Hi
Data Insights timing is genuinely trickier than Quant or Verbal timing, so what you're running into is normal. In Quant you face one question type and in Verbal you face two, but in DI you face five, each with its own time profile, so your time per question swings widely depending on what shows up. That's why a flat per-question average isn't very useful here.
Here's the part that surprises most people, though. The biggest lever for DI efficiency isn't a DI-specific trick. It's your Quant and Verbal foundations. DI tests those concepts in new formats, so if the underlying skills aren't automatic, no amount of DI familiarity makes the section faster. When you find yourself grinding through a question, the slowdown is usually a content gap surfacing, not a pacing problem in its own right. So I'd make sure Quant and Verbal are solid first, and save dedicated DI work for later in your prep.
On your specific types: for Data Sufficiency, your job is to decide whether the information is sufficient, not to actually answer, so the moment you know a statement settles the question, stop. If you're regularly spending three-plus minutes on Quant-based DS, that points to the underlying Quant needing more work, not to pacing. For Table Analysis, mastery comes down to sorting: figure out what a statement is really asking, sort the table on the relevant column, and read your answer off the sorted data rather than scanning by eye. For Multi-Source Reasoning, the most variable type, don't over-invest up front. Read the tabs for overall comprehension, note where each kind of information lives, and return to the specific tab you need when answering, checking each statement against the constraints one at a time.
Across all of these, minimize the math. Many Quant-based DI questions can be handled with estimation instead of full calculation. When the choices are spread far apart, estimate. When they're close together, calculate precisely.
For how to practice, study each type and its subtypes deliberately, and do that practice untimed at first, across a wide variety of questions, until your accuracy is consistently high and your approach feels routine. Only then add timing. When you review, sort every miss by cause: concept gap, misread, careless error, trap answer, or a misread value on a graph or table. That's what turns practice into real gains, because you fix the actual problem instead of just doing more questions. When you do move to timed work, break the 45 minutes into five blocks of four questions at roughly nine minutes each and check your pacing at each block boundary, rather than watching the clock on every question.
This article walks through the timing strategy for each DI question type in detail:
Data Insights Timing Strategy.
If I were you, I'd confirm Quant and Verbal are solid, then work through the DI types one at a time untimed until each approach is automatic, and layer in the checkpoint timing last. Get the foundations and the type recognition right, and the pace will follow.
nammolestias
I'm currently preparing for the GMAT and finding the Data Insights section particularly challenging, especially when it comes to managing time across different question types.What strategies, resources, or practice techniques helped you improve your DI score? Any tips for tackling Multi-Source Reasoning, Table Analysis, and Data Sufficiency questions more efficiently would be greatly appreciated.Thanks in advance for your insights