Assumptions Cause More Trouble
Test takers often focus on missing details.
Aug 20, 2026 · 52 min · 13 segments
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…
Hailey CusimanoGuestZachHostOkay, let's get into it.
Like I mentioned...
Data Insights is my favorite section.
I'm not just saying that.
So this is an exciting week for me because it's not just the week that we're going to talk about this section, but it's also the week that GMAT Superscore came out.
So for folks who maybe don't feel the same way as I do about Data Insights, the GMAT Superscore could make it a bit more palatable if data is not your forte.
But perhaps after this podcast, people will feel differently.

I think that's a really great call out because as I suspect we'll talk a little bit about today, pacing the potential for score variability in Data Insights and kind of how we navigate and mitigate that is a big part of the conversation when I'm talking to students about Data Insights question types.
Yes.
So did we save the best for last?

So I would argue so as well, because data insights is also my favorite section.

I've got a lot of love for all three, but I think it's a really cool section to teach, both because, you know, thinking back to the old days of the former moniker of integrated reasoning, we're integrating quantitative skills and verbal reasoning skills.

We're essentially pulling from all the things we've spoken about so far and saying, okay, how does this apply in a new, creative, different context? Perhaps even in spaces where the graph type that you're looking at or the content that you're reading may not feel like content you're particularly familiar with or have seen before and aren't expected to.

So this becomes a completely a conversation around strategy and approach techniques.
Yeah.
So one of the strategies that people go into this usually with is that it's sort of a combo hybrid section of like a little bit of quant, a little bit of verbal.
What do you think about that?

You'll actually, hopefully, hear a couple of kind of familiar best practices, in particular, some of the things we spoke about last week when we were going through verbal reasoning, ideas like ensuring that we're not trying to become subject matter experts, answering the question at hand, working from what we know, which was something we saw come into play very frequently across both quant and verbal.

So it really is an excellent evaluation of, again, how you think rather than just what you know.
Okay, let's get into it.
Like I mentioned...
Data Insights is my favorite section.
I'm not just saying that.
So this is an exciting week for me because it's not just the week that we're going to talk about this section, but it's also the week that GMAT Superscore came out.
So for folks who maybe don't feel the same way as I do about Data Insights, the GMAT Superscore could make it a bit more palatable if data is not your forte.
But perhaps after this podcast, people will feel differently.

I think that's a really great call out because as I suspect we'll talk a little bit about today, pacing the potential for score variability in Data Insights and kind of how we navigate and mitigate that is a big part of the conversation when I'm talking to students about Data Insights question types.
Yes.
So did we save the best for last?

So I would argue so as well, because data insights is also my favorite section.

I've got a lot of love for all three, but I think it's a really cool section to teach, both because, you know, thinking back to the old days of the former moniker of integrated reasoning, we're integrating quantitative skills and verbal reasoning skills.

We're essentially pulling from all the things we've spoken about so far and saying, okay, how does this apply in a new, creative, different context? Perhaps even in spaces where the graph type that you're looking at or the content that you're reading may not feel like content you're particularly familiar with or have seen before and aren't expected to.

So this becomes a completely a conversation around strategy and approach techniques.
Yeah.
So one of the strategies that people go into this usually with is that it's sort of a combo hybrid section of like a little bit of quant, a little bit of verbal.
What do you think about that?

You'll actually, hopefully, hear a couple of kind of familiar best practices, in particular, some of the things we spoke about last week when we were going through verbal reasoning, ideas like ensuring that we're not trying to become subject matter experts, answering the question at hand, working from what we know, which was something we saw come into play very frequently across both quant and verbal.

So it really is an excellent evaluation of, again, how you think rather than just what you know.
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3 of 9
Assumptions Cause More Trouble
Test takers often focus on missing details.
Confidence Is Not Progress
Feeling progress can disguise uncertainty during preparation.
Build A Question-Specific Plan
A clear plan beats endless practice volume.
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