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14 Oct 2025, 07:34
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Hi everyone,
I recently scored a 665 on the GMAT Focus Edition (V86, Q82, DI81). My journey involved taking my verbal from V81 to V86 and my Data Insights from DI77 to DI81 through systematic, targeted practice.
I'm writing this because I was in a frustrating position many of you might recognize: I already understood GMAT concepts. I could identify premises and conclusions in CR. I knew quant formulas. But I was stuck, consistently making execution errors without understanding why.
The Starting Point: The Missing Piece
When I started, my scores were decent—V81 in Verbal, Q82 in Quant, and DI77 in Data Insights. But "decent" wasn't going to get me where I needed to be. After researching on GMAT Club and seeing consistent praise for e-GMAT, I decided to try their free trial. The strategies I learned in those sessions were genuinely helpful, so I invested in the full course.
My biggest challenge in Critical Reasoning was what I call "the last two answer choice problem." I could understand the questions well. I could comprehend all the options. But I was missing one piece of the puzzle—I couldn't eliminate the last two options without a strong enough reason.
The root cause? I was making assumptions about what the options meant rather than truly analyzing what they actually said. I'd read an option and think "this seems like it could work" based on my assumptions, rather than rigorously testing whether it actually addressed the argument's logical gap. This wasn't a knowledge problem—it was a precision problem in my analytical process.
In Data Insights, Multi-Source Reasoning was my most aggressive weak area. I'd jump between tabs frantically, unable to organize information efficiently. Two-Part Analysis also confused me initially.
And in Quant, despite my technical background, I was making behavioral errors that I knew would cost me on test day.
Solving the CR Puzzle: A Systematic Transformation
My CR breakthrough happened through a systematic progression: learning pre-thinking, making it automatic through cementing quizzes, identifying specific weaknesses through diagnostics, and then surgically targeting those gaps with custom practice.
Pre-thinking: The Foundation
The first strategy I learned was pre-thinking. The method taught me to pause after reading the question stem and actively think: "What kind of answer am I looking for?" before looking at options.
For a weaken question, I'd think "How would I weaken this argument?" This mental preparation meant I approached answer choices with a clear evaluation framework rather than reactively analyzing whatever options appeared.
This was crucial because it addressed part of my root problem—I was jumping into answer choices without a clear evaluation criterion, making it easier to fall for trap answers that "seemed right" based on my assumptions.
Cementing Quizzes: Making Pre-thinking Automatic
But knowing about pre-thinking and consistently applying it under time pressure are completely different things. This is where cementing quizzes became transformative.
Before e-GMAT, answer choice elimination was something I consciously had to force myself to do. And honestly, sometimes I'd skip that step without even realizing it. But after practicing hundreds of questions through e-GMAT's cementing quizzes, something shifted. Elimination became second nature. I no longer had to think "now I should eliminate"—my mind automatically analyzed each option systematically.
The same thing happened with pre-thinking. Initially, I consciously forced myself to pause and pre-think. After extensive practice through cementing quizzes, I found myself naturally pre-thinking without deliberate effort. That automaticity freed my mind to focus on deeper analysis rather than remembering to follow a process.
The Explanations That Fixed My Thinking
What made this transformation permanent were the detailed explanations for every single option. They didn't just tell me which answer was correct. They addressed the exact assumptions I'd likely made for each incorrect choice: "You probably chose this because you assumed X, but that assumption is flawed because Y."
This is exactly what I needed. The explanations showed me that I was making unwarranted assumptions—reading things into options that weren't actually there, or missing subtle but crucial distinctions between similar-sounding choices. By seeing my faulty assumptions called out repeatedly across hundreds of questions, I learned to analyze what options actually said rather than what I thought they meant.
It felt like the platform was reading my mind and correcting my exact thought process. This specificity helped me understand not just what was wrong, but why my thinking was wrong. That's what fixed my approach permanently.
Diagnostic Quizzes: Revealing Hidden Weaknesses
As I progressed through cementing quizzes, diagnostic assessments revealed something I hadn't realized: my weaknesses weren't uniform across all CR question types. Boldface and inference questions were my biggest problems. I hadn't even realized different question types required different approaches until e-GMAT showed me.
Once I learned to group similar question types—assumption, strengthen, and weaken all using similar analytical frameworks—things started clicking. But knowing the frameworks wasn't enough. I needed targeted practice on boldface and inference specifically.
Custom Quizzes: Surgical Strikes on Weak Areas
This is where custom quizzes became invaluable. I could create quizzes focused exclusively on my weak question types, select difficulty levels, choose time settings, and even draw questions from my error log. This wasn't random practice—it was surgical precision targeting exactly what I needed to improve.
I practiced over a thousand questions on Scholaranium, but every practice session was purposeful, driven by data showing exactly where I was weak.
The Results
This systematic approach delivered tangible results: my hard CR accuracy improved from 50% to 80%, and my average time per question came down from over 2 minutes to exactly 2 minutes.
Reading Comprehension: Building Mental Storylines
RC initially scared me because of time management. I would just scan passages quickly, then hunt for answers when questions appeared. This created both time pressure and accuracy issues.
The reading strategies I learned taught me something crucial: the author isn't writing anything irrelevant—everything serves a purpose. I learned to build a complete storyline in my head while reading, creating a comprehensive picture of the passage structure and main ideas before tackling questions.
For biological or historical passages with complex terminology, the strategy was clear: focus on broader themes, not technical details. Questions typically test main ideas and author intent, not obscure terminology you can't even pronounce.
One drill that really helped involved hiding the passage after reading and testing my comprehension. This forced me to truly understand rather than just scan words. I realized that investing 2-3 minutes upfront to properly comprehend meant I could answer most questions in under a minute. The time investment upfront paid off massively.
Data Insights: Learning to Own the Data Set
Data Insights improved from DI77 to DI81, and the transformation came from mastering the "owning the data set" strategy, especially for Multi-Source Reasoning—my most aggressive weak area.
MSR questions have multiple tabs with different information. Initially, I'd frantically jump between tabs, unable to organize information efficiently. Even understanding what the question wanted felt overwhelming.
The owning the data set approach taught me to invest time in the first question. Take extra time—maybe 3-4 minutes—to comprehend details from each tab and build a complete mental map of how information connects. Yes, the first question takes longer, but subsequent questions become much faster because I'd already internalized the data structure.
As I learned through practice: if you build a good mind map in the first question, it becomes easier to approach the remaining questions without constantly re-reading tabs.
This front-loading of effort was transformative and became the main reason for my improvement in MSR.
I also learned strategic time management for DI overall: some questions aren't worth the time investment. I learned to quickly assess whether a question was worth pursuing deeply or if I should make an educated guess and preserve time for questions where I had stronger chances. The goal is overall section effectiveness, not perfecting any single question.
For Two-Part Analysis, which also confused me initially, applying the same CR elimination principles—systematically analyzing each component—significantly improved my performance.
The Analytics That Showed Me What I Couldn't See
Throughout this journey, e-GMAT's analytics on Scholaranium (their question bank) played a crucial role in directing my efforts. The gamified progress tracking wasn't just motivating—it provided clarity about where to focus next.
I could see exactly where I stood: "I've improved significantly on this, so I'll maintain it" or "I haven't improved here, so this needs immediate attention." This clarity prevented wasted effort on areas I'd already mastered.
The Xpert AI feature was particularly valuable. It didn't just tell me if I got questions right or wrong—it helped analyze whether I got them right for the right reasons and under the right conditions. This distinction matters enormously when trying to improve from V81 to V86. Getting a question correct through systematic analysis versus lucky guessing are completely different outcomes.
The error log tracked every mistake across all my practice, revealing patterns that would have been invisible otherwise. Was I consistently missing certain question types? This visibility enabled me to create custom quizzes targeting exactly those gaps.
NEURON: Quality Practice with Official Questions
NEURON was relatively new when I was preparing, and it became invaluable for targeted practice. It contained official GMAT questions with e-GMAT's detailed explanations.
The flexibility was perfect: I could select just 5-10 questions for focused practice sessions, choosing specific difficulty levels and question types. This was ideal when I wanted practice but didn't have time for a full cementing quiz.
The small question sets also meant I could remember each question clearly during review, making error analysis much more effective than reviewing larger quizzes where later questions blurred together.
Test Readiness: Why Sectional Mocks Mattered More
As I approached test readiness, I had to decide how to validate my preparation. This is where I learned something important: sectional mocks are much more valuable than full-length mocks during most of your preparation.
Full-length mocks are 2 hours and 15 minutes—very lengthy. When you're still refining skills, full tests can be demotivating. You're managing stamina across sections rather than testing pure ability in each area.
Sectional mocks let me approach each section with maximum concentration and energy. I wasn't worried about conserving energy for later sections—I could give my full effort to testing whether my strategies actually worked under timed conditions.
I gave only three full-length mocks but more than 15 sectional mocks across all sections. The sectional mocks helped me identify pacing issues specific to each section, build stamina gradually, and analyze mistakes without the mental fatigue of a full test.
When I did take full-length mocks, the Sigma-X mocks from e-GMAT were remarkably predictive. I scored around 675 on one mock, and my final score was 665—extremely close. They accurately replicated the official GMAT experience.
I'd tried mocks from other companies—some were too hard (I'd score 595-605, which destroyed my confidence) while others gave false hope. Sigma-X mocks gave accurate assessments of my actual ability, which was crucial for building realistic confidence.
Test Day: The Lessons from Costly Mistakes
Despite strong quant ability, I scored Q82 instead of the higher score I was capable of. Here's exactly what happened.
I completed Quant in 34 minutes with 11 minutes remaining. I even reviewed every single question. Yet I couldn't catch my mistakes.
I got the very first question wrong—a basic question I'd never miss in practice. I probably misread a word or misinterpreted something in the rush of test day nerves.
Then I got another question wrong around the 12-minute mark.
Those two mistakes—just two questions—cost me 8 points.
The lesson for anyone with technical background and confidence in Quant: the concepts are straightforward. What matters is focus and accuracy under pressure. Don't rush. Don't be anxious. Be completely focused on each problem. Make sure you don't make silly mistakes or miss any words while reading the question or selecting your answer.
You'll complete Quant well within time. What separates good scores from great scores is maintaining focus and accuracy throughout, not speed.
What Really Made The Difference
Looking back at my improvement from V81 to V86, DI77 to DI81, and achieving 665 overall, three elements were crucial:
Making conscious processes subconscious: The biggest transformation was practicing strategies—pre-thinking, answer elimination, strategic reading—so extensively through cementing quizzes that they became automatic. That automaticity is what enables consistent high performance.
Understanding my specific mistakes: The detailed explanations showing exactly why I was thinking incorrectly—not just which answer was right—fixed my thought process. Custom quizzes and error logs enabled surgical strikes on specific weaknesses rather than random practice.
Sectional mastery before full-length testing: Perfecting each section individually through 15+ sectional mocks before attempting full tests meant I approached the exam with confidence in each component, not just hope things would work out.
Final Thoughts
If you're in a similar position—you understand concepts but can't break through to your target score—targeted improvement is absolutely possible. You don't need to relearn everything. You need to identify specific execution gaps and systematically eliminate them through focused practice.
At higher GMAT scores, success is less about knowing strategies and more about applying them automatically under pressure. It's about making pre-thinking your default mode, building mental storylines while reading, and knowing when to invest time versus when to move on.
For me, the journey from V81 to V86 was about transforming conscious knowledge into subconscious execution. e-GMAT's platform enabled that through targeted practice on exact weaknesses, analytics showing gaps I couldn't see myself, and realistic validation through sectional and full-length mocks.
To everyone on this journey: trust the process of targeted improvement. Be focused. Don't rush. Maintain accuracy over speed. And remember—even if one section doesn't go as planned on test day, keep your composure and finish strong.
Happy to answer any questions about my experience!
Best
I recently scored a 665 on the GMAT Focus Edition (V86, Q82, DI81). My journey involved taking my verbal from V81 to V86 and my Data Insights from DI77 to DI81 through systematic, targeted practice.
I'm writing this because I was in a frustrating position many of you might recognize: I already understood GMAT concepts. I could identify premises and conclusions in CR. I knew quant formulas. But I was stuck, consistently making execution errors without understanding why.
The Starting Point: The Missing Piece
When I started, my scores were decent—V81 in Verbal, Q82 in Quant, and DI77 in Data Insights. But "decent" wasn't going to get me where I needed to be. After researching on GMAT Club and seeing consistent praise for e-GMAT, I decided to try their free trial. The strategies I learned in those sessions were genuinely helpful, so I invested in the full course.
My biggest challenge in Critical Reasoning was what I call "the last two answer choice problem." I could understand the questions well. I could comprehend all the options. But I was missing one piece of the puzzle—I couldn't eliminate the last two options without a strong enough reason.
The root cause? I was making assumptions about what the options meant rather than truly analyzing what they actually said. I'd read an option and think "this seems like it could work" based on my assumptions, rather than rigorously testing whether it actually addressed the argument's logical gap. This wasn't a knowledge problem—it was a precision problem in my analytical process.
In Data Insights, Multi-Source Reasoning was my most aggressive weak area. I'd jump between tabs frantically, unable to organize information efficiently. Two-Part Analysis also confused me initially.
And in Quant, despite my technical background, I was making behavioral errors that I knew would cost me on test day.
Solving the CR Puzzle: A Systematic Transformation
My CR breakthrough happened through a systematic progression: learning pre-thinking, making it automatic through cementing quizzes, identifying specific weaknesses through diagnostics, and then surgically targeting those gaps with custom practice.
Pre-thinking: The Foundation
The first strategy I learned was pre-thinking. The method taught me to pause after reading the question stem and actively think: "What kind of answer am I looking for?" before looking at options.
For a weaken question, I'd think "How would I weaken this argument?" This mental preparation meant I approached answer choices with a clear evaluation framework rather than reactively analyzing whatever options appeared.
This was crucial because it addressed part of my root problem—I was jumping into answer choices without a clear evaluation criterion, making it easier to fall for trap answers that "seemed right" based on my assumptions.
Cementing Quizzes: Making Pre-thinking Automatic
But knowing about pre-thinking and consistently applying it under time pressure are completely different things. This is where cementing quizzes became transformative.
Before e-GMAT, answer choice elimination was something I consciously had to force myself to do. And honestly, sometimes I'd skip that step without even realizing it. But after practicing hundreds of questions through e-GMAT's cementing quizzes, something shifted. Elimination became second nature. I no longer had to think "now I should eliminate"—my mind automatically analyzed each option systematically.
The same thing happened with pre-thinking. Initially, I consciously forced myself to pause and pre-think. After extensive practice through cementing quizzes, I found myself naturally pre-thinking without deliberate effort. That automaticity freed my mind to focus on deeper analysis rather than remembering to follow a process.
The Explanations That Fixed My Thinking
What made this transformation permanent were the detailed explanations for every single option. They didn't just tell me which answer was correct. They addressed the exact assumptions I'd likely made for each incorrect choice: "You probably chose this because you assumed X, but that assumption is flawed because Y."
This is exactly what I needed. The explanations showed me that I was making unwarranted assumptions—reading things into options that weren't actually there, or missing subtle but crucial distinctions between similar-sounding choices. By seeing my faulty assumptions called out repeatedly across hundreds of questions, I learned to analyze what options actually said rather than what I thought they meant.
It felt like the platform was reading my mind and correcting my exact thought process. This specificity helped me understand not just what was wrong, but why my thinking was wrong. That's what fixed my approach permanently.
Diagnostic Quizzes: Revealing Hidden Weaknesses
As I progressed through cementing quizzes, diagnostic assessments revealed something I hadn't realized: my weaknesses weren't uniform across all CR question types. Boldface and inference questions were my biggest problems. I hadn't even realized different question types required different approaches until e-GMAT showed me.
Once I learned to group similar question types—assumption, strengthen, and weaken all using similar analytical frameworks—things started clicking. But knowing the frameworks wasn't enough. I needed targeted practice on boldface and inference specifically.
Custom Quizzes: Surgical Strikes on Weak Areas
This is where custom quizzes became invaluable. I could create quizzes focused exclusively on my weak question types, select difficulty levels, choose time settings, and even draw questions from my error log. This wasn't random practice—it was surgical precision targeting exactly what I needed to improve.
I practiced over a thousand questions on Scholaranium, but every practice session was purposeful, driven by data showing exactly where I was weak.
The Results
This systematic approach delivered tangible results: my hard CR accuracy improved from 50% to 80%, and my average time per question came down from over 2 minutes to exactly 2 minutes.
Reading Comprehension: Building Mental Storylines
RC initially scared me because of time management. I would just scan passages quickly, then hunt for answers when questions appeared. This created both time pressure and accuracy issues.
The reading strategies I learned taught me something crucial: the author isn't writing anything irrelevant—everything serves a purpose. I learned to build a complete storyline in my head while reading, creating a comprehensive picture of the passage structure and main ideas before tackling questions.
For biological or historical passages with complex terminology, the strategy was clear: focus on broader themes, not technical details. Questions typically test main ideas and author intent, not obscure terminology you can't even pronounce.
One drill that really helped involved hiding the passage after reading and testing my comprehension. This forced me to truly understand rather than just scan words. I realized that investing 2-3 minutes upfront to properly comprehend meant I could answer most questions in under a minute. The time investment upfront paid off massively.
Data Insights: Learning to Own the Data Set
Data Insights improved from DI77 to DI81, and the transformation came from mastering the "owning the data set" strategy, especially for Multi-Source Reasoning—my most aggressive weak area.
MSR questions have multiple tabs with different information. Initially, I'd frantically jump between tabs, unable to organize information efficiently. Even understanding what the question wanted felt overwhelming.
The owning the data set approach taught me to invest time in the first question. Take extra time—maybe 3-4 minutes—to comprehend details from each tab and build a complete mental map of how information connects. Yes, the first question takes longer, but subsequent questions become much faster because I'd already internalized the data structure.
As I learned through practice: if you build a good mind map in the first question, it becomes easier to approach the remaining questions without constantly re-reading tabs.
This front-loading of effort was transformative and became the main reason for my improvement in MSR.
I also learned strategic time management for DI overall: some questions aren't worth the time investment. I learned to quickly assess whether a question was worth pursuing deeply or if I should make an educated guess and preserve time for questions where I had stronger chances. The goal is overall section effectiveness, not perfecting any single question.
For Two-Part Analysis, which also confused me initially, applying the same CR elimination principles—systematically analyzing each component—significantly improved my performance.
The Analytics That Showed Me What I Couldn't See
Throughout this journey, e-GMAT's analytics on Scholaranium (their question bank) played a crucial role in directing my efforts. The gamified progress tracking wasn't just motivating—it provided clarity about where to focus next.
I could see exactly where I stood: "I've improved significantly on this, so I'll maintain it" or "I haven't improved here, so this needs immediate attention." This clarity prevented wasted effort on areas I'd already mastered.
The Xpert AI feature was particularly valuable. It didn't just tell me if I got questions right or wrong—it helped analyze whether I got them right for the right reasons and under the right conditions. This distinction matters enormously when trying to improve from V81 to V86. Getting a question correct through systematic analysis versus lucky guessing are completely different outcomes.
The error log tracked every mistake across all my practice, revealing patterns that would have been invisible otherwise. Was I consistently missing certain question types? This visibility enabled me to create custom quizzes targeting exactly those gaps.
NEURON: Quality Practice with Official Questions
NEURON was relatively new when I was preparing, and it became invaluable for targeted practice. It contained official GMAT questions with e-GMAT's detailed explanations.
The flexibility was perfect: I could select just 5-10 questions for focused practice sessions, choosing specific difficulty levels and question types. This was ideal when I wanted practice but didn't have time for a full cementing quiz.
The small question sets also meant I could remember each question clearly during review, making error analysis much more effective than reviewing larger quizzes where later questions blurred together.
Test Readiness: Why Sectional Mocks Mattered More
As I approached test readiness, I had to decide how to validate my preparation. This is where I learned something important: sectional mocks are much more valuable than full-length mocks during most of your preparation.
Full-length mocks are 2 hours and 15 minutes—very lengthy. When you're still refining skills, full tests can be demotivating. You're managing stamina across sections rather than testing pure ability in each area.
Sectional mocks let me approach each section with maximum concentration and energy. I wasn't worried about conserving energy for later sections—I could give my full effort to testing whether my strategies actually worked under timed conditions.
I gave only three full-length mocks but more than 15 sectional mocks across all sections. The sectional mocks helped me identify pacing issues specific to each section, build stamina gradually, and analyze mistakes without the mental fatigue of a full test.
When I did take full-length mocks, the Sigma-X mocks from e-GMAT were remarkably predictive. I scored around 675 on one mock, and my final score was 665—extremely close. They accurately replicated the official GMAT experience.
I'd tried mocks from other companies—some were too hard (I'd score 595-605, which destroyed my confidence) while others gave false hope. Sigma-X mocks gave accurate assessments of my actual ability, which was crucial for building realistic confidence.
Test Day: The Lessons from Costly Mistakes
Despite strong quant ability, I scored Q82 instead of the higher score I was capable of. Here's exactly what happened.
I completed Quant in 34 minutes with 11 minutes remaining. I even reviewed every single question. Yet I couldn't catch my mistakes.
I got the very first question wrong—a basic question I'd never miss in practice. I probably misread a word or misinterpreted something in the rush of test day nerves.
Then I got another question wrong around the 12-minute mark.
Those two mistakes—just two questions—cost me 8 points.
The lesson for anyone with technical background and confidence in Quant: the concepts are straightforward. What matters is focus and accuracy under pressure. Don't rush. Don't be anxious. Be completely focused on each problem. Make sure you don't make silly mistakes or miss any words while reading the question or selecting your answer.
You'll complete Quant well within time. What separates good scores from great scores is maintaining focus and accuracy throughout, not speed.
What Really Made The Difference
Looking back at my improvement from V81 to V86, DI77 to DI81, and achieving 665 overall, three elements were crucial:
Making conscious processes subconscious: The biggest transformation was practicing strategies—pre-thinking, answer elimination, strategic reading—so extensively through cementing quizzes that they became automatic. That automaticity is what enables consistent high performance.
Understanding my specific mistakes: The detailed explanations showing exactly why I was thinking incorrectly—not just which answer was right—fixed my thought process. Custom quizzes and error logs enabled surgical strikes on specific weaknesses rather than random practice.
Sectional mastery before full-length testing: Perfecting each section individually through 15+ sectional mocks before attempting full tests meant I approached the exam with confidence in each component, not just hope things would work out.
Final Thoughts
If you're in a similar position—you understand concepts but can't break through to your target score—targeted improvement is absolutely possible. You don't need to relearn everything. You need to identify specific execution gaps and systematically eliminate them through focused practice.
At higher GMAT scores, success is less about knowing strategies and more about applying them automatically under pressure. It's about making pre-thinking your default mode, building mental storylines while reading, and knowing when to invest time versus when to move on.
For me, the journey from V81 to V86 was about transforming conscious knowledge into subconscious execution. e-GMAT's platform enabled that through targeted practice on exact weaknesses, analytics showing gaps I couldn't see myself, and realistic validation through sectional and full-length mocks.
To everyone on this journey: trust the process of targeted improvement. Be focused. Don't rush. Maintain accuracy over speed. And remember—even if one section doesn't go as planned on test day, keep your composure and finish strong.
Happy to answer any questions about my experience!
Best
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15 Oct 2025, 06:12
Kudos
Bookmarks
Vitthal19 Congratulations on your score! 
Your observation that you were "making assumptions about what options meant rather than truly analyzing what they actually said" captures something I see repeatedly at the V80+ level - the gap isn't conceptual understanding, it's analytical precision under pressure.
What fascinates me most about your journey is the transformation from conscious strategy application to automatic execution. The cementing practice making pre-thinking "second nature" - that's exactly the threshold where consistent high performance becomes possible. Many test-takers know what to do but still have to force themselves to do it, which breaks down under test day pressure.
The Sectional Mock Strategy
Your approach - 15+ sectional mocks versus only 3 full-length - challenges conventional wisdom.
The principle you've demonstrated is crucial: at high score levels, improvement comes from making good processes subconscious, not from learning new strategies. That automaticity is what enables the precision needed to eliminate trap answers that "seem right based on assumptions."
Congratulations on V86 - that's a significant achievement requiring exactly the kind of systematic, behavioral refinement you described.
Your observation that you were "making assumptions about what options meant rather than truly analyzing what they actually said" captures something I see repeatedly at the V80+ level - the gap isn't conceptual understanding, it's analytical precision under pressure.
What fascinates me most about your journey is the transformation from conscious strategy application to automatic execution. The cementing practice making pre-thinking "second nature" - that's exactly the threshold where consistent high performance becomes possible. Many test-takers know what to do but still have to force themselves to do it, which breaks down under test day pressure.
The Sectional Mock Strategy
Your approach - 15+ sectional mocks versus only 3 full-length - challenges conventional wisdom.
The principle you've demonstrated is crucial: at high score levels, improvement comes from making good processes subconscious, not from learning new strategies. That automaticity is what enables the precision needed to eliminate trap answers that "seem right based on assumptions."
Congratulations on V86 - that's a significant achievement requiring exactly the kind of systematic, behavioral refinement you described.
