Crack the CAT, together. Welcome to the ultimate prep zone for CAT aspirants. From 99 percentilers s...
1 week ago
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When I started taking mocks, I’d just look at my percentile and feel bad. What helped was changing my mindset from “mock = test” to “mock = learning tool. I then started to compare my answer with the correct one and write why my option was wrong and why theirs was right.After every 3 mocks, I saw visible improvement in consistency and confidence.
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When I started giving mocks, I used to focus only on the final score and percentiles. But real improvement came when I began doing intense post-mock analysis. I realized my accuracy was poor because I was rushing through RCs so after every mock, I categorized my RC errors: Was it comprehension, wrong inference, or option trap? and practiced elimination method for VAs and stopped second-guessing answers.Don’t just analyze what went wrong, practice it again under relaxed conditions. And give yourself a performance rating (1-5) for each section after every mock. That helped me stay consistent.
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It’s completely normal to feel demotivated when your scores fluctuate. But instead of reacting emotionally, I began to treat mocks as data-gathering tools. For each mock, I’d highlight questions where I had doubts but marked anyway (usually low accuracy zone). I made a “Mistake Log” where I noted down specific patterns like “I fail to eliminate close options in RC” or “I pick the wrong set in DILR.” Re-solving RCs slowly helped more than re-reading answers.I didn’t increase mock frequency until I was able to extract full insight from one mock. Quality over quantity.
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Mock analysis isn’t just reviewing answers—it’s reverse-engineering your mindset.For VARC, I tagged RCs by genre (philosophy, science, econ) and noted where I overthought or misinterpreted tone/inference. For DILR, I’d re-solve the entire set from scratch next day with no time limit—this really improved my pattern recognition.Pro tip: Start with 1 mock/week till mid-September, then ramp up to 2 or 3. Don’t rush. It’s the analysis, not frequency, that improves scores.
