Make the optimal decision. Select the best combination of items to maximize value without exceeding limits.
Optimize your loadout. Choose the best combination of items to maximize value.
Smart Choice is a decision-making game that builds your ability to evaluate options and make optimal choices. From everyday decisions to high-stakes choices, good decision-making is essential.
The game presents scenarios requiring thoughtful evaluation and choice. You develop the systematic decision-making approach that improves judgment in exams, work, and life.
The game covers decision-making skills:
Scenario Types: • Personal Decisions: Life choices and priorities • Professional Scenarios: Workplace decisions • Financial Choices: Money and investment decisions • Ethical Dilemmas: Values-based decision-making • Strategic Decisions: Long-term planning choices
Learning: Understand why some choices are better than others.
Read the situation requiring a decision.
Consider all available choices and their implications.
Select the best option based on your analysis.
Understand why certain choices were better.
Smart Choice develops decision abilities:
Option Evaluation: Systematically comparing alternatives.
Trade-off Analysis: Weighing costs and benefits.
Risk Assessment: Considering probability and impact.
Prioritization: Identifying what matters most.
Consequence Thinking: Anticipating decision outcomes.
Strong decision-making helps assessments:
MBA Interviews: Case discussions require judgment.
SJTs: Situational judgment tests explicitly test decisions.
Case Studies: Business cases require option evaluation.
Interview Scenarios: Many questions test decision-making.
Smart Choice benefits decision-makers:
• MBA Aspirants: Build case interview judgment • Professionals: Improve workplace decisions • Job Seekers: Prepare for situational questions • Students: Develop life decision skills • Everyone: Daily decisions improve with practice
This game applies decision-making research:
Bounded Rationality: Understanding real-world decision limits.
Heuristics and Biases: Recognizing decision traps.
Feedback Learning: Improving from decision outcomes.
Structured Approaches: Decision frameworks improve quality.
Consider both short-term and long-term consequences
Identify what you are optimizing for in each decision
Be aware of common biases like status quo preference
Consider what information is missing before deciding
Reflect on past decisions to improve future ones
