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Unveiling Insights: Enhancing Your Mock Test Experience with e-GMAT's AI-Powered Analytics
When you take a mock test, you deserve to know the following:
While most mocks provide #1 (score estimate), they rarely provide the tools to answer questions #2 and #3. So we challenged our product team to leverage the power or AI, visualizations, and their knowledge to enable #2 and #3. Here is what they created!
Three Improvement Areas Identified in the Mocks
Arithmetic in Quant Section:
Utilizing insights from the contextual accuracy view and pivot filters, we are able to identify the student’s weakness in Word Problems that was impacting this student’s Arithmetic ability and quant. Spending 5 hours in Word problems would help improve the student’s Quant score by +2/+3 points (scale of 90).
Timing Strategy Across Sections:
The AI powered timing and progression chart identified opportunities for time savings in both the quant and verbal sections. One area that stood out, was algebra, where the student spent excessive time on multiple questions – much longer than other students did. Refining the timing strategy, including where to allocate time more effectively and how to reduce time on questions that don't necessarily contribute to a higher score, was highlighted as essential.
Reading Comprehension in Verbal Section:
Using data from 3 passages, we were able to conclude the quality of the student’s initial read was not up to mark.
This led to a two things:
Correction action: improve the quality of initial read, by possibly slowing down and making notes.
Trackable metric: Improvement in accuracy and time to answer second and third questions of the same RC.
Technology should provide actionable insights and these enhancements are a small, yet important step in that direction. Watch this video in which through a student case study we demonstrate how SIGma-X mocks tests provide all the above pointers that you deserve.
e-GMAT students, ensure that you are reviewing your SIGma-X mock attempts intently so as to get answers to the questions above. We would love to hear what your analysis tells you. And if you need any help, write to us at support@e-gmat.com so that we can help you draw such inferences for your mock attempts!
Happy learning!
Rajat Sadana
Bunnel kristi
When you take a mock test, you deserve to know the following:
- What is your current score on the GMAT Focus Edition?
- Where did you underperform and why?
- How can you get the next 20–30-point improvement with 1 week of effort?
While most mocks provide #1 (score estimate), they rarely provide the tools to answer questions #2 and #3. So we challenged our product team to leverage the power or AI, visualizations, and their knowledge to enable #2 and #3. Here is what they created!
- Contextual accuracy view in which you can easily compare accuracies contextually, across all 10 subsections in the GMAT Focus Edition. The result – you know where the low hanging fruit is. (two case studies in video)
- AI powered Timing/Progression chart: Do you have a timing problem, why do you have one, and how can you fix it – this one chart answers these three questions with utmost precision. (two case studies in video)
- Pivot filters in raw data: So that you focus your attention to only the pertinent questions. (shown with case studies)
Three Improvement Areas Identified in the Mocks
Arithmetic in Quant Section:
Utilizing insights from the contextual accuracy view and pivot filters, we are able to identify the student’s weakness in Word Problems that was impacting this student’s Arithmetic ability and quant. Spending 5 hours in Word problems would help improve the student’s Quant score by +2/+3 points (scale of 90).
Timing Strategy Across Sections:
The AI powered timing and progression chart identified opportunities for time savings in both the quant and verbal sections. One area that stood out, was algebra, where the student spent excessive time on multiple questions – much longer than other students did. Refining the timing strategy, including where to allocate time more effectively and how to reduce time on questions that don't necessarily contribute to a higher score, was highlighted as essential.
Reading Comprehension in Verbal Section:
Using data from 3 passages, we were able to conclude the quality of the student’s initial read was not up to mark.
This led to a two things:
- mistakes in medium difficulty questions
- excessive time on Q2, Q3 in RC.
Correction action: improve the quality of initial read, by possibly slowing down and making notes.
Trackable metric: Improvement in accuracy and time to answer second and third questions of the same RC.
Technology should provide actionable insights and these enhancements are a small, yet important step in that direction. Watch this video in which through a student case study we demonstrate how SIGma-X mocks tests provide all the above pointers that you deserve.
e-GMAT students, ensure that you are reviewing your SIGma-X mock attempts intently so as to get answers to the questions above. We would love to hear what your analysis tells you. And if you need any help, write to us at support@e-gmat.com so that we can help you draw such inferences for your mock attempts!
Happy learning!
Rajat Sadana
Bunnel kristi
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