CAT 2026 Section-Wise Strategy: How to Approach VARC, DILR and QA Without Chasing Fixed Attempt Numbers
Aspirants love fixed numbers.
“How many VARC questions should I attempt?”
“How many DILR sets for 99 percentile?”
“How many Quant questions are enough?”
The problem is that CAT changes.
Difficulty changes by section, slot and year. Your own strengths change too. A fixed attempt target can make you force bad questions simply because a number is in your head.
A better CAT 2026 strategy is built around selection + accuracy + adaptability.
VARC rewards comprehension under time pressure.
That is different from reading as fast as possible.
A useful VARC process has three parts:
Some students prefer moving in order. Others quickly assess passage topics and begin with the ones that feel most readable.
Test both approaches in mocks rather than copying a topper's method.
The dangerous VARC options are not always obviously wrong. They are often:
Train yourself to ask: where is the evidence for this choice?
If you are repeatedly stuck between two options, review why.
Do not automatically assume vocabulary is the problem. It may be inference discipline or overinterpretation.
Aspirants often measure DILR preparation by the number of sets solved.
But on exam day, one of the most valuable skills is deciding what not to solve.
During mocks, track the time taken to identify your first workable set.
Practise scanning for:
Also practise leaving.
Sunk-cost thinking is dangerous in DILR. Five bad minutes do not become good because you invest another five.
Quant can punish attachment.
You see a topic you know, so you feel obligated to solve it.
Instead, consider a round-based approach.
Pick obvious conversions: familiar, short and clean.
Return to questions that are solvable but require more work.
Use remaining time selectively for questions with a reasonable probability of conversion.
The exact structure should come from your mocks, but the principle is strong: do not allow one difficult question to hide three easier ones later in the section.
Suppose your friend tells you they attempted far more questions.
That information is almost useless without accuracy.
High attempts with uncontrolled negatives can destroy a section.
Track three things together:
Attempts → Accuracy → Score
Then add a fourth:
Quality of selection
That is the metric most scorecards do not directly teach you.
CAT rarely unfolds exactly as imagined.
Maybe the first RC feels dense.
Maybe every DILR set looks ugly.
Maybe QA begins with several unfamiliar questions.
Your strategy needs a recovery rule.
Examples:
A robust strategy is not one that works only when the paper matches your preference.
Over the next few mocks, run controlled experiments.
Mock 1: current approach.
Mock 2: change only DILR set-selection rule.
Mock 3: change QA scanning method.
Mock 4: test VARC order.
Compare outcomes and, more importantly, the quality of decisions.
This is much better than changing all three sections after every score fluctuation.
A full mock is expensive in time.
Sectionals allow faster experimentation.
If you want to test whether a two-round QA strategy helps, use two or three QA sectionals before committing to it in a full mock.
The same applies to VARC order and DILR selection.
Reading a section strategy is not the same as owning it.
If you want to experiment with VARC order, DILR set selection or QA rounds, use sectionals and full mocks from the On Your Mocks Test Series and compare what changes across attempts.
If the experiments keep revealing the same problem—slow solving, weak question selection or poor time allocation—the CAT Speed & Shortcuts Live Program is designed around those exact performance constraints.
Do not adopt a strategy because it sounds clever. Test it, measure it and keep it only if it improves your decisions.
Do not enter CAT 2026 thinking:
“I must attempt exactly X questions.”
Enter with a stronger rule:
I will keep finding the highest-quality marks available to me in the time I have.
That mindset adapts to the paper.
And CAT rewards adaptation.VARC: do not confuse speed with rushing
Passage selection
Evidence-based options
Controlled uncertainty
DILR: selection comes before solving
QA: use rounds instead of ego
Round 1
Round 2
Round 3
Accuracy matters more than impressive attempt counts
Your strategy should survive a bad section
Test strategies instead of believing them
Use sectionals for isolated experiments
Practise strategy where it can actually be tested
The best CAT strategy is flexible