Decision matrix

Open your materials, follow the steps, then turn in your work.

Use a weighted decision matrix to choose among competing prototype design options.

Before lab work: Read the safety rules below and wait for your teacher’s approval. You may read the directions while you wait.

1. Open your materials

Use the materials named in the first step below. Open lesson resources.

2. Start the work

List three candidate design options for your prototype.

Show all 5 required steps
  1. List three candidate design options for your prototype.
  2. Define four selection criteria such as cost, safety, feasibility, and effectiveness.
  3. Assign each criterion a weight that sums to 100 percent.
  4. Score each option against each criterion and compute weighted totals.
  5. Write a justification naming the winning option and the criterion that decided it.

Lost your place? Lost your place? Confirm you have three options (Step 1) and four criteria (Step 2). If your weights add to 100 percent (Step 3), start scoring each option and computing weighted totals in Step 4.

Check your work before submitting

  • You can build a weighted matrix with at least three options and four criteria.
  • You justified your choice using the matrix results.

Before lab work: read the safety rules

  • Wear the required PPE, keep the bench clear, handle equipment only as directed, and know where the eyewash, sink, and spill kit are before you start.
  • Human samples and data stay private: label with a code, never a name, and dispose of materials in the correct waste container, then wash your hands.

3. Turn in your work

DueCheck Schoology
Hand in
Weighted decision matrix with three options, four criteria, weights, scores, weighted totals, and a written justification.
How to submit and name your file

Use the submission route shown on today's page.

In Schoology, open your course and the assignment for this lesson. Attach your file, select Submit, and check that it appears in the submission.

PDF upload help

You get two school days for every day you were absent, so this deadline moves with you.

How this lesson connects

Keep using what you learned last class: You map what three sources already claim so that your prototype targets a gap they left open instead of repeating work that is already done. Today: You weight each criterion by how much it matters so that the winning option is chosen by an auditable score, not by whichever design you liked first.

Optional: listen or watch a unit review
Optional unit study notebook
Variables, controls, and the research model behind a sound scientific investigation.
Open the notebook
Optional review video
Audio overviewVideo overviewMind mapStudy guideFlashcardsQuizData table
Need help? Warm-up, timing, and directions

💡 Big idea: You weight each criterion by how much it matters so that the winning option is chosen by an auditable score, not by whichever design you liked first.

  1. 0-5 minWarm-up: name two criteria a medical device must meet before you'd use it
  2. 5-20 minList three design options and define four weighted criteria
  3. 20-45 minScore each option; compute and double-check weighted totals
  4. 45-60 minWrite justification: winning option and deciding criterion
  5. 60-72 minPeer check: swap matrices and verify weights sum to 100
  6. 72-80 minExit ticket: one sentence on why the lowest-scoring option was eliminated
Mr. Mendoza's 5-minute intro
  • Today we replace gut instinct with math by using a weighted .
  • You'll score three design options against criteria you set and then let the numbers guide you.
  • This is exactly how engineering teams avoid bias when choosing between prototypes.
  • By the end you'll have a justified design direction and a document to back it up.
Know by the end
  • Criteria weights reflect what matters most to users and stakeholders.
  • A weighted score lets you compare options with different strengths objectively.
  • Documenting the matrix is a Lab SOP practice: decisions need an auditable rationale.

PLTW connection and today's work

Open Problem 3 in your myPLTW course shell and navigate to the current activity, then build a weighted decision matrix to choose among your prototype design options.

Today's stopping point: The literature review is done; by end of today your weighted matrix with three options, four criteria, and a written justification should be submitted.

PLTW activity titles identify the course connection. If your account will not open, use the posted materials for today and tell Mr. Mendoza. Do not mark an online activity complete unless you completed it.

Course connection

  • Activity 3.1.2 Gathering the Facts

Use the turn-in directions at the top of this page. Do not create a second submission unless your teacher asks for one.

Show another explanation or a smaller first step

Need help? Choose a starting point

Run the lab
Build the full matrix: three options, four weighted criteria summing to 100 percent, compute weighted totals, and justify the winner naming the criterion that decided it.
Missed class? Start here
Missed the lab? Use the provided three-option template, fill in scores from your notes, and I will check that your weights sum to 100 percent before you compute totals for the async catch-up.

Finish the assigned lab safely before starting extra practice.

Lesson resources: reading, slides, and vocabulary
Socratic teaching slide deck

The deck carries the prior idea forward, lets you inspect an analogy, maps the rule to biology, and ends with the same evidence decision and exit ticket used on this page.

Generated from this lesson's canonical data with a red-team citation check.

Carry forward

You map what three sources already claim so that your prototype targets a gap they left open instead of repeating work that is already done.

Daily take-home

You weight each criterion by how much it matters so that the winning option is chosen by an auditable score, not by whichever design you liked first.

Inspect the analogy

A bridge prototype is tested against a load limit, cost limit, and user need before revision.

  1. Which requirement is a criterion?
  2. Which limit is a constraint?
  3. What test result should trigger a redesign?
Rule

A design improves when evidence is compared with explicit criteria and constraints.

Where it breaks

Biomedical designs also require , ethics, and biological validation beyond a physical prototype test.

Map the analogy to biology
  • Bridge requirements map to what the device must do for the body.
  • Load results map to the measurements taken from the prototype.
  • Revision maps to the change those measurements justify.
Read this first

Driving question: Your three prototype options each win on a different criterion. If matters more than cost, which option actually scores highest once you weight the numbers?

What you already know: You map what three sources already claim so that your prototype targets a gap they left open instead of repeating work that is already done.

New idea: You weight each criterion by how much it matters so that the winning option is chosen by an auditable score, not by whichever design you liked first.

Visual or model: F1. F1. A lesson illustration or teaching diagram for Decision matrix. Use it with E1-E3; it is a model or context image, not experimental or patient data. What to notice: Trace the labeled system, test, or design relationship and identify which evidence should trigger revision.

  1. Observe or measure the relevant feature in .
  2. Organize the observation with a stable evidence ID.
  3. Apply this rule: A design improves when evidence is compared with explicit criteria and constraints.
  4. Choose the option the evidence supports and state the limit of the conclusion.

Real biomedical example: Your three prototype options each win on a different criterion. If matters more than cost, which option actually scores highest once you weight the numbers?

What the evidence supports: E1-E3 and F1 support the daily take-home when the response meets the stated success criteria.

What it cannot prove: The package does not support claims beyond this lesson's or any real patient diagnosis.

Vocabulary:
  • : A careful summary and analysis of existing published research on a topic, used to find what is known and where gaps remain.
  • : The process where independent experts evaluate a research study for quality and accuracy before it is published.
  • : A scoring table that rates each option against the same set of criteria so the best choice can be picked with evidence rather than guesswork.
  • validation: Confirming through testing and evidence that a method, device, or result actually does what it claims and gives accurate, repeatable outcomes.
  • metric: A standard measurement used to track or compare something, such as growth rate, concentration, or survival, giving data a clear number.

Use it now: Choose one decision option. Cite E1 and E3, then explain how the rule connects the evidence to your choice.

Go further, optional: The source links below are optional enrichment. Every fact required for today's local evidence decision appears in this lesson package.

Evidence set and decision
E1 · Source fact

A biomedical design advances when test evidence is compared with explicit user needs, criteria, constraints, risks, and failure modes, then used to justify a documented revision.

Limit: A classroom prototype, , presentation, or does not establish clinical , effectiveness, manufacturing quality, or regulatory clearance.

E2 · Teaching model

A design improves when evidence is compared with explicit criteria and constraints.

Limit: Biomedical designs also require , ethics, and biological validation beyond a physical prototype test.

E3 · Task criterion

You can build a weighted matrix with at least three options and four criteria.

Limit: E3 defines the classroom product or success criterion. It is not independent scientific evidence and cannot justify a clinical or causal claim.

PLTW-BFH-2027-03-25 · Simulated classroom evidence scenario

Your role: biomedical design team member

Decision: Your team must decide what the evidence from supports before submitting the labeled and result claim named on today's page.

  • Multiply each score by its criterion weight and choose the highest weighted total, so outranks cost as intended.
  • Pick the option that scored best on the most criteria, since winning more categories means it is the stronger design.
  • Ask whether each score came from a real test or a team guess, since the weighted total inherits either one.

Response: State one choice, cite at least two evidence IDs, explain the rule that connects them, and add one limitation. Submit it as the labeled and result claim.

Claim ceiling: Today's evidence supports a classroom claim about . It cannot prove causation, diagnose a real patient, or justify action outside this room.

Composite case file · PLTW-BFH-2027-03-25

Reason for review: Your team must decide what the evidence from supports before submitting the labeled and result claim named on today's page.

Context: A weighted makes tradeoffs visible and turns a gut choice into a defensible one, so anyone can audit why one design won.

Timeline:
  • T1: List three candidate design options for your prototype.
  • T2: Define four selection criteria such as cost, , feasibility, and effectiveness.
  • T3: Assign each criterion a weight that sums to 100 percent.
  • T4: Score each option against each criterion and compute weighted totals.
  • T5: Write a justification naming the winning option and the criterion that decided it.
Evidence records:
  • E1: A biomedical design advances when test evidence is compared with explicit user needs, criteria, constraints, risks, and failure modes, then used to justify a documented revision.
  • E2: A design improves when evidence is compared with explicit criteria and constraints.
  • E3: You can build a weighted matrix with at least three options and four criteria.

Measurements: Use only the measurements, units, graph, or counts supplied in today's task. No additional patient measurement is implied.

Figure finding: Teaching diagram for . Trace the labeled system, test, or design relationship and identify which evidence should trigger revision. This is a teaching model, not patient or experimental data.

Uncertainty: This is a composite classroom scenario. Missing history, measurements, or confirmation tests remain unknown and limit the conclusion.

Math moment
Formula or setup

Rate or percent = part / comparison total x 100%. Percent change = (new - comparison) / comparison x 100%.

Worked parallel example

If 18 of 60 records meet a condition, the frequency is 18 / 60 x 100% = 30%.

Units and reasonableness

Name the comparison total. A percent describes the supplied group and does not automatically predict an individual's outcome.

Try it with today's data

Use today's supplied counts to calculate one rate, risk, frequency, or percent change. Show the denominator and interpretation.

Design record
Criteria
  • The solution must address the stated need in .
  • The decision must be supported by E1-E3.
  • The final product must make the success criteria visible.
Constraints
  • Complete the work inside the 80-minute block.
  • Use only supplied or teacher-approved materials and evidence.
  • Do not trade , accessibility, or privacy for speed.
Tradeoff weights
  • and evidence quality: must pass before scoring other criteria.
  • User need and effectiveness: highest scored criterion.
  • Time, cost, and ease of use: compare only after and effectiveness pass.

Test evidence: For each option, record the E1-E3 result that supports or fails each criterion. Do not assign a score without a named observation.

Iteration log
  1. Version or option tested
  2. Criterion met or missed
  3. Evidence ID and result
  4. Revision made
  5. Reason for the revision
Decision record
  1. Need and user
  2. Criteria and constraints
  3. Chosen option and evidence
  4. Test result
  5. Revision and reason
Watch the trap

Students often think Students often think the option with the most high scores automatically wins, so they just count how many criteria each option is best at.. The trap: Counting best scores ignores the weights, and weights are the whole point. The trap is treating a 9 on a criterion worth 10 percent the same as a 9 on a criterion worth 50 percent. A weak option can win on unweighted counts and lose the moment you multiply by what actually matters.

Worked example · a parallel case (guides, does not reveal)
Non-answer evidence and reasoning scaffold
Completes: A blank structure for organizing the assigned response. It contains no claim, ranking, calculation, data interpretation, or recommendation from today's task.

1. Decision or claim I am testing: ____

2. Evidence ID and exact observation: ____

3. Second evidence ID and exact observation: ____

4. Rule that connects the evidence to my claim: ____

5. Strongest alternative or tradeoff: ____

6. Limitation or missing evidence that controls my confidence: ____

7. Revision I would make if the missing evidence changed: ____

Criterion (weight)A pillboxB appC clock
Cost (25)324
Safety (20)555
Feasibility (25)435
Effectiveness (30)453
Weighted total395375415
Weighted decision matrix: option C clock wins with weighted total 415, A pillbox 395, B app 375.
Why this matters

This model shows the level of evidence and organization needed to complete: A blank structure for organizing the assigned response. It contains no claim, ranking, calculation, data interpretation, or recommendation from today's task.

Build yours step by step
  1. Name the variables and include units.
  2. Enter observations without changing the raw values.
  3. Check labels, calculations, and patterns before interpreting the data.
Change it for a new task

Keep the structure. Replace the question, facts, measurements, and evidence. Then recheck units, vocabulary, and whether the conclusion goes beyond the evidence.

Also due today: Submit the matrix and justification on Schoology by end of class.

See the full worked example
Portal terms
CER:
Claim, Evidence, Reasoning: make a claim, back it with evidence, explain your reasoning.
SOP:
Standard Operating Procedure, the exact steps to follow (especially in a lab).
Tracker:
Your PLTW progress log where you record completed evidence.
myPLTW:
The PLTW course site where you do the online activities. Find it in Clever with your Microsoft sign-in, right next to Schoology.
This unit's vocabulary

Tap the speaker to hear a term. Add two of these to your notebook glossary with a definition and an example in your own words.

Build your vocabulary · optional, for extra credit

Pick just 2 or 3 words from today and make them yours: write what each one means in your own words, name the context clue or evidence that helped, then give one example from what you actually did in Decision matrix. Try your own words first; the glossary is there if you get stuck. This is voluntary and counts as extra credit, so keep it short.

literature review
peer review
decision matrix
validation
metric

Saved on this device. Show Mr. Mendoza or add these to your notebook glossary to claim the extra credit.

Teacher-posted resources

Classroom documents for this lesson are posted in Schoology. Open Clever, then Schoology, and find each one by the name shown on its card.

Catch-up / reteachFor: Need extra support
BI Semester Final Skills-Based Assessment Report
worksheet/handoutPosted in Schoology
Open in Schoology

Use this if you were absent, got stuck, or need another pass before you submit the lesson artifact.

Placement rationale

Matched Prototype validation and evidence audit by path:Biomedical-Innovations/Problem-3_Medical-Innovation/3.1_Medical-Innovation; keywords:rubric. Score 134. Visibility: student-schoology (student-facing resource; link through Schoology rather than local path).

Catch-up / reteachFor: Need extra support
Biomedical Innovation rubric (ALT 1)
worksheet/handoutPosted in Schoology
Open in Schoology

Use this if you were absent, got stuck, or need another pass before you submit the lesson artifact.

Placement rationale

Matched Prototype validation and evidence audit by path:Biomedical-Innovations/Problem-3_Medical-Innovation/3.1_Medical-Innovation; keywords:rubric. Score 130. Visibility: student-schoology (student-facing resource; link through Schoology rather than local path).

Use during lessonFor: Everyone
BI Project 2.1.1 Scientific Research Student Activity
worksheet/handoutPosted in Schoology
Open in Schoology

Open this when the class reaches this activity and use it to complete the required lesson artifact.

Placement rationale

Matched Prototype validation and evidence audit by path:Biomedical-Innovations/Problem-2_Human-Physiology/2.1_Human-Physiology. Score 126. Visibility: student-schoology (student-facing resource; link through Schoology rather than local path).

Sign in to Clever with your district Microsoft account to open Schoology or myPLTW. Follow today's posted steps. If myPLTW will not open, use the posted alternative and tell Mr. Mendoza. Turn in your completed work through the Schoology assignment.

Practice: try a question, then check your answer

Claim ceiling for this check: Today's evidence supports a classroom claim about . It cannot prove causation, diagnose a real patient, or justify action outside this room.

Quick self-check · commit, then reveal

Option A scores 8 on cost (weight 20 percent) and 4 on safety (weight 60 percent). Option B scores 4 on cost and 8 on safety, with the same weights. Which option has the higher weighted total, and why?

How sure are you?

Write an answer and pick a confidence to unlock the key.

Cumulative WebXam review · flash practice

Fast retrieval with instant answers, not the commit-then-reveal check above. Try each from memory first: write what you remember about the earlier units, then check yourself here.

Tap an answer to check it · nothing is recorded or graded
[Review: Pitch and revise: evidence-based feedback and intro to study design] Experimental results fall significantly outside the expected range. What should you do first?
[Review: Reading the body's data: study types, sample size, and the t-test] What is the purpose of an experiment measuring blood glucose after giving a drug or a placebo?
[Review: Making the call: bias, error, graph choice, and a CER conclusion] An SDS lists a corrosive pictogram and the statement “causes severe skin burns,” but the PPE section says no gloves are required. Why is this incorrect?
After an experiment shows a new drug lowers cholesterol better than the placebo, what is the required next step before any commercial action?
Missed class or ready for more?
🔬 Pre-lab simulations · 2 for this lesson

Run this before you touch the bench. It is built from the real lab procedure, so the decisions you make here are the ones you will make with the equipment in your hands. This lesson has more than one, and they cover different skills.

Bioprinting a Scaffold
Open the simulation →
Design and Test: Prototyping
Open the simulation →
Lab · prepare, conduct, complete
1Prepare
Pre-lab pass · clear all six to go to the bench
0/6

I can name the procedure's purpose and the evidence I will record. I can state today's specific hazards and the control for each. If this deck does not name them, I ask Mr. Mendoza before I touch anything. My data table is ready before materials are handled.

Finish the checklist before you handle any material.

Bring / set up
Design notebookPrototype materials or modelDecision matrix templateRuler or measuring toolStopwatch or timerData recording sheetCalculator
Safety · specific to today's hazards
  • Wear the required PPE, keep the bench clear, handle equipment only as directed, and know where the eyewash, sink, and spill kit are before you start.
  • Human samples and data stay private: label with a code, never a name, and dispose of materials in the correct waste container, then wash your hands.
Review Lab Safety (rules, PPE, SDS, emergencies) and check your contract + test
2Conduct (Argument-Driven Inquiry)
  1. 1Before materials are handled, identify the purpose, variables or comparison, controls, measurement units, and stop-work condition.
  2. 2List three candidate design options for your prototype.
  3. 3Define four selection criteria such as cost, safety, feasibility, and effectiveness.
  4. 4Assign each criterion a weight that sums to 100 percent.
  5. 5Score each option against each criterion and compute weighted totals.
  6. 6Write a justification naming the winning option and the criterion that decided it.
  7. 7Record each result in the prepared table before interpreting it. Mark missing, repeated, or invalid results truthfully.
  8. 8Complete the named cleanup and waste route, remove PPE safely, wash hands when required, and confirm the station is ready for the next group.
Prepare this data table before materials are handled
Trial or sample IDIndependent conditionMeasured result with unitsObservation before interpretationQuality-control note
     
     
     
Khan Academy: scientific method and experiment design
3Complete
Argue from your evidence, then compare what you predicted to what happened. Error analysis names a specific method limit, never "human error".
You predicted

Before the procedure, predict the result and cite the rule behind the prediction.

What actually happened

After the procedure, compare the result with the prediction and name one limitation or source of uncertainty.

Your lab report is graded on the rubric below, with extra weight on error analysis and method.
Where this leads: careers
What to do if you were absent
If YOU are absent

Today is individual work you can do from home: complete the same target above, then submit your Data table.

FOR A GRADE
Open Schoology

Go to Schoology to turn this in. Submit one PDF. Put your first and last name in the document header. Name the file: FirstName LastName - Assignment Title - YYYY-MM-DD.pdf. If you cannot get in, see Mr. Mendoza. Do not skip the work.

If MR. MENDOZA is absent

Class still runs. Complete the online activity above (it's self-guided). Need the concept taught without a teacher? Use this authoritative explainer:

Khan Academy: scientific method and experiment design
Optional extra credit (async)

You've passed Unit 2, so the optional extra-credit track is open. Complete reserved-unit work from home, including virtual labs, for extra credit. Each item shows its correct submission route.

Open the extra-credit track
How this is graded
For: Data table: Weighted decision matrix with three options, four criteria, weights, scores, weighted totals, and a written justification.
  • Complete
    Every required part of the artifact is present, nothing left blank.
  • Accurate
    The science and the data are correct and match the evidence.
  • Scientific reasoning
    You explain your claim with evidence and reasoning (CER), not just an answer.
  • Professional communication
    Clear, organized, labeled, and written the way a clinician or scientist would.
  • Submitted
    Go to Schoology to turn this in. Submit one PDF. Put your first and last name in the document header. Name the file: FirstName LastName - Assignment Title - YYYY-MM-DD.pdf. If you cannot get in, see Mr. Mendoza. Do not skip the work.
  • Error analysis and method · counts double
    Name a specific limit of the method and how it moved your result, and compare what you predicted to what happened. "Human error" does not count; say what about the procedure or instrument caused it.