By Fatskills Exam Guides Team — the exam nerds behind 28,500+ quizzes and 2.1M practice questions across 500+ global exams.
Premium Study Guide for Data Insights
Multi-Source Reasoning (MSR) questions on the GMAT Focus Edition test your ability to synthesize, compare, and reconcile information from multiple sources—tables, charts, emails, memos, or articles. These questions appear in the Data Insights section and account for ~20% of your DI score (3–4 questions per test). Mastering MSR directly impacts your ability to score 700+ because: - They reward efficiency—skimming irrelevant details and zeroing in on what matters.- They test logical reasoning—identifying contradictions, gaps, or confirmations across sources.- They mimic real-world business scenarios—exactly what the GMAT is designed to assess.
Typical Question:You’re given: 1. A table of quarterly sales data for three products.2. An email from a manager discussing a recent sales decline.3. A bar chart showing customer satisfaction scores by product.Question: Which product’s sales decline is most likely explained by the customer satisfaction data?
When to use: Always start with the most objective source (e.g., a table) before interpreting subjective sources (e.g., an email).
Cross-Source Confirmation
When to use: When the question asks, “Which of the following is supported by both Source A and Source B?”
Gap Analysis
When to use: When the question asks, “Which additional information would be most useful to determine X?”
Trend vs. Outlier Focus
When to use: When the question asks about causes or explanations for a specific data point.
Quantitative vs. Qualitative Comparison
When to use: When the question asks, “Which statement best explains the data in the table?”
Answer Elimination via Source Mismatch
When to use: For all MSR questions—this is the fastest way to narrow down choices.
Time-Sensitive Data
Follow this 4-step process for every MSR question:
Sources:1. Table: Quarterly sales (in $M) for Products A, B, and C (Q1–Q4 2023). | Product | Q1 | Q2 | Q3 | Q4 | |---------|-----|-----|-----|-----| | A | 12 | 11 | 10 | 9 | | B | 8 | 8.5 | 9 | 10 | | C | 15 | 14 | 12 | 8 |
Email from Manager: “Product C’s sales dropped significantly in Q4 due to supply chain issues. We expect this to be temporary.”
Bar Chart: Customer satisfaction scores (1–10) for Products A, B, and C in Q4 2023.
Question:Which product’s Q4 sales decline is most likely explained by the customer satisfaction data?
Step-by-Step Solution:
Focus: Q4 sales decline + customer satisfaction explanation.
Skim All Sources:
Bar Chart: Product A (7), Product C (6) had low satisfaction in Q4.
Map the Question to the Sources:
Product B: No decline.
Eliminate and Confirm:
Answer: Product A.
Correct approach: Cross-check every source for explanations (e.g., email vs. chart).
Mistake: Ignoring timeframes.
Correct approach: Match time periods (e.g., Q4 sales vs. Q4 satisfaction).
Mistake: Overlooking “most likely” in the question.
Correct approach: Prioritize the most direct explanation (e.g., satisfaction for Product A vs. supply chain for Product C).
Mistake: Not eliminating unsupported answers.
How to avoid: Stick to the question’s focus—if it’s about Q4 sales, ignore Q1–Q3 trends unless asked.
Trap: The “Partial Match” Answer
How to avoid: Check all sources before finalizing an answer.
Timing:
Question:A company’s annual report shows: - Table: Revenue growth for Divisions X, Y, and Z (2021–2023). - X: +5%, +3%, +2% - Y: +8%, +7%, +6% - Z: +10%, +12%, -5% - Memo: “Division Z’s 2023 decline was due to a one-time regulatory fine.”
Question: Which division’s revenue trend is least likely explained by the memo?
Answer: Division X.Explanation: The memo explains only Division Z’s decline—X and Y’s trends are unrelated.
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