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How to Solve GMAT Multi-Source Reasoning: Learn by Solving, Not Just Reading

GMAT Multi-Source Reasoning (MSR) questions give you 2–3 tabs of data and ask you to cross-reference across all of them. Most students fail because they skip a structured reading process....

Devmitra Sen
Devmitra Sen · Head of Academics
Published May 2026 · Updated Jun 2026
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TL;DR

GMAT Multi-Source Reasoning (MSR) questions give you 2–3 tabs of data and ask you to cross-reference across all of them. Most students fail because they skip a structured reading process. The fix: Orient first (read every tab), Note it (shorthand on scratch pad), Filter signal from noise, then Solve. Work through the full interactive example below.

Most students see an MSR question and do the same thing. Scan the tabs, half-read the question, pick whatever feels right.

That approach has a name. It is called guessing with extra steps. If you’re still getting familiar with Data Insights as a whole, see our GMAT Data Insights guide first.

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~45% of GMAT test-takers say MSR is their weakest Data Insights question type

The reason MSR feels hard is not the math. It feels hard because there is too much data and no system for processing it.


1

What an MSR Question Looks Like

MSR stands for Multi-Source Reasoning. It is part of the GMAT Data Insights section. The format: a split screen with 2–3 clickable tabs on the left and questions on the right.

Key point

The tabs contain different types of information — text, tables, charts. You need to read all of them before attempting any question.

What most students do

Skim tabs in 20 seconds

Jump to questions

Re-read tabs 3–4 times

6+ min per set

What top scorers do

Read tabs for 90 seconds

Take shorthand notes

Answer without going back

6–8 min per set

Spending more time upfront saves time overall.

Student Voice

“Once I started reading the tabs with a system BEFORE touching the question, my accuracy went from 40% to 75% in two weeks.”

Priya M. · GMAT 695 · Data Insights: 83


2

The MSR Method

Same sequence every time. The data changes. The method does not.

Step 1: See it. Read each tab. Do not solve anything.

Step 2: Note it. Jot down key conditions on your scratch pad. This eliminates panic re-reading.

Example

If a condition says “greater than 50%” and a data point is 49.8%, that gap is exactly the kind of detail the GMAT will test. Write it down.

Step 3: Filter it. Ignore the backdrop. Focus on testable conditions.

Step 4: Solve it. Now read the question. With your notes, you know where to look.

Step 5: Slow down on the stem. Especially binary questions. One misread word costs the entire question.

Step 6: Own it. After practice, reflect. What tripped you up?

Mentor insight

Most students skip the note-taking. Then they spend 4 minutes bouncing between tabs. The shorthand notes on your scratch pad are your safety net.


3

Work Through This MSR Question, Step by Step

Three tabs of data. Three questions. The same split-screen format you will see on the real GMAT.

How this works

Click tabs on the left to read the data. Follow the mentor prompts on the right. Everything is tap-based.

Data Insights

A departmental store on a Scandinavian island has the following 6 monthly goals:

1. The median number of transactions for the cashiers should be greater than 2,000.

2. The arithmetic mean number of transactions for the cashiers should be greater than 2,000.

3. Each cashier should have a minimum of 1,800 transactions.

4. The median value of the transactions for the cashiers should be greater than 10 Swedish kronor (kr).

5. The arithmetic mean value of the transactions for each cashier should be greater than kr 10.

6. The arithmetic mean value of all the transactions should be greater than kr 10.

Read the Data Step 1 of 6
Devmitra Sen
Written by
Devmitra Sen
Head of Academics · Crackverbal

Devmitra Sen is Head of Academics at Crackverbal and has trained over 4,000 students. Her scorers tell the story: GMAT 745, 725, 715, 705 alongside turnarounds like 575→715 and 375→675. She has produced multiple Q90 scores, including a perfect 100th percentile on GMAT Quant — a benchmark very few coaches can claim consistently. On Data Insights, her superpower is changing how students see, observe, and comprehend data: breaking it down, reasoning through it, and zeroing in on exactly what the question asks. The results follow: multiple 90+ percentile DI scores, including a 1st to 99th percentile turnaround in under two and a half months. She carries a quiet interest in the history of mathematical thought — particularly ideas rooted in India long before they were formalised elsewhere — a perspective that gives her an unusually grounded sense of why the subject matters.

10+ yrs
Teaching experience
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Students mentored
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