Data Insights gives you a lot to look at, but that doesn't mean you need to understand all of it.
In the latest installment of our GMAT Summer Prep Series, GMAC Zach and Hailey Cusimano of Menlo Coaching break down how to approach one of the GMAT's most distinctive sections without getting lost in the data.
They explore why timing can be particularly challenging in Data Insights, how to stay focused on the task in front of you, why unfamiliar subject matter shouldn't scare you, and how having a clear strategy for each question type can make the section feel much more manageable.
Plus, Zach puts his own Data Sufficiency skills to the test as Hailey demonstrates how slowing down before you start solving can actually help you work more efficiently.
Whether Data Insights is your favorite section or the one you're still trying to figure out, this episode will help you build a smarter approach to the questions in front of you.
About Hailey:
Hailey Cusimano is a 99th-percentile performer and a self-proclaimed standardized test nerd. Drawing from her years of experience as an instructor, she knows how to assess students' main obstacles and strategize accordingly, maximizing efficiency in short study windows. Plus, her enthusiasm is infectious, and most students find studying with Hailey actually becomes—dare we say—fun.
Helpful Resources:
Menlo Coaching: https://menlocoaching.com/
Register for the GMAT: https://www.mba.com/exams/gmat-exam/register
5 Traits of Successful GMAT Test Takers: https://tinyurl.com/insidethegmat
Purchase GMAT Official Prep: https://www.mba.com/exams/executive-assessment/prepare
Key Takeaways:
- Data Insights is a resource-management test as much as a reasoning test. A major challenge is recognizing when a question is consuming too much time and deciding whether the next step is actually worth the investment.
- You do not need to understand everything you're shown. Start with the task, then seek out the information needed to answer it. Trying to fully absorb every graph, tab, or paragraph upfront can waste valuable time.
- The bigger danger is often assuming information, not overlooking it. When you catch yourself filling in a gap with outside knowledge or what "seems" true, go back to the information provided and find support you can actually defend.
- If a Graphics Interpretation question feels like an eye test, you may be interpreting the graph incorrectly. Differences should be defensible from the data rather than dependent on extremely precise visual estimation.
- On Data Sufficiency, define what would make the information sufficient before you start calculating. Especially on yes/no questions, you do not need one unique scenario—you need to know whether the answer can be determined definitively.
- You do not have to evaluate Data Sufficiency statements in order. Starting with the statement that gives you the clearest path can make the problem easier and reduce unnecessary work.
- Doing more practice questions is not necessarily the path to improvement. The useful part of review is identifying exactly where your reasoning broke down and what you need to do differently when you encounter a similar challenge again.
Chapters:
00:00 Introduction to Data Insights and Episode Overview
02:14 GMAT Super Score and Its Impact on Data Insights
03:24 Integrating Quantitative and Verbal Skills in Data Insights
04:47 Common Challenges: Timing and Data Overload
07:08 Building Structure and Task Orientation
09:00 Handling Distractions and Staying Focused
10:01 Practicing Discipline and Resource Management
12:21 Avoiding Assumptions and Logical Leaps
14:14 Understanding the Open Book Nature of Data Insights
16:03 Question Type Specific Strategies
19:08 Using Graphics Interpretation Effectively
29:16 Introduction to Data Sufficiency Questions
30:15 Evaluating Data Sufficiency Statements Independently
32:38 Common Mistakes in Data Sufficiency
35:15 Importance of Inventory Management and Confidence
40:05 Strategies for Success and Self-Reflection
50:14 Psychology of Test-Taking and Next Steps
