Video summary

Poor in DILR | Data interpretation Strategy for CAT Exam | How to get 99% le in DILR section !

Main summary

Key takeaways

Educational

Main ideas / concepts conveyed

  • DILR (Data Interpretation & Logical Reasoning) is the most underrated CAT section, but it is also the key to getting a very high percentile.
  • DILR is a “hangover” from Verbal and a bridge to Quant, so performance here strongly affects overall score distribution.
  • Solving strategy matters more than just “knowing the syllabus.”
    • CAT doesn’t ask purely syllabus-based questions; instead it tests familiarity + logic + constraints.
    • The section becomes difficult because it resembles case-study style reasoning (lots of data, conditions/cases, and multi-step logic).

Core lessons about how DILR difficulty works (what the speaker implies)

  • A student can be “alive” even if they can’t solve every set, but to reach top percentiles you must:
    • Identify and solve at least one good/easier set fully
    • Then pick up additional questions/sets strategically based on ease and constraints.
  • Difficulty is not uniform across sets inside the same paper.
    • Often there’s a mix such as: easy → moderate → harder → difficult across sets.
    • High scorers can spot the easier set quickly.

Methodology / plan of action (detailed steps)

A) Foundational topics to prepare (before focusing on full sets)

Step 1: Spend 3–4 days on “math-like” components that appear inside DILR

  • Percentages
  • Averages
  • Ratios

Goal: be able to crunch numbers smoothly so DILR puzzles don’t stall you when data/values are given.

B) “Score vs percentile” logic (what solving levels usually translate to)

  • If you solve one “good set” (~12 marks) → you can reach around ~80th percentile (speaker’s approximation).
  • To go from ~80 to ~85 percentile:
    • Solve one complete easy set
    • Then attempt just one more easy question from the next set to add ~3 more marks
  • General scaling idea: more sets/questions attempted with high accuracy = higher percentile bands.
  • Speaker emphasis: don’t stop after only setting one set.

C) Strategy to select the easier set inside a paper

Key principle: Don’t just assume you’ll solve the first thing you see—choose the easier set.

Practical indicators suggested

  • Look for questions that are calculation-friendly (e.g., percentages/increase-decrease style) rather than extremely constraint-heavy ones.
  • Prefer sets that reduce cognitive load:
    • Fewer cases/constraints
    • More direct logic

Common “more repeatable / often easier” DILR set types (past-year patterns)

  • Bar graphs / pie charts / tables (and variations)
  • Circular arrangement / seating-type arrangements
  • Roots & networks / movement / routing logic variants
  • Ranking games
  • Import-export with combined charts/graphs (e.g., tariff/radar/bar graph combinations)
  • Binary/matrix logic style sets

Easy-pro tip topics

  • Weighted average (not guaranteed every year, but suggested)
  • Mean/Median/Mode (frequently referenced; linked to paper-setter patterns in some years)

D) A specific 4-week “daily rhythm” training plan for DILR set selection + solving

General rule: DILR is treated as set-selection and time-boxed solving, not just “solving everything.”

Week 1 (Easy finding)

  • Total activity duration: ~40 minutes per session
  • First 10 minutes: do not touch the pen
    • Identify which 4-question set appears easier
  • Next 30 minutes: solve that single easier set
  • Goal: learn the skill of finding the easier set reliably.

Week 2 (Add one more question)

  • Find/lock an easier set in ~20 minutes
  • Solve within an additional ~10 minutes
  • Also attempt just one more question from the next set to gain extra marks
  • Goal: move from “setting” to one-question-per-step jumps that increase percentile.

Week 3 (Fixed 10-minute selection; then solve two sets)

  • Selection: tighten to 10 minutes (no second-guessing)
  • Attempt:
    • one set in ~15 minutes
    • second set in ~15 minutes
  • Goal: solving two complete sets to reach very high percentile territory (speaker claims near ~98% band if done well).

Week 4 (Harder; selection time reduced to 5 minutes)

  • Reduce selection time: 10 minutes → 5 minutes
  • Solve sequence concept:
    • Solve easy within ~10 minutes
    • Medium within the next ~10 minutes
    • Then attempt difficult in the remaining time
  • Goal: push toward solving three sets (expect 1–2 mistakes allowed) to approach top percentile (speaker claims ~99% chance under the framework).

E) Practice content suggestions (what to drill)

  • Week 1: 50 sets focusing on familiarity/easy finding using CAT-style mocks/materials
  • Week 2: Routes & networks, scheduling problems, ranking games/tournaments
  • Week 3/4 (implied): harder variations and mixed difficulty sets
  • Practice formats mentioned:
    • Bar graphs, pie charts, tables, graphs, scatter plots
    • Scatter plots / candlestick-like charts as recurring patterns

F) Two key “decision rules” to avoid mistakes

  1. Calculation intensity check

    • If a set requires heavy precision/calculation, mistakes become more likely.
    • Suggestion: if calculations are strong, choose those calculation-heavy easier sets (historically they may be easier).

  2. Familiarity rule

    • If you’ve done enough similar sets (especially roots/network, chart combinations, etc.), you’ll recognize what the question is asking faster.

Additional notes and encouragement

  • Speaker claims:
    • Top performers often solve 2 sets confidently (8 questions) and may partially/fully attempt the 3rd depending on time/accuracy.
  • Strong emphasis on:
    • Avoiding procrastination (even one missed question can drop percentile significantly)
    • Not relying on overly optimistic mock sets that don’t match CAT’s set difficulty structure

Speakers / sources featured (identified)

  • Main speaker (host/instructor): Mr. Indore (referred to as “I am Indore”)
  • Other people/sources mentioned:
    • Tanmay (viewer)
    • Arjun (viewer)
    • Shambhavi (viewer)
    • Arshni / Harshini / Vrinda / Divansh / Saurav / Chirag / Pushpa / Avinash / Sumit Sir / Varun sir / Director sir / Dean sir / Sahil Sir / Prantik Sir (mostly viewers; some referenced as teachers/directors)
  • CAT / CAT paper setters (referenced generally; one specific year Sanjeet Singh Phogat is mentioned as a setter in 2023)
  • ChatGPT / Chat GB (mentioned as concepts, not specific people/sources)
  • Editors/brands/coaching references: “Cat King Family” and generic “X/Y/Z coaching” references
  • IIM / AIIMS mentioned as percentile context

Original video