Video summary
CAT 2026: 90 Days Strategy | How to Crack CAT in 90 Days | iQuanta
Main summary
Key takeaways
Main ideas / concepts / lessons conveyed
- A “90-day strategy” to aim for CAT 2026 ~99%ile: The speaker claims success (~99%ile) if viewers follow the plan and challenges the idea of reaching that level.
- Hard work over shortcuts: Repeated emphasis that success requires sustained practice, not “1-day/7-day” hacks.
- Follow the plan “religiously”: Discipline matters more than passive listening.
- Equal focus across sections: Maintain balance across Quant, VARC/VRC, and LRDI rather than over-investing in one.
- Practice + analysis systems
- Continuous practice (especially for VARC/VRC and LRDI/DI).
- Maintain an error log to track mistakes and improve through review.
- Review mistakes at option/choice level to understand why incorrect answers were wrong.
- Use course material + structured question sets: The speaker references iQuanta crash course resources and structured practice.
- Mock schedule near the end: Add structured revision and marathon-style practice before CAT.
Core theme: consistent practice + error analysis + disciplined execution, not shortcuts.
Methodology / step-by-step instructions (90-day plan)
A) Setup expectations (before starting the 90 days)
- Get pen & paper and write down the plan.
- Commit to following the plan for the next 90 days.
- The plan is described as applicable to:
- All enrolled batches (batch 1/2/3) and crash course students
- Students not enrolled, if they follow the same structure
B) Overall structure of the 90-day plan (phase-wise)
Divide the 90 days into five phases:
- First 20 days
- Next 20 days
- Next 20 days
- Next 20 days
- Last 10 days
In the first phase, the emphasis is on building initial syllabus coverage and stable practice routines.
First 20 days (core foundation + parallel section focus)
1) Focus all three sections in parallel
- Study Quant + VARC/VRC + LRDI concurrently.
- Avoid dominance of a single section.
2) Quant: build calculation habit + finish Arithmetic
- Daily calculations practice (5 minutes)
- Revise tables, squares, cubes, etc.
- Start with Arithmetic (presented as easiest + high-yield)
- Goal: finish Arithmetic within the first 20 days
How to finish Arithmetic in 20 days
- For enrolled students: use live/application classes + assignments
- Completion targets vary by stage:
- Learning from scratch: ~20 practice questions per topic
- Already completed: ~40–50 questions per topic + revision
Quant revision rules
- Revise from notes and solve sufficient questions.
- Ensure concepts are truly remembered (speaker references being tested at night on formulas).
- Concept note habit:
- Add newly learned concepts to notes while solving.
- Track “brilliant” questions and those that could cause mistakes.
- Arithmetic revision quality check
- If it’s not “on fingertips,” Arithmetic isn’t complete.
3) LRDI: start with foundational topics + repeated sets
Suggested LRDI practice path
- Arrangement
- Linear & circular (circular emphasized due to trends)
- DI basics via tables
- Start with comfort area like bargraph/bar graph tables
Practice rule
- After learning a topic, do it in 3 sets.
- Classroom learning ≠ practice; practice is mandatory outside class.
Add a “dash” of tougher LRDI topics
- Games & tournaments
- Venn diagrams
PYQs are mentioned later; early emphasis remains on topic practice + sets.
4) VARC/VRC: reading + RC fundamentals + VA basics
- VRC timing: 30 minutes reading daily
- Speaker insists many accuracy issues come from insufficient reading.
Daily RC practice
- Solve RC daily
- Frequently tested fundamentals:
- Main idea
- Tone
- Inference
- Strengthen/Weaken arguments using examples
Build VA gradually
- Para jumbles
- Para summaries
- Similar tasks as needed
Error log
- Maintain an error log for VRC as well (not just Quant/LRDI).
Practice sets
- Topics need 3 sets, but daily workload needs schedule management.
Next 20 days (days 20–40): level up + expand difficulty
Quant
- Begin Algebra & Geometry after Arithmetic.
- Core rule: don’t drop Arithmetic
- Revision method:
- Use high-quality questions from:
- Books/modules (ABC referenced)
- PYQs
- Assignments
- Use high-quality questions from:
- Target: at least ~30 Quant questions daily
- If time is constrained:
- Prioritize Algebra, but continue Arithmetic revision.
LRDI
- Shift toward advanced modules and CAT-relevant topics.
- Focus on caselet/case-study related concept variants (speaker lists “case select” type variants).
- Topic families mentioned:
- Distribution
- Ranking order
- Select / case-related variants
PYQ rule
- Use PYQs from 2017 onward
Practice rule
- Minimum 3–4 sets per topic beyond classroom/learning sets.
VARC/VRC
- 3 RCs daily minimum
- Practice CAT-level RCs across varying difficulty.
If you dislike topics
- Don’t skip; build interest/tolerance.
- Example given: using philosophy reading like “Sophie’s World” to handle philosophical RC passages.
VRC accuracy + sectional readiness
- Accuracy focus:
- Analyze every option; understand why each choice is correct/incorrect.
- When ready:
- Start VRC sectional tests
- Speaker claims VRC is less about “concepts” and more about solving + accuracy.
Start sectionals and then mocks
- After finishing the above, begin sectionals broadly.
- Mocks should start within the last ~60 days (covered later).
Final stretch logic (last 50 days → last 30 days → last 10 days)
Mocks timing rule
- Start mocks in the last 50–60 days.
- Avoid delaying too long:
- The speaker emphasizes: if you don’t start now, when will you?
Last 20 days of the last 50 days (approx. days 30–50 remaining)
- Quant first (many students reach near-completion there)
- Cover final Quant topics + continue practice
- Use crash course question batteries:
- QA 250: 250 quantity/accuracy questions
- LRDI 70: 70 high-quality sets
- RC 60: 60 RC practice items + related tasks (including parajumbles)
- Complete remaining LRDI topics, including:
- “Quant-based reasoning” difficulty topics
- Specifically mentions Scheduling, Routes and Networks
- VRC:
- Keep solving RC + related VA items; prioritize RC 60.
Last 30 days (pre-CAT month)
- Schedule:
- Mocks + Sectionals + Revision
- Weekly rhythm:
- Alternate days mocks
- Sunday = full revision
- Revision must include:
- Revisit mock questions you marked/bookmarked
- Re-solve mistakes from mocks/sectionals
- Emphasis:
- Stay “chill” in the last ~10 days since major prep should already be done.
Last 10 days
- Keep it lighter:
- Two mocks maximum (through revision)
- Then 3–4 days full revision
- Final revision support:
- “Marathon” sessions in the crash course:
- 8–9 hour marathons
- Final Quant formula session of 3–4 hours
- “Marathon” sessions in the crash course:
- Goal: confidence + comprehensive revision, not heavy new learning.
Additional enforcement tactics / rules repeated
- Error Log (especially for VRC and LRDI)
- Record mistakes and why they occurred.
- Option-level analysis
- Even if you got it right, analyze why other options were wrong.
- Daily practice quotas / sets
- Topic repetition in sets is required.
- Classroom learning doesn’t count as practice sets.
- No shortcut culture
- Reject “CAT in 7 days” thinking.
- Psychological resilience
- Treat mock disappointment as a stepping stone.
- Keep solving to rebuild confidence and accuracy.
- Consistency over motivation hacks
- Don’t rely on Instagram motivation; follow the plan.
Speakers / sources featured (as stated or implied)
Main speaker (primary source)
- Aditya (iQuanta instructor / presenter) — primary speaker in the video.
Referenced people / names
- Prashant Reddy (called out by name)
- Aditya (mentioned again later)
- Kavita Agarwal, Manasvi (and “Manasvi son”), Sunny Rathore, Priyanshu, Durgesh, Kranti / Jai Laxmi
- Various chat/addressed students: Aditya son, Saksham, Muskaan, Chinmay, Durgesh More, Shreya
Course / organization sources mentioned
- iQuanta
- Crash course materials:
- QA 250, LRDI 70, RC 60
- Inception (referenced as having 100 sets)
- ABC (book/module reference)
- PYQs
- CAT exam
- YouTube / iQuanta ICON (daily quant question mention)
- ChatGPT (used as a cautionary comparison—don’t copy AI plans blindly)
External content referenced
- Game of Thrones (Jon Snow metaphor)
- Frederik Dostots / Franz Kafka (reading-related attitude references)
- Mercedes / BMW / Jaguar (motivational imagery/awards)
- “Sophie’s World” (optional reading reference for philosophy RC tolerance)