Rigorous Reasoning

Problem Solving Logic

Building a Structured Problem Map

Teaches students to formalize practical reasoning into goals, constraints, candidate strategies, and a justified next step, using an explicit problem map that can be written down and critiqued.

Read for structure, not just vocabulary. The goal is to learn how natural-language claims are converted into a cleaner formal shape.

Problem SolvingFormalizationLesson 2 of 40% progress

Start Here

What this lesson is helping you do

Teaches students to formalize practical reasoning into goals, constraints, candidate strategies, and a justified next step, using an explicit problem map that can be written down and critiqued. The practice in this lesson depends on understanding Problem State, Goal State, Constraint, and Strategy Selection and applying tools such as Clarify the Goal Before Choosing a Strategy and Respect Constraints correctly.

How to approach it

Read for structure, not just vocabulary. The goal is to learn how natural-language claims are converted into a cleaner formal shape.

What the practice is building

You will put the explanation to work through guided problem solving, quiz, analysis practice, evaluation practice, rapid identification, and diagnosis practice activities, so the goal is not just to recognize the idea but to use it under your own control.

What success should let you do

Build 3 structured problem maps with explicit option comparison and a justified next move.

Reading Path

Move through the lesson in this order

The page is designed to teach before it tests. Use this sequence to keep the reading, examples, and practice in the right relationship.

Read

Build the mental model

Move through the guided explanation first so the central distinction and purpose are clear before you evaluate your own work.

Study

Watch the move in context

Use the worked example to see how the reasoning behaves when someone else performs it carefully.

Do

Practice with a standard

Only then move into the activities, using the pause-and-check prompts as a final checkpoint before you submit.

Guided Explanation

Read this before you try the activity

These sections give the learner a usable mental model first, so the practice feels like application rather than guesswork.

Core structure

What a problem map looks like

A problem map is a written structure that captures a problem in a form you can reason about. It has six fields: the problem state, the goal state, the constraints, the resources, the candidate strategies, and the recommended next step. The map is not a solution — it is a thinking tool that makes the problem visible enough to solve.

Writing the map down matters. Problems that feel overwhelming in your head often become manageable once they're written out. The act of filling in the fields forces you to notice what's clear and what's fuzzy. If one field is blank, that's a signal to investigate, not to proceed.

What to look for

  • Fill in all six fields, even briefly.
  • Treat blank fields as a sign to gather more information.
  • Re-read the map to check for consistency.
A problem map turns an overwhelming situation into six visible fields.

Strategy generation

Generating candidate strategies

The hardest part of most problem maps is generating candidate strategies. Most people stop at the first strategy that comes to mind. A better habit is to force yourself to generate at least three candidates before choosing, even if some of them seem weak.

Useful brainstorming prompts include: what's the most direct approach? What's the cheapest approach? What would you try if time were no constraint? What's the safest approach? What would you do if you had to start over? Asking variations like these surfaces strategies that don't show up when you only ask 'what should I do?'

What to look for

  • Generate at least three candidate strategies.
  • Use multiple prompts ('cheapest,' 'safest,' 'most direct') to surface different kinds.
  • Write the candidates down before judging them.
Three candidates is the floor — more is usually better, one is almost never enough.

Action specificity

Choosing the next step, not just the final plan

Problem maps should end with a concrete next step, not just an aspirational strategy. 'Study for the exam' is not a next step. 'Spend the next 45 minutes making a flashcard set for chapter 7' is a next step. The difference is that the second tells you what to do when you put the pen down.

The reason next-step specificity matters is that most plans fail not because they were wrong, but because the reasoner never actually started executing them. A specific next step lets you begin immediately. If you can't say what you'll do in the next hour, your plan is still at the aspiration stage.

What to look for

  • Write a next step that names a specific action.
  • Include a duration or deadline if possible.
  • Ask whether you could start right now without further thinking.
A good problem map ends with something you can do in the next hour.

Decision discipline

Comparing strategies against explicit criteria

When you have multiple candidate strategies, the comparison step is where most problem solvers cut corners. The discipline is to name the criteria — goal fit, constraint fit, cost, risk, reversibility — and then say how each candidate performs on each criterion. This turns a gut decision into a visible one.

The comparison does not need to be numerical. A short table with 'strong / moderate / weak' entries is often enough. The value is in making the tradeoffs explicit so that you can see why you're choosing one option over another. If you can't articulate the tradeoff, you are not yet ready to commit.

What to look for

  • Name at least three criteria.
  • Score each candidate on each criterion with a short justification.
  • Identify the main tradeoff you're accepting.
Explicit comparison converts gut decisions into defensible ones.

Core Ideas

The main concepts to keep in view

Use these as anchors while you read the example and draft your response. If the concepts blur together, the practice usually blurs too.

Problem State

The current situation that must be understood before a reasonable plan can be formed, including what is known, what is unknown, and what has already been tried.

Why it matters: Good problem solving starts with describing the present situation accurately rather than racing to a solution.

Goal State

The outcome or condition the reasoner is trying to reach, stated clearly enough to tell whether a proposed solution would actually produce it.

Why it matters: A clear goal helps determine which strategies are relevant and when the problem is actually solved.

Constraint

A limitation, requirement, or condition that shapes which solutions are acceptable — time, budget, rules, resources, or policies.

Why it matters: A plan that ignores constraints is not a genuine solution; it is an aspiration.

Strategy Selection

The process of comparing available approaches and choosing the one that best fits the problem, given the goals and constraints.

Why it matters: Problem solving requires judgment about which path is most promising; the process itself is a reasoning step.

Reference

Open these only when you need the extra structure

How the lesson is meant to unfold

Concept Intro

The core idea is defined and separated from nearby confusions.

Formalization Demo

The lesson shows how the same reasoning looks once its structure is made explicit.

Worked Example

A complete example demonstrates what correct reasoning looks like in context.

Guided Practice

You apply the idea with scaffolding still visible.

Independent Practice

You work more freely, with less support, to prove the idea is sticking.

Assessment Advice

Use these prompts to judge whether your reasoning meets the standard.

Mastery Check

The final target tells you what successful understanding should enable you to do.

Reasoning tools and formal patterns

Rules and standards

These are the criteria the unit uses to judge whether your reasoning is actually sound.

Clarify the Goal Before Choosing a Strategy

A strategy cannot be assessed well until the goal state is explicit and specific enough to recognize success.

Common failures

  • The learner starts proposing solutions before identifying the actual goal.
  • The target outcome remains vague or shifts during the analysis.

Respect Constraints

A proposed solution must fit the relevant time, resource, and rule constraints of the problem.

Common failures

  • The plan assumes resources that are not available.
  • The solution ignores explicit limitations or requirements.

Compare Options Explicitly

A good practical judgment weighs at least two plausible options before committing to a path.

Common failures

  • Only one option is considered.
  • The chosen path is asserted without comparison or tradeoff analysis.

Build In Revision Triggers

A good plan names the observations that would justify revising or abandoning it.

Common failures

  • The plan has no stopping or revision conditions.
  • The reasoner continues executing the plan even when obvious failure signals appear.

Patterns

Use these when you need to turn a messy passage into a cleaner logical structure before evaluating it.

Problem Map Schema

Input form

practical_problem

Output form

structured_problem_map

Steps

  • State the current problem state.
  • State the goal state.
  • List key constraints and available resources.
  • List candidate strategies.
  • Compare the strategies against the goal and constraints.
  • Choose the best next step and name its revision triggers.

Watch for

  • Skipping the constraint analysis.
  • Treating a first idea as if it were already the best option.
  • Confusing the final goal with the immediate next action.

Decision Matrix

Input form

multiple_candidate_solutions

Output form

criteria_based_comparison

Steps

  • Identify at least two candidate strategies.
  • Name the criteria for judging them (goal fit, constraint fit, cost, risk, reversibility).
  • Compare how each option handles the criteria.
  • Identify tradeoffs.
  • State the most reasonable current strategy and the conditions that would reopen the comparison.

Watch for

  • Choosing without explicit criteria.
  • Ignoring obvious tradeoffs.
  • Treating a provisional choice as irreversible.

Worked Through

Examples that model the standard before you try it

Do not skim these. A worked example earns its place when you can point to the exact move it is modeling and the mistake it is trying to prevent.

Worked Example

Choosing a Study Plan

A strong problem map compares options against the goal and constraints instead of rewarding whatever feels decisive. Option B wins because it targets the biggest marginal gain under the time budget.

Case

A learner has three exams in five days and only eight hours of study time left. Exam A: hardest, worth 40%, strong foundation. Exam B: medium, worth 30%, weakest on it. Exam C: easy, worth 30%, moderate preparation.

Goal State

Maximize expected total points across the three exams given the 8-hour constraint.

Constraints

  • 8 hours total
  • at least 6 hours sleep per night
  • one meeting that cannot move

Problem State

Three exams, 8 hours total study, uneven weakness, fixed schedule.

Candidate Strategies

  • {"name":"Option A — Focus on hardest class","goal_fit":"Strong for Exam A alone, weak for total points.","tradeoff":"Gains on A but loses ground on B and C.","description":"Spend all 8 hours on Exam A.","constraint_fit":"Fits the time budget."}
  • {"name":"Option B — Weight by weakness and value","goal_fit":"Best for total expected score given current state.","tradeoff":"Requires accepting that A review will be minimal.","description":"4 hours on B (biggest gap), 2 hours on C, 2 hours on A (light review).","constraint_fit":"Fits the time budget."}
  • {"name":"Option C — Equal split","goal_fit":"Moderate, doesn't target the biggest gap.","tradeoff":"Fails to prioritize where the marginal point gain is highest.","description":"About 2.67 hours on each exam.","constraint_fit":"Fits the time budget."}

Recommended Next Step

Spend the next 90 minutes on Exam B, specifically chapters 3-4, which cover the material the learner reported feeling weakest on. Revisit the problem map tomorrow morning.

Pause and Check

Questions to use before you move into practice

Self-check questions

  • What exactly is my next action, and why is it better than the alternatives?
  • Do my options genuinely fit the stated constraints?
  • Can I name the tradeoff I'm accepting?

Practice

Now apply the idea yourself

Move into practice only after you can name the standard you are using and the structure you are trying to preserve or evaluate.

Guided Problem Solving

Problem Solving

Build a Problem Map

For each case, build a complete problem map with problem state, goal state, constraints, resources, three candidate strategies, a criterion-based comparison, and a specific next step.

Three complete problem-mapping cases

Each case is messy. Fill in all six fields and include a three-row comparison table.

Case 1 — Study plan under pressure

A learner has three exams in five days and only eight hours of total study time available. Exam A is the hardest and worth the most points, but the learner already has a strong foundation. Exam B is medium difficulty but the learner is weakest on it. Exam C is easy but worth a lot. The learner must also sleep at least six hours each night and has one meeting they cannot move.

What are the three candidate study plans? Which criteria should you use to compare them?

Case 2 — Moving to a new city

A graduate student is relocating for an internship. They have $800, three weeks, a car of uncertain long-distance reliability, and a week's couch at a friend's place in the destination city. They need to find housing, transport their possessions, wrap up their current lease, and arrive rested before the internship starts.

Generate strategies that vary in cost, speed, and risk.

Case 3 — Product bug triage

A production system is returning incorrect results for 2% of requests. The bug has been present for three weeks. Reverting the last deployment would remove customer-requested fixes. The on-call engineer has never seen this code. The team has four engineers available for the next 48 hours and a customer escalation comes in every two hours.

What's the problem state? What's the goal? What candidate triage strategies exist?

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Quiz

Problem Solving

Scenario Check: Building a Structured Problem Map

Each question presents a scenario or challenge. Answer in two to four sentences. Focus on showing that you can use what you learned, not just recall it.

Scenario questions

Work through each scenario. Precise, specific answers are better than long vague ones.

Question 1 — Diagnose

A student makes the following mistake: "Listing options without comparing them." Explain specifically what is wrong with this reasoning and what the student should have done instead.

Can the student identify the flaw and articulate the correction?

Question 2 — Apply

You encounter a new argument that you have never seen before. Walk through exactly how you would build problem map, starting from scratch. Be specific about each step and explain why the order matters.

Can the student transfer the skill of build problem map to a genuinely new case?

Question 3 — Distinguish

Someone confuses problem state with goal state. Write a short explanation that would help them see the difference, and give one example where getting them confused leads to a concrete mistake.

Does the student understand the boundary between the two concepts?

Question 4 — Transfer

The worked example "Choosing a Study Plan" showed one way to handle a specific case. Describe a situation where the same method would need to be adjusted, and explain what you would change and why.

Can the student adapt the demonstrated method to a variation?

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Guided Problem Solving

Problem Solving

Strategy Selection: Building a Structured Problem Map

Read each problem scenario. Identify the most appropriate problem-solving strategy, justify your choice, and outline the first three steps of your solution.

Practice scenarios

Work through each scenario carefully. Apply the concepts from this lesson.

Problem 1

A hospital needs to reduce emergency room wait times from 4 hours to under 1 hour. Budget increases are not possible. Staff are already working overtime.

Problem 2

A software team discovers that 80% of their bugs come from 20% of their modules. They have 6 weeks before release and need to cut the bug rate in half.

Problem 3

A city wants to reduce traffic congestion but cannot build new roads. Public transit ridership is declining despite subsidies.

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Analysis Practice

Problem Solving

Constraint Analysis: Building a Structured Problem Map

Identify the constraints, assumptions, and trade-offs in each problem. Which constraints are hard (non-negotiable) and which are soft (flexible)?

Practice scenarios

Work through each scenario carefully. Apply the concepts from this lesson.

Scenario A

A school must improve test scores within one academic year using only existing staff. The principal believes smaller class sizes are the answer, but the building has no additional rooms.

Scenario B

A restaurant wants to add delivery service but the kitchen is already at capacity during peak hours, and hiring new cooks would take months of training.

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Evaluation Practice

Problem Solving

Evaluate Solutions: Building a Structured Problem Map

Three proposed solutions are offered for each problem. Evaluate each on feasibility, effectiveness, and potential unintended consequences. Recommend the best option.

Practice scenarios

Work through each scenario carefully. Apply the concepts from this lesson.

Problem

A university library is running out of physical shelf space. Solution A: Digitize all books and remove shelves. Solution B: Build an off-site storage facility and retrieve books on request. Solution C: Remove books not checked out in 10 years.

Problem

A factory's error rate is 5%. Solution A: Add a second quality inspector. Solution B: Retrain all workers. Solution C: Replace the oldest 20% of machines.

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Guided Problem Solving

Problem Solving

Deep Practice: Building a Structured Problem Map

Each scenario presents a multi-constraint problem. Define the problem clearly, identify constraints, generate solutions, evaluate trade-offs, and recommend an approach.

Complex problem scenarios

Apply a structured problem-solving framework to each case. Address feasibility, risks, and implementation steps.

Scenario A

A school district must reduce its budget by 15% without laying off teachers or closing schools. Current spending: 60% salaries, 20% facilities, 10% supplies, 10% transportation. Student enrollment is increasing 3% annually.

Scenario B

A software startup has 4 developers and 6 months to build a product that typically takes a team of 10 one year. They cannot hire more staff but can use open-source tools. The product must be secure enough for healthcare data.

Scenario C

A coastal town's only freshwater source (a river) is projected to decrease by 30% due to upstream damming. The population is growing. Desalination costs 5x more than river water. The town budget cannot increase.

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Guided Problem Solving

Problem Solving

Real-World Transfer: Building a Structured Problem Map

Apply structured problem-solving to real-world challenges. Use the frameworks from this lesson to develop actionable recommendations.

Real-world problem solving

Use a structured approach: define the problem, identify constraints, generate options, evaluate, and recommend.

Community challenge

A neighborhood has a growing problem with package theft from doorsteps. Solutions tried so far (security cameras, signed delivery) have not reduced theft. The neighborhood association has a small budget. Develop a creative solution.

Workplace challenge

A team of 8 remote workers in 4 time zones needs to collaborate on a project with a 3-month deadline. Previous remote projects have suffered from miscommunication and duplicated work. Design a coordination strategy.

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Rapid Identification

Problem Solving

Timed Drill: Building a Structured Problem Map

For each scenario, quickly identify: (1) the core problem, (2) the main constraint, and (3) one feasible first step. Work fast but be specific.

Rapid problem decomposition

Decompose each problem in under 60 seconds. Identify the core issue, primary constraint, and a concrete first step.

Item 1

A food bank receives 30% more donations in December than it can store. Much of it spoils before distribution.

Item 2

A school bus route takes 90 minutes because it serves three neighborhoods in sequence. Parents are complaining about early pickup times.

Item 3

A non-profit website gets 10,000 visits per month but only 50 donations. The donation button is on a separate page from the stories.

Item 4

A clinic has a 3-week wait for appointments, but 20% of scheduled patients do not show up.

Item 5

A warehouse ships 500 orders daily but the error rate is 8%. Most errors involve wrong quantities rather than wrong items.

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Evaluation Practice

Problem Solving

Peer Review: Building a Structured Problem Map

Below are sample student solutions to problems. Evaluate each: Did they define the problem clearly? Did they consider constraints? Are their solutions feasible? What did they overlook?

Evaluate student problem solutions

Each student proposed a solution to a real-world problem. Assess their approach.

Student A's solution

Problem: A library wants to increase youth attendance. Student A wrote: 'Solution: Add a gaming lounge with consoles and high-speed internet. Young people love gaming, so this will bring them in. Cost estimate: $15,000 for equipment. Expected result: 50% increase in youth visits.'

Student B's solution

Problem: A rural clinic needs more doctors. Student B wrote: 'Offer student loan forgiveness for doctors who commit to 3 years. This addresses the financial barrier. However, the clinic budget is limited. We could partner with the state medical school for funding. Risk: doctors may leave after the commitment period.'

Student C's solution

Problem: Plastic waste in a coastal town. Student C wrote: 'Ban all single-use plastics immediately. This will eliminate the source of waste. Similar bans worked in other countries. Implementation: pass a local ordinance next month and begin enforcement.'

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Guided Problem Solving

Problem Solving

Construction Challenge: Building a Structured Problem Map

Design a complete solution from scratch. You are given only a problem statement. Build a structured response including problem definition, constraint analysis, solution generation, evaluation criteria, and an implementation plan.

Build complete solutions

For each challenge, construct a full problem-solving framework with explicit reasoning at every stage.

Task 1

A mid-sized city wants to reduce food waste by 50% within three years. Currently, 40% of food waste comes from restaurants, 35% from households, and 25% from grocery stores. Design a comprehensive solution addressing all three sources.

Task 2

A university wants to reduce cheating on online exams without making the exam experience stressful for honest students. Current proctoring software has a 15% false-positive rate. Design a better system.

Task 3

An island community of 5,000 people wants to become energy-independent within five years. They currently import all fuel by ship. The island has strong winds, moderate sunlight, and geothermal activity. Design an energy transition plan.

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Diagnosis Practice

Problem Solving

Counterexample Challenge: Building a Structured Problem Map

For each proposed solution, identify a realistic scenario where it would fail badly. Explain what assumption the solution makes that your counterexample violates.

Break the solution

Each solution seems reasonable. Find a realistic scenario where it fails and explain why.

Solution 1

Problem: Reducing traffic congestion. Proposed solution: Make public transit free. Find a scenario where this backfires or fails to reduce congestion.

Solution 2

Problem: Improving employee retention. Proposed solution: Increase salaries by 20%. Find a scenario where this does not solve the retention problem.

Solution 3

Problem: Reducing hospital readmissions. Proposed solution: Schedule follow-up appointments before patients are discharged. Find a scenario where this approach fails.

Solution 4

Problem: Reducing food waste in school cafeterias. Proposed solution: Let students choose their portion sizes. Find a scenario where this makes the problem worse.

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Guided Problem Solving

Problem Solving

Integration Exercise: Building a Structured Problem Map

These exercises combine structured problem-solving with formal reasoning, evidence evaluation, and explanatory analysis. Use every tool in your reasoning toolkit.

Cross-topic problem-solving exercises

Each problem requires structured problem-solving combined with other reasoning types.

Scenario 1

A city council must decide whether to invest in a new water treatment plant. Data: current system serves 50,000 people and is at 95% capacity. Population is growing at 2% annually. The new plant would cost $80 million. An alternative is to reduce per-capita usage through conservation programs. Apply problem-solving frameworks, use inductive projections for population growth, and construct a deductive argument for or against the investment.

Scenario 2

A tech company's AI model shows bias in hiring recommendations. The team must fix the bias without reducing the model's overall accuracy. Apply: (1) problem-solving to define constraints, (2) abductive reasoning to explain why the bias emerged, (3) deductive reasoning to determine what fairness criteria logically require.

Scenario 3

A school district must allocate a fixed budget between math tutoring and reading programs. Research shows both are effective but reading programs show stronger results for younger students while math tutoring benefits older students more. Use inductive evidence to evaluate program effectiveness, deductive reasoning to apply budget constraints, and problem-solving frameworks to design an optimal allocation.

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Diagnosis Practice

Problem Solving

Misconception Clinic: Building a Structured Problem Map

Each item presents a common misconception about problem-solving methodology. Identify the error, explain why it leads to poor solutions, and describe the correct approach.

Common problem-solving misconceptions

Diagnose and correct each misconception about structured problem-solving.

Misconception 1

A student says: 'The first step in problem-solving is to generate solutions. You should brainstorm answers immediately before the problem gets worse.'

Misconception 2

A student claims: 'A solution that worked in one context will always work in a similar context. Best practices are universal.'

Misconception 3

A student writes: 'The optimal solution is always the one that completely solves the problem. Partial solutions are failures.'

Misconception 4

A student argues: 'Constraints are always obstacles. The more constraints you have, the worse your solution will be.'

Misconception 5

A student says: 'Once you have found a working solution, there is no reason to look for alternatives. Efficiency means going with the first thing that works.'

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Guided Problem Solving

Problem Solving

Scaffolded Solution: Building a Structured Problem Map

Build a solution in stages. Each task walks you through a structured problem-solving process step by step. Complete each stage before moving to the next.

Step-by-step solution building

Work through each stage of the problem-solving process explicitly.

Scaffold 1

Problem: A community health clinic has a 40% no-show rate. Stage 1: Define the problem precisely -- what are the actual costs and impacts? Stage 2: Identify at least 4 constraints (budget, staff, technology, patient demographics). Stage 3: Generate 5 potential solutions. Stage 4: Evaluate each solution against your constraints. Stage 5: Design an implementation plan for your top solution.

Scaffold 2

Problem: A company's customer support response time is 48 hours, but the industry standard is 4 hours. Stage 1: Decompose the problem -- where does time go? Stage 2: Identify root causes (staffing, tools, processes, training). Stage 3: Generate solutions targeting each root cause. Stage 4: Evaluate trade-offs (cost vs. speed vs. quality). Stage 5: Propose a phased implementation plan.

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Guided Problem Solving

Problem Solving

Synthesis Review: Building a Structured Problem Map

These exercises combine all problem-solving skills: problem definition, constraint analysis, solution generation, evaluation, implementation planning, and risk assessment.

Comprehensive problem-solving review

Apply the full structured problem-solving process to each challenge.

Comprehensive 1

A mid-sized city (population 300,000) wants to become carbon-neutral by 2040. Current state: 50% of energy comes from natural gas, 30% from coal, 20% from renewables. Transportation is 90% fossil-fuel vehicles. The city's budget cannot increase, but state and federal grants are available. There are three coal-dependent neighborhoods where 15,000 jobs are at stake. Apply a complete problem-solving framework: define sub-problems, map constraints, generate solutions per sector, evaluate trade-offs, and create a phased 15-year plan.

Comprehensive 2

A regional hospital network (5 hospitals, 2,000 beds) must prepare for a potential surge of 3x normal patient volume while maintaining standard care. Constraints: cannot build new facilities in time, staff are already near burnout, supply chains are strained, and rural hospitals have fewer resources than urban ones. Design a comprehensive surge plan with prioritization criteria, resource allocation strategies, and contingency options.

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Animated Explainers

Step-by-step visual walkthroughs of key concepts. Click to start.

Read the explanation carefully before jumping to activities!

Riko

Further Support

Open these only if you need extra help or context

Mistakes to avoid before submitting
  • Confusing a broad aspiration with an executable next step.
  • Pretending a chosen strategy has no tradeoffs.
Where students usually go wrong

Listing options without comparing them.

Choosing a final answer without naming the next practical step.

Stopping at one candidate strategy instead of generating alternatives.