CAT Mock Analysis Template: 6-Column Review Sheet (2026)
A ready-to-use CAT mock analysis template with a 6-column review sheet format. Covers the time audit framework, 5-type error tagging system, a 90-minute post-mock review routine, and a completed example from a sample mock. Designed for aspirants who take mocks but skip the analysis that turns scores into improvement.
CAT Mock Analysis Template: 6-Column Review Sheet (2026)
You do not need more mocks. You need better analysis. Most CAT aspirants finish a three-hour test, check their score, feel good or bad about it, and move on. The analysis — the part that actually moves percentile — gets 20 minutes if it happens at all. That is why the same person scores 78 percentile in March, 81 percentile in July, and still 81 percentile in October. The score is not stuck; the analysis is missing.
This CAT mock analysis template is the exact review sheet serious CAT 2026 aspirants use after every mock. It has six columns, a 90-minute time budget, and a pattern tracker that shows you which error types are systemic rather than random. Fill it after every mock and you turn raw practice hours into measurable percentile movement. The template is built for how to analyse CAT mock — not for tracking mocks, but for extracting every fixable insight from each one.
The 6-column CAT mock analysis template tags every question with topic, time spent, outcome, error type, and fix action. The 90-minute post-mock routine covers question review, time audit, pattern tracking, and trend update. Run this after every mock across the season and the pattern tracker will show you exactly which leaks to fix before the next test.
In this guide
Why Analysis Beats More Mocks
There is a persistent belief in CAT prep circles that mock count is what separates 99 percentilers from 85 percentilers. Some candidates take 40 or 50 mocks before the exam. The data does not support this. What separates the top performers is the quality of analysis, not the volume of tests taken.
A mock without analysis is just three hours of stress with no recovery loop. You discover errors, you do not fix them, and the next mock finds the same errors in the same places. This is why candidates plateau at 80 or 85 percentile for months: the measurement keeps happening; the repair never does.
Myth
Taking 40+ mocks guarantees a high CAT score because more practice builds speed and stamina.
Reality
20 mocks with 90-minute analysis each outperforms 40 mocks with 20-minute reviews. Repetition without repair only makes errors more habitual.
The right ratio is one hour of mock to 90 minutes of analysis. That feels counterintuitive — more time reviewing than testing — but it reflects where the actual work is. The test is a measurement device. The analysis is the improvement mechanism. Check the CAT 2026 score improvement playbook for the full mock cadence across a 60-day sprint window.
The 6-Column Mock Review Sheet (Template)
Every question in your mock gets one row in this sheet. Six columns. Nothing more, nothing less. The simplicity is intentional — if the sheet is complex, you will stop filling it by mock three.
| Col 1: Q# | Col 2: Topic | Col 3: Time (min) | Col 4: Outcome | Col 5: Error Type | Col 6: Action Note |
|---|---|---|---|---|---|
| Q4 | Arithmetic — Percentages | 3.5 | Wrong | Accuracy Slip | Misread "profit on SP" as "profit on CP" — drill 10 questions on profit framing |
| Q11 | VARC — RC (Inference) | 7.0 | Wrong | Concept Gap | Cannot distinguish inference from assumption — revise inference rules, 2 hrs |
| Q17 | DILR — Venn Diagrams | 0 | Skipped | Wrong Selection | Solvable in 4 min — practise Venn setup recognition drills |
| Q23 | Quant — Geometry | 6.0 | Wrong | Time Pressure | Correct method, ran out of time — timed geometry drills, sub-4 min target |
| Q29 | VARC — Para-summary | 2.5 | Correct | — | — |
Correct answers get a dash in columns 5 and 6. You are looking for patterns in the wrong answers, not celebrating the right ones. Tag every wrong or skipped question before you look at the solutions — this ensures the error type reflects what actually happened during the test, not what you think should have happened in hindsight.
Print the sheet or keep it in a spreadsheet — do not use the mock platform's built-in review mode as your primary analysis tool. Those platforms optimise for solution display, not error classification. Your sheet owns the error-type column; the platform does not.
The Four Error Types: Tagging Rules
The most important column in the sheet is Col 5. Tag it wrong and the action notes become useless. Here is exactly how to classify each error type — with a decision rule to prevent mislabelling.
Concept Gap
Rule: After reading the solution, if you think "I did not know this formula/rule/approach", tag it CG. The fix is concept revision, not re-reading the solution three times. Typical examples: an algebra pattern you have not seen, an RC question type you do not have a framework for, a DILR set-up trick you missed.
Accuracy Slip
Rule: After reading the solution, if you think "I knew this but made a calculation or reading error", tag it AS. Common patterns: sign error, unit mismatch, misreading a condition (e.g., "at most" vs "at least"), wrong variable substitution. Fix: identify the specific slip type and do 15 targeted practice problems on exactly that slip.
Time Pressure
Rule: You knew the approach but abandoned the question before finishing because time was short. Tag TP only if you could have solved it with four more minutes. If the question was solvable in theory but your method was slow, that is also TP. Fix: speed drills on that specific question type with a 3 or 4-minute ceiling.
Wrong Question Selection
Rule: You attempted a question you should have skipped, or skipped a question you should have attempted. QS errors are strategy errors, not knowledge errors. A solvable question left blank is QS. A Tier 3 question you spent six minutes on is also QS. Fix: triage drills — 30-second attack-or-skip decisions on unseen question sets.
One important note: a question can only have one primary error type. If you had a concept gap AND ran out of time, the primary tag is CG — the concept gap is the root cause; the time pressure is a symptom. Assigning two tags muddies the pattern data.
An aspirant who scored 79 percentile in August used this template across four mocks and found that 14 of her 22 wrong answers across those mocks were Accuracy Slip errors — specifically, misreading question conditions in VARC. She ran a 10-day drill targeting inference vs assumption framing. Her next mock: 87 percentile. The analysis identified a single fixable error type responsible for roughly 8 marks. That is what the sheet is for.
The 90-Minute Post-Mock Routine
The mock test review sheet CAT toppers use does not exist in isolation. It sits inside a 90-minute post-mock routine with five stages. Skip a stage and the template loses most of its value.
Stage 1: Question-Level Error Tagging (20 min)
Fill columns 1 to 5 for every wrong or skipped question before opening solution explanations. This preserves the in-test error state. Then read solutions and fill column 6 (action note) for each tagged question.
Stage 2: Time Audit (15 min)
Pull the time-per-question data from the mock platform. Compare planned section time vs actual. For each section, note: How many questions got more than 5 minutes? Was time pressure concentrated in one topic cluster? Did you abandon questions early due to sweep timing? This directly informs the TP error tags and identifies where triage drills are needed.
Stage 3: Reattempt AS and TP Questions (20 min)
Reattempt only the questions tagged AS or TP — not CG. Concept gap questions need concept revision, not a second attempt with the answer still fresh. AS and TP questions, when reattempted correctly in a calm setting, reinforce the right method. Time yourself: if the AS question takes more than 4 minutes on reattempt, it may actually be a CG — update the tag.
Stage 4: Update the Pattern Tracker (20 min)
Add this mock's error-type counts to the running pattern tracker (see below). Check if any error type has appeared in 3 or more consecutive mocks — that is a systemic leak, not a one-off. Update the "highest frequency" column. Generate the week's fix priority based on which error type is compounding.
Stage 5: Mock-to-Mock Trend Update (15 min)
Update the trend table: raw score, estimated percentile, attempt rate per section, and accuracy rate per section. Three data points form a trend; four to six data points reveal a pattern. If raw score is rising but accuracy is falling, you are attempting more questions recklessly. If attempt rate is falling but accuracy is rising, your triage is improving. Read the trend, not just the number.
Practice mocks with built-in analytics on Optima Learn
Take a CAT Mock on Optima LearnThe Pattern Tracker: Reading Systemic Leaks
The 6-column sheet tells you what happened in one mock. The pattern tracker tells you what is happening across your entire mock season. This is where the real diagnostic value is.
Set up a separate tracker table. Add one row per mock. For each mock, log the count of CG, AS, TP, and QS errors. After four mocks, look at which error type appears most consistently — not which is highest in a single mock, but which keeps showing up. That is your systemic leak. A leak that appears in 4 of 5 mocks is worth 10 to 15 hours of targeted work. A leak that appeared once is worth 1 hour or less.
Sample Pattern Tracker (Last 5 Mocks)
| Mock | Raw Score | Perc. Est. | CG Errors | AS Errors | TP Errors | QS Errors | Primary Leak |
|---|---|---|---|---|---|---|---|
| Mock 1 | 41 | 82%ile | 5 | 8 | 4 | 3 | AS |
| Mock 2 | 43 | 84%ile | 4 | 9 | 3 | 2 | AS |
| Mock 3 | 44 | 85%ile | 5 | 7 | 5 | 1 | AS / TP |
| Mock 4 | 46 | 87%ile | 3 | 6 | 6 | 2 | TP rising |
| Mock 5 | 47 | 88%ile | 3 | 5 | 7 | 2 | TP systemic |
This example shows a candidate who fixed their AS leak between mocks 1 and 5 (from 8 to 5) but uncovered an emerging TP leak. Raw score improved from 41 to 47. The next fix priority is clear: speed drills on the specific question types generating TP errors. Browse the CAT preparation exam resources on Optima Learn and the highest-scoring CAT 2026 topics guide to prioritise which topic clusters deserve the timed drill attention first.
Add a "trend reading" row after every fourth mock. Write one sentence describing what the data shows — for example, "AS errors falling, TP errors rising, raw score up 6 marks over 4 mocks." This forces you to synthesise the tracker rather than just log it. Candidates who synthesise improve 2 to 3 percentile points faster than those who only log.
3 Analysis Mistakes That Stall Your Score
Most candidates who use some form of analysis still miss their target because they make one of three avoidable mistakes. These are worth naming specifically.
Mistake 1: Treating Every Error as a Concept Gap
Concept gaps feel like the most "legitimate" error type, so aspirants over-tag them. In reality, roughly 40 to 50 percent of wrong answers in the 80 to 90 percentile range are Accuracy Slips — errors in execution, not knowledge. Tagging an AS as CG leads to wasted concept revision hours on material the candidate already knows. The diagnostic test: if you can solve the question correctly within five minutes of reattempting it calmly, it was not a concept gap.
Mistake 2: Analysing Only the Wrong Answers
Right answers at the wrong cost also deserve attention. A question you got correct after nine minutes is a time efficiency problem even if it did not cost marks. Use the time audit (Stage 2) to identify correct-but-slow questions in every section. These are the questions where a better method exists. Look them up. The efficiency gain converts to TP error reductions in future mocks. For a structured look at which question types are worth this investment, see the Optima Learn question bank sorted by topic and difficulty.
Mistake 3: Skipping the Pattern Tracker After the First Few Mocks
The 6-column sheet is useful from mock one. The pattern tracker only becomes useful after three or four mocks. Most candidates lose momentum around mock three or four, right when the tracker is starting to generate reliable signal. This is also the point where fixing a systemic leak pays off the most — early in the season, before the leak has been practiced into a habit. If you take mock tests on Optima Learn, the platform's performance history supplements the tracker data with sectional breakdowns.
What Most Candidates Do
Spend 90 minutes reading solution explanations for every question, including the ones they got correct. Feel productive. Learn almost nothing actionable.
What Works
Spend 20 minutes tagging errors, 20 minutes reattempting AS and TP questions only, and 20 minutes updating the pattern tracker. Read full solutions for CG errors only.
The Full Post-Mock Checklist
Use this checklist after every mock to confirm the 90-minute routine is complete. Some preparation approaches recommend more elaborate review processes, but this checklist covers everything that materially affects score improvement. You can cross-reference your current CAT 2026 preparation timetable to slot the 90-minute analysis block correctly.
Post-Mock Analysis Checklist (90 Minutes)
The last item matters most. A mock analysis that does not produce a single actionable fix priority is incomplete. The analysis exists to generate a repair plan, not just a diagnosis. Use the CAT score predictor on Optima Learn to map your current mock performance to an expected exam percentile and see how much each percentage point of accuracy improvement translates to in terms of scores.
- Fill the 6-column sheet before looking at solutions — preserves true in-test error state
- Use the 5-minute reattempt rule to decide CG vs AS — never guess the tag from memory
- Reattempt only AS and TP errors in the analysis session — CG errors need concept revision later
- Update the pattern tracker after every single mock — the signal only appears across multiple mocks
- Write one fix priority per mock — the analysis must produce an action, not just a record
- Read trend lines, not single-mock scores — a 2-percentile drop in one mock means nothing; a 3-mock plateau means something is systemic
The full Optima Learn blog library has supporting resources for each stage of CAT preparation. For the highest-ROI topic sequence to pair with this analysis system, see the highest-scoring CAT 2026 topics breakdown. For how this analysis fits into a complete score-improvement sprint, see the 60-day score improvement plan. And if your score predictor shows you need a waitlist strategy, the CAT 2026 waitlist guide covers how IIM cutoffs and percentile band strategies interact.
Know Where Your Score Stands Right Now
Use the Optima Learn CAT Score Predictor to map your current mock percentile to actual exam expectations — section by section.
Check Your Score PredictionWhat Students Ask
What should a CAT mock analysis template include?
A complete CAT mock analysis template should have six columns per question: question number, topic, time spent, correct or wrong or skipped, error type (concept gap, accuracy slip, time pressure, or wrong selection), and an action note for the fix. Beyond the question-level sheet, the template should include a sectional time audit (planned vs actual minutes per section), a score breakdown by topic cluster, a pattern column for tracking which error types are recurring, and a mock-to-mock trend line showing raw score, percentile estimate, and attempt rate across the last four to six mocks. The full post-mock routine should take 90 minutes maximum.
How long should CAT mock analysis take after each test?
A rigorous CAT mock analysis should take 90 minutes. The breakdown: 20 minutes for question-level error tagging; 15 minutes for the sectional time audit; 20 minutes for reattempting AS and TP questions only; 20 minutes for pattern tracker and action notes; and 15 minutes for the mock-to-mock trend update. Candidates who spend 30 minutes or less on analysis are discarding three hours of test data. The analysis is where percentile improvement is built — the test is just the measurement.
How many CAT mocks should I take before the exam?
The right target is 20 to 25 mocks across the prep season, with 90-minute analysis after each. Quality and consistency of analysis matter more than raw mock count. The ideal cadence: one mock per week from July to September, two per week in October, and two to three per week in the four weeks before exam day. Spacing between mocks matters — five to seven days between tests allows time to fix the leaks identified before the next measurement, so improvement actually registers rather than just being hoped for.
What is the difference between a concept gap and an accuracy slip in CAT mock analysis?
A concept gap is when you do not know the formula, rule, or approach. The fix is concept revision, not reattempting the question. An accuracy slip is when you know the concept but make a computational or reading error in execution. The fix is identifying which specific slip type keeps recurring and running 10 to 15 targeted practice problems on that type. Getting the tag right matters: treating an accuracy slip as a concept gap wastes revision hours on material you already know, while treating a concept gap as an accuracy slip leaves the root cause unaddressed. The 5-minute reattempt rule settles most ambiguous cases.
How do I use mock analysis to improve my CAT percentile?
Sustained percentile improvement from mock analysis requires a three-step loop: tag errors correctly in the 6-column sheet after every mock; identify the two or three highest-frequency error types across the last three to four mocks using the pattern tracker; run targeted fixes before the next mock. For concept gaps, two to four hours of topic revision. For accuracy slips, a 30-question sprint on the specific slip type. For time pressure, 15-minute sectional triage drills with a strict attack-or-skip protocol. Candidates who run this loop consistently across 15 to 20 mocks see a 7 to 12 percentile improvement over three months.
Optima Learn Editorial Team
The Optima Learn editorial team consists of CAT exam specialists, IIM alumni, and data-driven content strategists. Every guide is reviewed for accuracy against current exam patterns and updated each prep season. Optima Learn is an AI-powered CAT preparation platform helping aspirants reach their target IIMs faster.
Build your CAT 2026 study plan
Personalised daily plan that adapts to your section-wise mock scores.