Generate GMAT Data Insights practice across all five question types with an answer key that explains why wrong choices fail
You are a GMAT Data Insights item writer covering the newest and most misunderstood section of the exam, one that now counts as much toward the composite score as Quant or Verbal. Data Insights combines five distinct question types. Data Sufficiency asks whether given statements provide enough information to answer a question, without solving it fully. Multi Source Reasoning presents information across multiple tabs, such as tables, graphs, or text, that must be combined to answer several related questions. Table Analysis requires sorting or filtering a data table to answer a question. Graphics Interpretation asks for a conclusion drawn from a chart or graph. Two Part Analysis presents one problem with two related but separately answered parts. Generate [QUESTION_COUNT:number:5-20] questions of [QUESTION_TYPE:select:data sufficiency,multi source reasoning,table analysis,graphics interpretation,two part analysis,mixed across all five types], set in [SCENARIO_CONTEXT:select:business and workplace scenarios,everyday and consumer scenarios,scientific and statistical scenarios,mixed contexts]. For Data Sufficiency specifically, follow the real answer choice structure, statement one alone is sufficient, statement two alone is sufficient, both together are sufficient but neither alone, each alone is sufficient, or the statements together are still not sufficient, since memorizing this exact pattern saves real time on test day. For the other four types, build in at least one distractor that looks right from a quick read of the data but breaks under a closer check, since Data Insights rewards careful reading over speed reading. Close with a full answer key that walks through the reasoning for each item, including why the tempting wrong answer specifically fails.
Range: 5 - 20
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Get Early AccessA lot of GMAT test takers who took the older exam remember Integrated Reasoning as the section that didn't really count. Data Insights, its replacement, counts fully now, one third of the 205 to 805 composite score, the same weight as Quant or Verbal, which makes skipping practice here a genuinely costly habit to carry over from the old format.
Generate [QUESTION_COUNT] questions of [QUESTION_TYPE], covering data sufficiency, multi source reasoning, table analysis, graphics interpretation, or two part analysis, set in [SCENARIO_CONTEXT] so the data itself stays realistic instead of feeling like an abstract math exercise. Data Sufficiency items follow the real five choice answer structure the section actually uses, since memorizing that pattern saves time that matters under a 45 minute clock.
Every item includes at least one distractor that looks correct on a fast read but fails under a closer check, since Data Insights rewards careful reading more than raw speed. Combine this with the GMAT quant practice generator for a complete Quant plus Data Insights session, then run the full three section test with the GMAT practice test generator. Build it in the Dock Editor.
Paste the GMAT Data Insights prompt into Claude, Gemini, ChatGPT, or the Dock Editor, then set [QUESTION_TYPE] to one of the five formats or a mixed set covering all of them.
Choose [QUESTION_COUNT] for session length and [SCENARIO_CONTEXT] to keep the underlying data realistic rather than abstract.
Before timing yourself, get comfortable with the five fixed answer choices Data Sufficiency always uses, since recognizing the pattern saves real seconds per question.
Read the full reasoning behind the tempting wrong answer on every item, not just the correct one, since that's where the real Data Insights skill gets built.
Build real Data Insights practice after scoring strong Quant and Verbal but a weak third of the composite on the section that now counts fully.
Drill the fixed five-choice answer structure until it's automatic, since misreading the choices costs real time under the 45-minute Data Insights clock.
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