no section below 50%.<\/p><p class=\"note\"><strong>Method note:<\/strong> Any unanswered entries would be scored as zero; Candidate X answered all 125 questions. Difficulty ratings were not used to generate the study priorities because they were supplied as subjective. Topic labels were normalised only to create the eight requested sections. Cohort comparisons are descriptive and unstable at n=6.<\/p><\/section>\n<\/main><footer>Prepared for Candidate X from the supplied question taxonomy and candidate-grade workbooks.<\/footer>\n<script>\nconst rows=[...document.querySelectorAll('#missedTable tbody tr')];\nconst sf=document.querySelector('#sectionFilter'), tf=document.querySelector('#typeFilter'), pf=document.querySelector('#priorityFilter'), count=document.querySelector('#count');\nfunction filterRows(){let shown=0;rows.forEach(r=>{const ok=(!sf.value||r.dataset.section===sf.value)&&(!tf.value||r.dataset.type===tf.value)&&(!pf.value||r.textContent.includes(pf.value));r.style.display=ok?'':'none';if(ok)shown++;});count.textContent=`Showing ${shown} of ${rows.length} missed 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{"id":1417,"date":"2026-09-02T00:28:01","date_gmt":"2026-09-01T23:28:01","guid":{"rendered":"https:\/\/microregistrar.com\/?p=1417"},"modified":"2026-09-02T00:32:52","modified_gmt":"2026-09-01T23:32:52","slug":"microquora-frcpath-mock-exam-feedback-example","status":"publish","type":"post","link":"https:\/\/microregistrar.com\/?p=1417","title":{"rendered":"Microquora FRCPath Mock exam feedback example"},"content":{"rendered":"\n\n\nCandidate X: Part 1 Mock Feedback<\/title>\n<style>\n:root{--navy:#183B56;--blue:#2B6CB0;--teal:#24A19C;--amber:#D97706;--red:#C53030;--green:#2F855A;--ink:#243746;--muted:#617586;--paper:#fff;--wash:#F3F7FA;--line:#D9E4EC}\n*{box-sizing:border-box} body{margin:0;background:var(--wash);color:var(--ink);font-family:Inter,Segoe UI,Arial,sans-serif;line-height:1.45}\n.hero{background:linear-gradient(125deg,var(--navy),#245C79 72%,var(--teal));color:white;padding:42px max(24px,calc((100vw - 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*{box-sizing:border-box}\n.feedback-report .hero{padding:32px max(18px,4cqi)}\n.feedback-report .toolbar{max-width:100%;flex-wrap:wrap;position:static;overflow:visible}\n.feedback-report main{width:100%;max-width:100%;min-width:0;margin:18px auto 60px;padding:0 12px}\n.feedback-report section{width:100%;max-width:100%;min-width:0;padding:clamp(16px,4cqi,26px)}\n.feedback-report .grid>*{min-width:0}\n.feedback-report .metrics{grid-template-columns:repeat(auto-fit,minmax(min(100%,160px),1fr))}\n.feedback-report .two{grid-template-columns:repeat(auto-fit,minmax(min(100%,420px),1fr))}\n.feedback-report .insights{grid-template-columns:repeat(auto-fit,minmax(min(100%,250px),1fr))}\n.feedback-report .barrow{grid-template-columns:minmax(90px,145px) minmax(0,1fr) 58px}\n.feedback-report .plan{columns:1}\n.feedback-report .scroll{width:100%;max-width:100%;overflow-x:auto}\n.feedback-report table{max-width:100%}\n.feedback-report .radar{max-width:100%;height:auto}\n@container (min-width:760px){.feedback-report .plan{columns:2}}\n<\/style><\/head><body><div class=\"feedback-report\">\n<header class=\"hero\"><div class=\"eyebrow\">Anonymised example: Autumn 2026 Part 1 mock examination<\/div><h1>Individual performance feedback<\/h1><p>Candidate X: evidence-led review of 125 questions, benchmarked against the six-candidate cohort.<\/p><\/header>\n<nav class=\"toolbar\"><button data-go=\"overall\">Overall<\/button><button data-go=\"sections\">Sections<\/button><button data-go=\"insights\">Insights<\/button><button data-go=\"plan\">14-day plan<\/button><button data-go=\"missed\">Missed questions<\/button><button onclick=\"window.print()\">Print \/ save PDF<\/button><\/nav>\n<main>\n<section id=\"overall\"><h2>1. Overall performance<\/h2><p class=\"lede\">The pass mark was 65%. Candidate X scored below the threshold and below the cohort mean.<\/p>\n<div class=\"grid metrics\"><div class=\"metric\"><small>Total score<\/small><b>52\/125<\/b><\/div><div class=\"metric\"><small>Percentage<\/small><b class=\"fail\">41.6%<\/b><\/div><div class=\"metric\"><small>Minimum whole-mark pass<\/small><b>82\/125<\/b><\/div><div class=\"metric\"><small>Deficit to pass<\/small><b class=\"fail\">30 marks<\/b><\/div><div class=\"metric\"><small>Cohort mean<\/small><b>58.0%<\/b><\/div><\/div>\n<div class=\"callout\"><strong>Position:<\/strong> 6th of 6. Candidate X was 16.4 percentage points below the cohort mean. She completed all 125 questions in 2 hours 35 minutes. A further 30 correct answers would reach the minimum whole-mark pass score of 82.<\/div><\/section>\n\n<section id=\"sections\"><h2>2. Section-by-section performance<\/h2><p class=\"lede\">The 65% line is a reference benchmark, not a separate pass rule for each section. RAG: Green \u226565%, Amber 50\u201364.9%, Red <50%.<\/p><div class=\"grid two\"><div><div class=\"barrow\"><div>Bacteria<\/div><div class=\"bartrack\"><span class=\"cut\" title=\"65% reference\"><\/span><span class=\"bar red\" style=\"width:22.7%\"><\/span><\/div><strong>22.7%<\/strong><\/div><div class=\"barrow\"><div>Virus<\/div><div class=\"bartrack\"><span class=\"cut\" title=\"65% reference\"><\/span><span class=\"bar amber\" style=\"width:52.2%\"><\/span><\/div><strong>52.2%<\/strong><\/div><div class=\"barrow\"><div>Mycology<\/div><div class=\"bartrack\"><span class=\"cut\" title=\"65% reference\"><\/span><span class=\"bar green\" style=\"width:85.7%\"><\/span><\/div><strong>85.7%<\/strong><\/div><div class=\"barrow\"><div>Parasitology<\/div><div class=\"bartrack\"><span class=\"cut\" title=\"65% reference\"><\/span><span class=\"bar red\" style=\"width:42.9%\"><\/span><\/div><strong>42.9%<\/strong><\/div><div class=\"barrow\"><div>Antibiotic<\/div><div class=\"bartrack\"><span class=\"cut\" title=\"65% reference\"><\/span><span class=\"bar amber\" style=\"width:58.8%\"><\/span><\/div><strong>58.8%<\/strong><\/div><div class=\"barrow\"><div>Infection\/Vaccine<\/div><div class=\"bartrack\"><span class=\"cut\" title=\"65% reference\"><\/span><span class=\"bar red\" style=\"width:46.2%\"><\/span><\/div><strong>46.2%<\/strong><\/div><div class=\"barrow\"><div>Lab<\/div><div class=\"bartrack\"><span class=\"cut\" title=\"65% reference\"><\/span><span class=\"bar red\" style=\"width:30.8%\"><\/span><\/div><strong>30.8%<\/strong><\/div><div class=\"barrow\"><div>IPC<\/div><div class=\"bartrack\"><span class=\"cut\" title=\"65% reference\"><\/span><span class=\"bar red\" style=\"width:20.0%\"><\/span><\/div><strong>20.0%<\/strong><\/div><\/div><div><table><thead><tr><th>Section<\/th><th>Score<\/th><th>Candidate X<\/th><th>Cohort<\/th><th>vs 65%<\/th><th>RAG<\/th><\/tr><\/thead><tbody><tr><td><button class=\"linkbtn\" data-section=\"Bacteria\">Bacteria<\/button><\/td><td>5\/22<\/td><td>22.7%<\/td><td>50.0%<\/td><td>-42.3 pp<\/td><td><span class=\"rag red\">Red<\/span><\/td><\/tr><tr><td><button class=\"linkbtn\" data-section=\"Virus\">Virus<\/button><\/td><td>12\/23<\/td><td>52.2%<\/td><td>60.1%<\/td><td>-12.8 pp<\/td><td><span class=\"rag amber\">Amber<\/span><\/td><\/tr><tr><td><button class=\"linkbtn\" data-section=\"Mycology\">Mycology<\/button><\/td><td>6\/7<\/td><td>85.7%<\/td><td>71.4%<\/td><td>+20.7 pp<\/td><td><span class=\"rag green\">Green<\/span><\/td><\/tr><tr><td><button class=\"linkbtn\" data-section=\"Parasitology\">Parasitology<\/button><\/td><td>3\/7<\/td><td>42.9%<\/td><td>61.9%<\/td><td>-22.1 pp<\/td><td><span class=\"rag red\">Red<\/span><\/td><\/tr><tr><td><button class=\"linkbtn\" data-section=\"Antibiotic\">Antibiotic<\/button><\/td><td>10\/17<\/td><td>58.8%<\/td><td>60.8%<\/td><td>-6.2 pp<\/td><td><span class=\"rag amber\">Amber<\/span><\/td><\/tr><tr><td><button class=\"linkbtn\" data-section=\"Infection\/Vaccine\">Infection\/Vaccine<\/button><\/td><td>6\/13<\/td><td>46.2%<\/td><td>52.6%<\/td><td>-18.8 pp<\/td><td><span class=\"rag red\">Red<\/span><\/td><\/tr><tr><td><button class=\"linkbtn\" data-section=\"Lab\">Lab<\/button><\/td><td>8\/26<\/td><td>30.8%<\/td><td>59.6%<\/td><td>-34.2 pp<\/td><td><span class=\"rag red\">Red<\/span><\/td><\/tr><tr><td><button class=\"linkbtn\" data-section=\"IPC\">IPC<\/button><\/td><td>2\/10<\/td><td>20.0%<\/td><td>56.7%<\/td><td>-45.0 pp<\/td><td><span class=\"rag red\">Red<\/span><\/td><\/tr><\/tbody><\/table><\/div><\/div><\/section>\n\n<section id=\"radar\"><h2>3. Topic profile<\/h2><p class=\"lede\">Candidate X\u2019s section percentages compared with the cohort mean and the 65% reference.<\/p><svg class=\"radar\" viewBox=\"0 0 520 470\" role=\"img\" aria-label=\"Radar chart comparing Candidate X, cohort mean and 65 percent reference\">\n <g class=\"radar-grid\"><polygon points=\"260.0,188.8 289.2,200.8 301.2,230.0 289.2,259.2 260.0,271.2 230.8,259.2 218.8,230.0 230.8,200.8\" fill=\"none\" stroke=\"#dce6ee\" stroke-width=\"1\"\/><polygon points=\"260.0,147.5 318.3,171.7 342.5,230.0 318.3,288.3 260.0,312.5 201.7,288.3 177.5,230.0 201.7,171.7\" fill=\"none\" stroke=\"#dce6ee\" stroke-width=\"1\"\/><polygon points=\"260.0,122.8 335.8,154.2 367.2,230.0 335.8,305.8 260.0,337.2 184.2,305.8 152.8,230.0 184.2,154.2\" fill=\"none\" stroke=\"#D97706\" stroke-width=\"2\" stroke-dasharray=\"6 5\"\/><polygon points=\"260.0,106.2 347.5,142.5 383.8,230.0 347.5,317.5 260.0,353.8 172.5,317.5 136.2,230.0 172.5,142.5\" fill=\"none\" stroke=\"#dce6ee\" stroke-width=\"1\"\/><polygon points=\"260.0,65.0 376.7,113.3 425.0,230.0 376.7,346.7 260.0,395.0 143.3,346.7 95.0,230.0 143.3,113.3\" fill=\"none\" stroke=\"#dce6ee\" stroke-width=\"1\"\/><line x1=\"260\" y1=\"230\" x2=\"260.0\" y2=\"65.0\" stroke=\"#dce6ee\"\/><line x1=\"260\" y1=\"230\" x2=\"376.7\" y2=\"113.3\" stroke=\"#dce6ee\"\/><line x1=\"260\" y1=\"230\" x2=\"425.0\" y2=\"230.0\" stroke=\"#dce6ee\"\/><line x1=\"260\" y1=\"230\" x2=\"376.7\" y2=\"346.7\" stroke=\"#dce6ee\"\/><line x1=\"260\" y1=\"230\" x2=\"260.0\" y2=\"395.0\" stroke=\"#dce6ee\"\/><line x1=\"260\" y1=\"230\" x2=\"143.3\" y2=\"346.7\" stroke=\"#dce6ee\"\/><line x1=\"260\" y1=\"230\" x2=\"95.0\" y2=\"230.0\" stroke=\"#dce6ee\"\/><line x1=\"260\" y1=\"230\" x2=\"143.3\" y2=\"113.3\" stroke=\"#dce6ee\"\/><text x=\"260.0\" y=\"38.6\" text-anchor=\"middle\" dominant-baseline=\"middle\">Bacteria<\/text><text x=\"395.3\" y=\"94.7\" text-anchor=\"start\" dominant-baseline=\"middle\">Virus<\/text><text x=\"451.4\" y=\"230.0\" text-anchor=\"start\" dominant-baseline=\"middle\">Mycology<\/text><text x=\"395.3\" y=\"365.3\" text-anchor=\"start\" dominant-baseline=\"middle\">Parasitology<\/text><text x=\"260.0\" y=\"421.4\" text-anchor=\"middle\" dominant-baseline=\"middle\">Antibiotic<\/text><text x=\"124.7\" y=\"365.3\" text-anchor=\"end\" dominant-baseline=\"middle\">Infect\/Vax<\/text><text x=\"68.6\" y=\"230.0\" text-anchor=\"end\" dominant-baseline=\"middle\">Lab<\/text><text x=\"124.7\" y=\"94.7\" text-anchor=\"end\" dominant-baseline=\"middle\">IPC<\/text><\/g>\n <polygon id=\"radarCohort\" points=\"260.0,147.5 330.1,159.9 377.8,230.0 332.2,302.2 260.0,330.3 198.6,291.4 161.7,230.0 193.8,163.8\" fill=\"rgba(36,161,156,.12)\" stroke=\"#24A19C\" stroke-width=\"3\"\/>\n <polygon id=\"radarCandidateX\" points=\"260.0,192.5 320.9,169.1 401.4,230.0 310.1,280.1 260.0,327.0 206.1,283.9 209.2,230.0 236.7,206.7\" fill=\"rgba(43,108,176,.18)\" stroke=\"#2B6CB0\" stroke-width=\"4\"\/>\n <\/svg><div class=\"legend\"><span>Candidate X<\/span><span>Cohort mean<\/span><span>65% reference<\/span><\/div><p class=\"note\">The cohort benchmark is indicative only because n=6. A single question changes small sections substantially.<\/p><\/section>\n\n<section id=\"types\"><h2>4. Performance by question type<\/h2><p class=\"lede\">All three question types were below 45%. Decision performance was highest at 43.2%, while Understanding was lowest at 40.5%.<\/p><table><thead><tr><th>Question type<\/th><th>Score<\/th><th>Candidate X<\/th><th>Cohort<\/th><th>vs 65%<\/th><th>RAG<\/th><\/tr><\/thead><tbody><tr><td>Decision<\/td><td>16\/37<\/td><td>43.2%<\/td><td>55.4%<\/td><td>-21.8 pp<\/td><td><span class=\"rag red\">Red<\/span><\/td><\/tr><tr><td>Recall<\/td><td>19\/46<\/td><td>41.3%<\/td><td>59.8%<\/td><td>-23.7 pp<\/td><td><span class=\"rag red\">Red<\/span><\/td><\/tr><tr><td>Understanding<\/td><td>17\/42<\/td><td>40.5%<\/td><td>58.3%<\/td><td>-24.5 pp<\/td><td><span class=\"rag red\">Red<\/span><\/td><\/tr><\/tbody><\/table><\/section>\n\n<section id=\"insights\"><h2>5. Key insights<\/h2><div class=\"grid insights\"><article class=\"insight\"><h3>Strengths<\/h3><p>Mycology was the clear strength at 85.7%, 14.3 points above the cohort. Antibiotic and Virus were the next strongest sections, at 58.8% and 52.2% respectively.<\/p><\/article><article class=\"insight warning\"><h3>Critical weakness<\/h3><p>IPC was 20.0%, Bacteria 22.7%, and Lab 30.8%. These high-volume sections accounted for 43 missed questions and require most of the study time.<\/p><\/article><article class=\"insight pattern\"><h3>Pattern analysis<\/h3><p>The weakness crosses Recall, Decision and Understanding questions, so this is not explained by one question style. Twenty-five missed items were answered correctly by at least two-thirds of the cohort and represent the first recoverable marks.<\/p><\/article><\/div>\n<div class=\"callout\"><strong>Exam-process signal:<\/strong> Candidate X completed all questions with 25 minutes remaining. Item-level timing is unavailable, so this cannot prove rushing. In the next mock, use remaining time to revisit flagged answers and justify why each alternative is wrong.<\/div><\/section>\n\n<section id=\"plan\"><h2>6. Next 14 days<\/h2><p class=\"lede\">Suggested daily structure: 30 minutes closed-book retrieval, 40 minutes targeted review, and 30\u201345 minutes of timed questions plus error correction.<\/p><p class=\"callout\"><strong>Course resource:<\/strong> <a href=\"https:\/\/docs.google.com\/spreadsheets\/d\/1XzlEPyzUM3ljxjzMrxpXLH-Pu_xTlWGC8AtrlRzp5Zw\/edit?gid=1285796030#gid=1285796030\" target=\"_blank\" rel=\"noopener\">Microregistrar MoodleCloud: content list<\/a><\/p><div class=\"plan\"><details open><summary><span>Day 1<\/span>Build the error log<\/summary><p>Re-answer all 73 missed items without notes. Classify each error as knowledge gap, misreading or failed elimination. Mark the 25 priority-review items for early retesting.<\/p><\/details><details open><summary><span>Day 2<\/span>Bacteria: identification<\/summary><p>Review organism profiles, culture media, biochemical identification and clinically important intrinsic characteristics. Complete 25 timed questions.<\/p><\/details><details open><summary><span>Day 3<\/span>Bacteria: clinical decisions<\/summary><p>Revise syndrome-to-organism links, diagnostic choices, resistance mechanisms and treatment decisions. Explain every rejected option.<\/p><\/details><details ><summary><span>Day 4<\/span>Laboratory: AST<\/summary><p>Review susceptibility methods, breakpoint interpretation, resistance detection, intrinsic resistance and quality control.<\/p><\/details><details ><summary><span>Day 5<\/span>Laboratory: methods<\/summary><p>Revise microscopy, culture, molecular diagnostics, serology, specimen selection and interpretation of discordant results.<\/p><\/details><details ><summary><span>Day 6<\/span>IPC<\/summary><p>Study transmission-based precautions, isolation, exposure management, decontamination, outbreaks and healthcare-associated infection decisions.<\/p><\/details><details ><summary><span>Day 7<\/span>Checkpoint<\/summary><p>Complete 63 mixed questions in 90 minutes. Review every incorrect or uncertain answer and update the error log.<\/p><\/details><details ><summary><span>Day 8<\/span>Virology<\/summary><p>Consolidate viral diagnosis, receptors, replication, resistance, vaccination and post-exposure decisions with a 25-question block.<\/p><\/details><details ><summary><span>Day 9<\/span>Antimicrobials<\/summary><p>Review mechanisms, spectra, resistance, interactions, toxicity and antimicrobial selection. Use rapid-retrieval tables.<\/p><\/details><details ><summary><span>Day 10<\/span>Infection and vaccines<\/summary><p>Revise vaccine indications and contraindications, pregnancy, exposure management and common clinical infection pathways.<\/p><\/details><details ><summary><span>Day 11<\/span>Parasitology<\/summary><p>Review malaria, helminths and protozoa through organism, diagnosis, treatment and prevention grids.<\/p><\/details><details ><summary><span>Day 12<\/span>Protect Mycology<\/summary><p>Use a short 20-question block to maintain the strongest section, then spend the remaining time on mixed Bacteria, Lab and IPC questions.<\/p><\/details><details ><summary><span>Day 13<\/span>Full timed mock<\/summary><p>Complete 125 questions in 180 minutes. Flag uncertainty on the first pass and deliberately use remaining time for review.<\/p><\/details><details ><summary><span>Day 14<\/span>Close the loop<\/summary><p>Rework all Day 13 errors, retest the 25 priority themes and finish with a 30-question block targeting at least 70%.<\/p><\/details><\/div><\/section>\n\n<section id=\"missed\"><h2>7. Missed questions<\/h2><p class=\"lede\">All 73 missed questions are listed. \u201cPriority review\u201d means at least 67% of this six-person cohort answered correctly; it is a prioritisation signal, not a measure of item quality.<\/p><div class=\"filters\"><select id=\"sectionFilter\"><option value=\"\">All sections<\/option><option value=\"Bacteria\">Bacteria<\/option><option value=\"Virus\">Virus<\/option><option value=\"Mycology\">Mycology<\/option><option value=\"Parasitology\">Parasitology<\/option><option value=\"Antibiotic\">Antibiotic<\/option><option value=\"Infection\/Vaccine\">Infection\/Vaccine<\/option><option value=\"Lab\">Lab<\/option><option value=\"IPC\">IPC<\/option><\/select><select id=\"typeFilter\"><option value=\"\">All question types<\/option><option>Decision based<\/option><option>Recall<\/option><option>Understanding<\/option><\/select><select id=\"priorityFilter\"><option value=\"\">All priorities<\/option><option>Priority review<\/option><option>Review<\/option><\/select><\/div>\n<div class=\"scroll\"><table id=\"missedTable\"><thead><tr><th>Question<\/th><th>Section<\/th><th>Type<\/th><th>Cohort correct<\/th><th>Priority<\/th><\/tr><\/thead><tbody><tr data-section=\"Lab\" data-type=\"Recall\"><td>Q2<\/td><td>Lab<\/td><td>Recall<\/td><td>17%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Understanding\"><td>Q7<\/td><td>Lab<\/td><td>Understanding<\/td><td>83%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Infection\/Vaccine\" data-type=\"Recall\"><td>Q8<\/td><td>Infection\/Vaccine<\/td><td>Recall<\/td><td>67%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"IPC\" data-type=\"Decision based\"><td>Q9<\/td><td>IPC<\/td><td>Decision<\/td><td>83%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Understanding\"><td>Q10<\/td><td>Lab<\/td><td>Understanding<\/td><td>17%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Recall\"><td>Q11<\/td><td>Bacteria<\/td><td>Recall<\/td><td>67%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Decision based\"><td>Q12<\/td><td>Bacteria<\/td><td>Decision<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Recall\"><td>Q13<\/td><td>Bacteria<\/td><td>Recall<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Virus\" data-type=\"Decision based\"><td>Q14<\/td><td>Virus<\/td><td>Decision<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Virus\" data-type=\"Understanding\"><td>Q15<\/td><td>Virus<\/td><td>Understanding<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Virus\" data-type=\"Understanding\"><td>Q16<\/td><td>Virus<\/td><td>Understanding<\/td><td>17%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Virus\" data-type=\"Understanding\"><td>Q17<\/td><td>Virus<\/td><td>Understanding<\/td><td>83%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Recall\"><td>Q18<\/td><td>Bacteria<\/td><td>Recall<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Understanding\"><td>Q21<\/td><td>Bacteria<\/td><td>Understanding<\/td><td>83%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Recall\"><td>Q23<\/td><td>Bacteria<\/td><td>Recall<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Decision based\"><td>Q24<\/td><td>Bacteria<\/td><td>Decision<\/td><td>83%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Parasitology\" data-type=\"Understanding\"><td>Q25<\/td><td>Parasitology<\/td><td>Understanding<\/td><td>67%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Virus\" data-type=\"Recall\"><td>Q27<\/td><td>Virus<\/td><td>Recall<\/td><td>17%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Virus\" data-type=\"Recall\"><td>Q30<\/td><td>Virus<\/td><td>Recall<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Infection\/Vaccine\" data-type=\"Decision based\"><td>Q31<\/td><td>Infection\/Vaccine<\/td><td>Decision<\/td><td>0%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Mycology\" data-type=\"Decision based\"><td>Q34<\/td><td>Mycology<\/td><td>Decision<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Parasitology\" data-type=\"Understanding\"><td>Q38<\/td><td>Parasitology<\/td><td>Understanding<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Parasitology\" data-type=\"Understanding\"><td>Q39<\/td><td>Parasitology<\/td><td>Understanding<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Antibiotic\" data-type=\"Recall\"><td>Q42<\/td><td>Antibiotic<\/td><td>Recall<\/td><td>83%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Decision based\"><td>Q43<\/td><td>Bacteria<\/td><td>Decision<\/td><td>67%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"IPC\" data-type=\"Decision based\"><td>Q44<\/td><td>IPC<\/td><td>Decision<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Virus\" data-type=\"Decision based\"><td>Q45<\/td><td>Virus<\/td><td>Decision<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Recall\"><td>Q47<\/td><td>Lab<\/td><td>Recall<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Infection\/Vaccine\" data-type=\"Decision based\"><td>Q51<\/td><td>Infection\/Vaccine<\/td><td>Decision<\/td><td>17%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Understanding\"><td>Q54<\/td><td>Lab<\/td><td>Understanding<\/td><td>83%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"IPC\" data-type=\"Decision based\"><td>Q55<\/td><td>IPC<\/td><td>Decision<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Antibiotic\" data-type=\"Recall\"><td>Q57<\/td><td>Antibiotic<\/td><td>Recall<\/td><td>17%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Antibiotic\" data-type=\"Understanding\"><td>Q60<\/td><td>Antibiotic<\/td><td>Understanding<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Antibiotic\" data-type=\"Understanding\"><td>Q61<\/td><td>Antibiotic<\/td><td>Understanding<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Understanding\"><td>Q62<\/td><td>Bacteria<\/td><td>Understanding<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Understanding\"><td>Q63<\/td><td>Bacteria<\/td><td>Understanding<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Understanding\"><td>Q64<\/td><td>Lab<\/td><td>Understanding<\/td><td>67%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Understanding\"><td>Q65<\/td><td>Lab<\/td><td>Understanding<\/td><td>67%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Infection\/Vaccine\" data-type=\"Decision based\"><td>Q66<\/td><td>Infection\/Vaccine<\/td><td>Decision<\/td><td>83%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"IPC\" data-type=\"Recall\"><td>Q67<\/td><td>IPC<\/td><td>Recall<\/td><td>67%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Understanding\"><td>Q68<\/td><td>Bacteria<\/td><td>Understanding<\/td><td>67%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Recall\"><td>Q69<\/td><td>Bacteria<\/td><td>Recall<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Recall\"><td>Q70<\/td><td>Lab<\/td><td>Recall<\/td><td>83%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Virus\" data-type=\"Recall\"><td>Q72<\/td><td>Virus<\/td><td>Recall<\/td><td>67%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Virus\" data-type=\"Decision based\"><td>Q75<\/td><td>Virus<\/td><td>Decision<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Antibiotic\" data-type=\"Recall\"><td>Q76<\/td><td>Antibiotic<\/td><td>Recall<\/td><td>83%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Recall\"><td>Q77<\/td><td>Lab<\/td><td>Recall<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Virus\" data-type=\"Decision based\"><td>Q78<\/td><td>Virus<\/td><td>Decision<\/td><td>67%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Virus\" data-type=\"Decision based\"><td>Q79<\/td><td>Virus<\/td><td>Decision<\/td><td>17%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Recall\"><td>Q81<\/td><td>Bacteria<\/td><td>Recall<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Recall\"><td>Q82<\/td><td>Bacteria<\/td><td>Recall<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Recall\"><td>Q83<\/td><td>Bacteria<\/td><td>Recall<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Recall\"><td>Q85<\/td><td>Bacteria<\/td><td>Recall<\/td><td>67%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Antibiotic\" data-type=\"Understanding\"><td>Q87<\/td><td>Antibiotic<\/td><td>Understanding<\/td><td>17%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Recall\"><td>Q89<\/td><td>Lab<\/td><td>Recall<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Understanding\"><td>Q90<\/td><td>Lab<\/td><td>Understanding<\/td><td>83%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Understanding\"><td>Q92<\/td><td>Lab<\/td><td>Understanding<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"IPC\" data-type=\"Understanding\"><td>Q94<\/td><td>IPC<\/td><td>Understanding<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Understanding\"><td>Q95<\/td><td>Lab<\/td><td>Understanding<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"IPC\" data-type=\"Recall\"><td>Q97<\/td><td>IPC<\/td><td>Recall<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"IPC\" data-type=\"Decision based\"><td>Q99<\/td><td>IPC<\/td><td>Decision<\/td><td>83%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Antibiotic\" data-type=\"Recall\"><td>Q100<\/td><td>Antibiotic<\/td><td>Recall<\/td><td>17%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Infection\/Vaccine\" data-type=\"Decision based\"><td>Q101<\/td><td>Infection\/Vaccine<\/td><td>Decision<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Recall\"><td>Q105<\/td><td>Lab<\/td><td>Recall<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Understanding\"><td>Q108<\/td><td>Lab<\/td><td>Understanding<\/td><td>67%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Understanding\"><td>Q109<\/td><td>Lab<\/td><td>Understanding<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"IPC\" data-type=\"Decision based\"><td>Q111<\/td><td>IPC<\/td><td>Decision<\/td><td>50%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Recall\"><td>Q112<\/td><td>Lab<\/td><td>Recall<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Infection\/Vaccine\" data-type=\"Recall\"><td>Q113<\/td><td>Infection\/Vaccine<\/td><td>Recall<\/td><td>67%<\/td><td><span class=\"priority high\">Priority review<\/span><\/td><\/tr><tr data-section=\"Parasitology\" data-type=\"Decision based\"><td>Q115<\/td><td>Parasitology<\/td><td>Decision<\/td><td>33%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Infection\/Vaccine\" data-type=\"Decision based\"><td>Q119<\/td><td>Infection\/Vaccine<\/td><td>Decision<\/td><td>0%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Bacteria\" data-type=\"Decision based\"><td>Q122<\/td><td>Bacteria<\/td><td>Decision<\/td><td>17%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><tr data-section=\"Lab\" data-type=\"Understanding\"><td>Q124<\/td><td>Lab<\/td><td>Understanding<\/td><td>17%<\/td><td><span class=\"priority \">Review<\/span><\/td><\/tr><\/tbody><\/table><\/div><p id=\"count\" class=\"note\"><\/p><\/section>\n\n<section><h2>8. How to use this feedback<\/h2><p>Prioritise the intersection of a weak section and a missed recall\/decision item. Re-answer before reading notes, explain why each distractor is wrong, and retest after 48\u201372 hours. Record scores from the Day 7 and Day 13 timed blocks; the target is at least 65%, with no section below 50%.<\/p><p class=\"note\"><strong>Method note:<\/strong> Any unanswered entries would be scored as zero; Candidate X answered all 125 questions. Difficulty ratings were not used to generate the study priorities because they were supplied as subjective. Topic labels were normalised only to create the eight requested sections. Cohort comparisons are descriptive and unstable at n=6.<\/p><\/section>\n<\/main><footer>Prepared for Candidate X from the supplied question taxonomy and candidate-grade workbooks.<\/footer>\n<script>\nconst rows=[...document.querySelectorAll('#missedTable tbody tr')];\nconst sf=document.querySelector('#sectionFilter'), tf=document.querySelector('#typeFilter'), pf=document.querySelector('#priorityFilter'), count=document.querySelector('#count');\nfunction filterRows(){let shown=0;rows.forEach(r=>{const ok=(!sf.value||r.dataset.section===sf.value)&&(!tf.value||r.dataset.type===tf.value)&&(!pf.value||r.textContent.includes(pf.value));r.style.display=ok?'':'none';if(ok)shown++;});count.textContent=`Showing ${shown} of ${rows.length} missed questions`;}\n[sf,tf,pf].forEach(el=>el.addEventListener('input',filterRows));filterRows();\ndocument.querySelectorAll('[data-go]').forEach(b=>b.addEventListener('click',()=>document.getElementById(b.dataset.go).scrollIntoView({behavior:'smooth'})));\ndocument.querySelectorAll('.linkbtn').forEach(b=>b.addEventListener('click',()=>{sf.value=b.dataset.section;filterRows();document.getElementById('missed').scrollIntoView({behavior:'smooth'});}));\n<\/script><\/div><\/body><\/html>\n","protected":false},"excerpt":{"rendered":"<p>Candidate X: Part 1 Mock Feedback Anonymised example: Autumn 2026 Part 1 mock examination Individual performance feedback Candidate X: evidence-led 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