Calculated Weighted Scoring

Weighted Scoring Calculator: Optimize Your Decisions :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –light-gray: #e9ecef; –dark-gray: #6c757d; –border-radius: 8px; } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–background-color); color: var(–text-color); line-height: 1.6; margin: 0; padding: 0; display: flex; flex-direction: column; align-items: center; } .container { width: 100%; max-width: 1000px; margin: 20px auto; padding: 20px; background-color: #ffffff; border-radius: var(–border-radius); box-shadow: 0 4px 12px rgba(0, 0, 0, 0.08); } header { background-color: var(–primary-color); color: white; padding: 15px 0; text-align: center; width: 100%; margin-bottom: 20px; border-radius: var(–border-radius) var(–border-radius) 0 0; } header h1 { margin: 0; font-size: 2em; } h2, h3 { color: var(–primary-color); margin-top: 1.5em; margin-bottom: 0.8em; } .loan-calc-container { background-color: var(–light-gray); 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Weighted Scoring Calculator

Weighted Scoring Calculator

Input your criteria, assign weights, and score each option to determine the best choice.

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Your Weighted Score Analysis

Overall Weighted Score
0.00
This is the primary score, calculated by summing the weighted scores for each criterion. A higher score generally indicates a preferred option.
Total Score Weight
0%
Average Score Per Criterion
0.00
Number of Criteria
0
Weighted Score Comparison

What is Weighted Scoring?

Weighted scoring is a systematic decision-making methodology used to objectively evaluate and compare multiple options based on a set of predefined criteria. Each criterion is assigned a specific weight reflecting its importance, and each option is then scored against these criteria. The weighted scores are summed to produce a final score for each option, allowing for a clear, quantitative ranking. This technique is invaluable when faced with complex choices where simply looking at raw data might be misleading or insufficient. It helps to cut through subjective biases and align decisions with strategic priorities.

Who Should Use Weighted Scoring?

Anyone making important decisions involving trade-offs can benefit from weighted scoring. This includes:

  • Project Managers: Prioritizing projects based on strategic alignment, ROI, and resource requirements.
  • Product Teams: Ranking feature requests or product development initiatives.
  • Hiring Managers: Evaluating candidates based on skills, experience, and cultural fit.
  • Investors: Assessing investment opportunities based on risk, return, and market potential.
  • Individuals: Making personal decisions like choosing a new car, selecting a university, or even picking a vacation destination.

Common Misconceptions about Weighted Scoring

  • It's purely objective: While it aims for objectivity, the initial assignment of weights and scores still involves human judgment. The goal is to make this judgment transparent and consistent.
  • It always produces the "right" answer: The output is only as good as the inputs. Inaccurate weights or biased scoring will lead to skewed results.
  • It's overly complex: The core concept is straightforward, and calculators like this one simplify the process significantly.
  • It replaces intuition: Weighted scoring is a tool to augment, not replace, expert judgment and intuition. It provides a framework for informed decision-making.

Weighted Scoring Formula and Mathematical Explanation

The core of weighted scoring lies in multiplying the value or score of each criterion by its assigned weight, and then summing these products. This ensures that more important criteria have a greater impact on the final outcome.

The Formula

The general formula for calculating the weighted score for a single option is:

Overall Weighted Score = Σ (Scoreᵢ * Weightᵢ)

Where:

  • Σ represents the summation across all criteria.
  • Scoreᵢ is the score assigned to the i-th criterion for a specific option.
  • Weightᵢ is the assigned weight (often expressed as a percentage or decimal) for the i-th criterion.

Step-by-Step Derivation

  1. Identify Criteria: Define all the factors relevant to your decision.
  2. Assign Weights: Determine the relative importance of each criterion. The sum of all weights typically equals 1 (or 100%).
  3. Define Scoring Scale: Establish a consistent scale for scoring each option against each criterion (e.g., 1-5, 1-10).
  4. Score Options: Evaluate each option against each criterion using the defined scale.
  5. Calculate Weighted Scores: For each option, multiply the score for each criterion by that criterion's weight.
  6. Sum Weighted Scores: Add up the individual weighted scores for each criterion to get the total weighted score for the option.

Variable Explanations

In the context of this calculator, we focus on comparing multiple options (e.g., Option A, Option B). The process involves defining criteria, assigning weights to these criteria, and then scoring each option against these criteria.

Variables in Weighted Scoring
Variable Meaning Unit Typical Range
Criterion Name The specific factor being evaluated (e.g., Cost, Performance, Usability). Text N/A
Criterion Weight The relative importance assigned to a criterion. Determines its influence on the final score. Percentage (%) or Decimal (0-1) Typically 0% to 100% (summing to 100% for all criteria).
Option Name The name of the choice being evaluated (e.g., Project X, Candidate Y). Text N/A
Option Score (for a Criterion) The rating or score given to a specific option based on a particular criterion, using a defined scale. Numerical (e.g., 1-5, 1-10) Defined by the user (e.g., 1 to 10).
Weighted Score (per Criterion) The result of multiplying an Option's Score by the Criterion's Weight. Numerical (depends on score & weight units) Calculated
Overall Weighted Score The sum of all Weighted Scores for a given option across all criteria. Used for final comparison. Numerical Calculated

Practical Examples (Real-World Use Cases)

Example 1: Choosing a New Laptop

A student needs to buy a new laptop and has three options: Laptop A, Laptop B, and Laptop C. They identify three key criteria:

  • Price: Most important, but with diminishing returns (cheaper is better).
  • Performance: Crucial for demanding software.
  • Battery Life: Important for portability.

They assign weights and scores:

  • Criteria Weights: Price (40%), Performance (35%), Battery Life (25%). Total = 100%.
  • Scoring Scale: 1 (Poor) to 10 (Excellent).

Option Scores:

  • Laptop A: Price (7/10), Performance (8/10), Battery Life (6/10)
  • Laptop B: Price (5/10), Performance (9/10), Battery Life (9/10)
  • Laptop C: Price (9/10), Performance (6/10), Battery Life (7/10)

Calculations:

  • Laptop A: (7 * 40%) + (8 * 35%) + (6 * 25%) = 2.8 + 2.8 + 1.5 = 7.1
  • Laptop B: (5 * 40%) + (9 * 35%) + (9 * 25%) = 2.0 + 3.15 + 2.25 = 7.4
  • Laptop C: (9 * 40%) + (6 * 35%) + (7 * 25%) = 3.6 + 2.1 + 1.75 = 7.45

Interpretation: Laptop C has a slightly higher weighted score, suggesting it's the best fit despite being more expensive, due to its strong performance and decent battery life. Laptop B is a very close second. The decision might come down to nuances not captured or a slight adjustment in perceived value.

Example 2: Evaluating Software Vendors

A company is selecting a new Customer Relationship Management (CRM) software. They have narrowed it down to Vendor 1, Vendor 2, and Vendor 3. They define criteria and weights:

  • Cost: Significant factor.
  • Features: Must meet core requirements.
  • Ease of Use: Important for user adoption.
  • Customer Support: Crucial for issue resolution.
  • Integration Capabilities: Needs to work with existing systems.

Criteria Weights: Cost (20%), Features (30%), Ease of Use (15%), Support (15%), Integration (20%). Total = 100%.

Scoring Scale: 1 (Very Poor) to 5 (Excellent).

Option Scores:

  • Vendor 1: Cost (3/5), Features (4/5), Ease of Use (4/5), Support (3/5), Integration (4/5)
  • Vendor 2: Cost (4/5), Features (3/5), Ease of Use (3/5), Support (4/5), Integration (3/5)
  • Vendor 3: Cost (2/5), Features (5/5), Ease of Use (5/5), Support (5/5), Integration (5/5)

Calculations:

  • Vendor 1: (3 * 20%) + (4 * 30%) + (4 * 15%) + (3 * 15%) + (4 * 20%) = 0.6 + 1.2 + 0.6 + 0.45 + 0.8 = 3.65
  • Vendor 2: (4 * 20%) + (3 * 30%) + (3 * 15%) + (4 * 15%) + (3 * 20%) = 0.8 + 0.9 + 0.45 + 0.6 + 0.6 = 3.35
  • Vendor 3: (2 * 20%) + (5 * 30%) + (5 * 15%) + (5 * 15%) + (5 * 20%) = 0.4 + 1.5 + 0.75 + 0.75 + 1.0 = 4.40

Interpretation: Vendor 3 emerges as the top choice with a significantly higher weighted score, driven by its strengths in features, usability, support, and integration, despite being the most expensive. Vendor 1 is a viable alternative if cost is a primary concern over advanced features.

How to Use This Weighted Scoring Calculator

Our calculator simplifies the process of applying weighted scoring to your decisions. Follow these steps:

  1. Add Criteria: Click the "Add Criterion" button. Enter a descriptive name for each factor you want to consider (e.g., "Performance," "Cost," "User Satisfaction").
  2. Assign Weights: For each criterion, input its relative importance as a percentage. Ensure the total weight of all criteria sums up to 100%. The calculator will help track this total.
  3. Add Options: For each option you are evaluating (e.g., "Project Alpha," "Vendor X"), add a column or section to input scores.
  4. Score Each Option: For every option, assign a numerical score against each criterion using the defined scale (default is 1-10). Be as consistent and objective as possible.
  5. View Results: The calculator will automatically update the 'Weighted Score' for each option. The primary result highlighted is the overall weighted score. Intermediate values like total weight, average score, and number of criteria are also displayed.
  6. Interpret and Decide: Compare the overall weighted scores. The option with the highest score is typically the preferred choice based on your defined criteria and weights. Use the chart for a visual comparison.
  7. Copy Results: Use the "Copy Results" button to save or share your analysis.
  8. Reset: Click "Reset" to clear all inputs and start a new evaluation.

Reading the Results: The "Overall Weighted Score" is the most critical number. Higher scores indicate better alignment with your priorities. The intermediate values provide context about the structure of your scoring.

Decision-Making Guidance: Use the weighted score as a primary guide. However, also consider qualitative factors, potential risks, and strategic implications not perfectly captured by the scores. If two options have very close scores, re-examine the criteria and scores where they differ most significantly.

Key Factors That Affect Weighted Scoring Results

Several factors can significantly influence the outcome of a weighted scoring analysis:

  1. Criterion Weights: This is the most impactful factor. Over- or under-weighting a criterion can drastically alter the final scores and lead to a suboptimal decision. Ensure weights truly reflect strategic priorities.
  2. Scoring Scale Consistency: Using a clear, consistent scoring scale (e.g., 1-10) and applying it uniformly across all options and criteria is crucial. Ambiguity in scoring leads to unreliable results.
  3. Quality of Input Data/Scores: The accuracy of the scores assigned to each option against each criterion is fundamental. Biased scoring, lack of research, or personal preferences can undermine the process.
  4. Completeness of Criteria: Omitting important criteria means they have no influence on the outcome. Conversely, including too many minor criteria can dilute the impact of more important ones.
  5. Interdependencies Between Criteria: Standard weighted scoring assumes criteria are independent. In reality, factors might be correlated (e.g., higher performance often means higher cost). Advanced techniques can address this, but for basic use, acknowledge potential correlations.
  6. Subjectivity in Scoring: Despite the structured approach, assigning scores often involves subjective judgment. The transparency of the weights and scores helps mitigate, but doesn't eliminate, this subjectivity.
  7. Dynamic Nature of Priorities: Strategic priorities can shift over time. A set of weights valid today might need revision in the future. Regularly review and update your criteria and weights as circumstances change.
  8. External Factors (Market, Economy): While the calculator focuses on your defined inputs, external economic conditions, market trends, or regulatory changes can impact the real-world viability of an option, irrespective of its calculated score.

Frequently Asked Questions (FAQ)

What is the ideal scoring scale?
There isn't one single "ideal" scale. Common choices include 1-5 or 1-10. The key is consistency. A 1-10 scale offers more granularity than a 1-5 scale, but can sometimes lead to overuse of extreme values. Choose a scale that feels intuitive for your criteria and is applied consistently.
Must the weights add up to 100%?
Yes, it's standard practice for the weights to sum to 100% (or 1.0 if using decimals). This ensures that each criterion's contribution is relative to the total importance of all factors considered. If they don't add up to 100%, the interpretation of the final score becomes ambiguous.
What if a criterion is negative (e.g., cost)?
You can handle negative criteria in a few ways:
1. Invert the Scale: Score higher for lower costs (e.g., a $1000 option gets a 10, a $5000 option gets a 1).
2. Use Negative Scores: Define a scale centered around zero, or subtract scores from a maximum possible value.
3. Calculate Differentials: Score based on the difference from the best/worst option. The simplest approach for this calculator is to use an inverted scale where higher scores represent better outcomes (e.g., lower cost = higher score).
Can I use this for personal decisions?
Absolutely! Weighted scoring is excellent for personal choices like buying a car, choosing a house, or deciding on a vacation spot. It helps formalize trade-offs and ensures you're considering all important factors objectively.
How do I handle criteria that are hard to quantify (e.g., 'Company Culture Fit')?
This is where subjective judgment plays a role. Define clear, observable indicators for such criteria. For 'Company Culture Fit,' perhaps the indicators are 'Alignment with core values (score 1-5)' and 'Teamwork feedback (score 1-5)'. You can even create sub-criteria with their own weights to break down complex factors.
What happens if two options have the same weighted score?
If scores are identical or extremely close, it suggests the options are nearly equivalent based on your defined criteria and weights. In this case, you might:
1. Re-evaluate Scores: Look closer at the individual criterion scores.
2. Adjust Weights: Perhaps one criterion needs slightly more importance.
3. Consider Qualitative Factors: Look at non-quantifiable aspects or gut feelings.
4. Introduce a Tie-breaker Criterion: Add a new, decisive factor.
Is weighted scoring the same as AHP (Analytic Hierarchy Process)?
Weighted scoring is a simpler form of multi-criteria decision analysis. AHP is a more sophisticated method that uses pairwise comparisons to derive both weights and scores, allowing for the assessment of criterion independence and consistency. Weighted scoring is generally easier and faster to implement for straightforward decisions.
How often should I update my weights?
The frequency depends on the context. For strategic business decisions, review weights quarterly or annually, or whenever major shifts in market conditions or company goals occur. For personal decisions, review them if your priorities change significantly.

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var criteriaCount = 0; var criteriaData = []; // Stores { name: 'Criterion X', weight: 0 } function addCriterion() { criteriaCount++; var criterionName = 'Criterion ' + criteriaCount; var html = `
Enter the importance of this criterion (0-100%). Sum of all weights should be 100%.
`; document.getElementById('criteriaInputs').insertAdjacentHTML('beforeend', html); criteriaData.push({ id: criteriaCount, name: criterionName, weight: 0 }); updateWeights(); // Update total weight display } function removeCriterion(id) { var element = document.getElementById('criterion-' + id); if (element) { element.remove(); } criteriaData = criteriaData.filter(function(criterion) { return criterion.id !== id; }); updateWeights(); // Update total weight display updateResults(); // Recalculate results } function updateWeights() { var totalWeight = 0; var inputs = document.querySelectorAll('.criterion-item input[id^="criterionWeight-"]'); criteriaData.forEach(function(criterion) { var inputElement = document.getElementById('criterionWeight-' + criterion.id); var errorElement = document.getElementById('criterionWeightError-' + criterion.id); var weightValue = parseFloat(inputElement.value); errorElement.textContent = "; // Clear previous error if (isNaN(weightValue) || weightValue 100) { errorElement.textContent = 'Weight must be between 0 and 100.'; criterion.weight = 0; // Reset to 0 if invalid } else { criterion.weight = weightValue; totalWeight += weightValue; } }); var totalWeightElement = document.getElementById('totalWeightValue'); if (totalWeightElement) { totalWeightElement.textContent = totalWeight.toFixed(2) + '%'; } // Visual feedback for total weight var weightFeedbackElement = document.getElementById('weightFeedback'); if (!weightFeedbackElement) { weightFeedbackElement = document.createElement('div'); weightFeedbackElement.id = 'weightFeedback'; weightFeedbackElement.style.marginTop = '10px'; weightFeedbackElement.style.fontSize = '0.9em'; weightFeedbackElement.style.fontWeight = 'bold'; document.querySelector('.loan-calc-container > p').insertAdjacentElement('afterend', weightFeedbackElement); } if (Math.abs(totalWeight – 100) 0; }); var numCriteria = validCriteria.length; document.getElementById('numCriteriaValue').textContent = numCriteria; // Update criteria names in case they were changed validCriteria.forEach(function(criterion) { var nameInput = document.getElementById('criterionName-' + criterion.id); if (nameInput) { criterion.name = nameInput.value; } }); if (numCriteria === 0) { document.getElementById('results').style.display = 'none'; return; } var options = getOptions(); var optionScores = {}; // { optionName: { criterionName: score, … }, … } // Collect scores for all options options.forEach(function(option) { optionScores[option.name] = {}; validCriteria.forEach(function(criterion) { var scoreInput = document.getElementById('score-' + option.id + '-' + criterion.id); var scoreValue = parseFloat(scoreInput.value); var errorElement = document.getElementById('scoreError-' + option.id + '-' + criterion.id); errorElement.textContent = "; // Clear error if (isNaN(scoreValue) || scoreValue 10) { errorElement.textContent = 'Score must be between 1 and 10.'; optionScores[option.name][criterion.name] = 0; } else { optionScores[option.name][criterion.name] = scoreValue; } }); }); var finalScores = {}; var totalScoreSum = 0; var maxScore = 0; for (var optionName in optionScores) { var currentOptionScore = 0; var optionData = options.find(function(opt){ return opt.name === optionName; }); validCriteria.forEach(function(criterion) { var score = optionScores[optionName][criterion.name]; var weight = criterion.weight; currentOptionScore += score * (weight / 100); }); finalScores[optionName] = currentOptionScore; totalScoreSum += currentOptionScore; } var averageScore = numCriteria > 0 ? totalScoreSum / numCriteria : 0; // Determine the highest score for highlighting var highestScore = -Infinity; for (var optionName in finalScores) { if (finalScores[optionName] > highestScore) { highestScore = finalScores[optionName]; } } // Display results document.getElementById('results').style.display = 'block'; document.getElementById('averageScoreValue').textContent = averageScore.toFixed(2); // Update the main result with the highest score or a default if no valid options var mainResultDisplay = document.getElementById('mainResultValue'); if (highestScore !== -Infinity) { // Find which option achieved the highest score var winningOptionName = Object.keys(finalScores).find(key => finalScores[key] === highestScore); if (winningOptionName) { mainResultDisplay.textContent = highestScore.toFixed(2); mainResultDisplay.parentNode.querySelector('.result-label').textContent = 'Overall Weighted Score (' + winningOptionName + ')'; mainResultDisplay.parentNode.querySelector('.result-description').textContent = `The highest weighted score achieved by ${winningOptionName}, calculated by summing the weighted scores for each criterion.`; } else { mainResultDisplay.textContent = 'N/A'; mainResultDisplay.parentNode.querySelector('.result-label').textContent = 'Overall Weighted Score'; mainResultDisplay.parentNode.querySelector('.result-description').textContent = 'No options evaluated yet.'; } } else { mainResultDisplay.textContent = '0.00'; mainResultDisplay.parentNode.querySelector('.result-label').textContent = 'Overall Weighted Score'; mainResultDisplay.parentNode.querySelector('.result-description').textContent = 'No options evaluated yet or all scores invalid.'; } updateChart(options, validCriteria, finalScores); } function getOptions() { var optionElements = document.querySelectorAll('.option-item'); var options = []; optionElements.forEach(function(element, index) { var nameInput = element.querySelector('input[type="text"]'); options.push({ id: index + 1, // Assign a simple ID for now name: nameInput ? nameInput.value : 'Option ' + (index + 1) }); }); return options; } function addOption() { var options = getOptions(); var optionId = options.length + 1; var optionName = 'Option ' + optionId; var html = `
Name of the choice being evaluated.
`; document.getElementById('criteriaInputs').insertAdjacentHTML('beforeend', html); // Add score inputs for existing criteria var validCriteria = criteriaData.filter(function(c) { return c.weight > 0; }); validCriteria.forEach(function(criterion) { addScoreInputForCriterion(optionId, criterion); }); updateResults(); // Update potentially empty results } function removeOption(id) { var element = document.getElementById('option-' + id); if (element) { element.remove(); } updateResults(); // Recalculate results } function addScoreInputForCriterion(optionId, criterion) { var optionScoresContainer = document.getElementById('optionScores-' + optionId); if (!optionScoresContainer) return; var html = `
Score this option for ${criterion.name} (1-10).
`; optionScoresContainer.insertAdjacentHTML('beforeend', html); } // Initial setup – add first criterion and option placeholders function initializeCalculator() { addCriterion(); addOption(); // Add the first option row updateWeights(); // Ensure initial weight total is displayed } function resetCalculator() { document.getElementById('criteriaInputs').innerHTML = "; criteriaCount = 0; criteriaData = []; // Re-initialize initializeCalculator(); document.getElementById('results').style.display = 'none'; document.getElementById('copySuccess').style.opacity = '0'; // Clear canvas var canvas = document.getElementById('weightedScoreChart'); var ctx = canvas.getContext('2d'); ctx.clearRect(0, 0, canvas.width, canvas.height); } function copyResults() { var mainResultValue = document.getElementById('mainResultValue').innerText; var totalWeightValue = document.getElementById('totalWeightValue').innerText; var averageScoreValue = document.getElementById('averageScoreValue').innerText; var numCriteriaValue = document.getElementById('numCriteriaValue').innerText; var criteriaSummary = criteriaData.map(function(c) { return `- ${c.name}: ${c.weight.toFixed(2)}%`; }).join('\n'); var options = getOptions(); var finalScores = {}; var validCriteria = criteriaData.filter(function(c) { return c.weight > 0; }); options.forEach(function(option) { var currentOptionScore = 0; validCriteria.forEach(function(criterion) { var scoreInput = document.getElementById('score-' + option.id + '-' + criterion.id); var scoreValue = scoreInput ? parseFloat(scoreInput.value) : 0; currentOptionScore += scoreValue * (criterion.weight / 100); }); finalScores[option.name] = currentOptionScore.toFixed(2); }); var optionsSummary = Object.keys(finalScores).map(function(optionName) { var scoresString = []; var optionData = options.find(function(opt){ return opt.name === optionName; }); if(optionData) { validCriteria.forEach(function(criterion) { var scoreInput = document.getElementById('score-' + optionData.id + '-' + criterion.id); var scoreValue = scoreInput ? parseFloat(scoreInput.value) : 'N/A'; scoresString.push(`${criterion.name}: ${scoreValue}`); }); } return `${optionName}:\n Overall Score: ${finalScores[optionName]}\n Individual Scores:\n ${scoresString.join('\n ')}`; }).join('\n'); var textToCopy = `Weighted Scoring Analysis\n\n` + `Primary Result:\n` + `Overall Weighted Score (${document.getElementById('mainResultValue').parentNode.querySelector('.result-label').innerText.split('(')[0].trim()}): ${mainResultValue}\n\n` + `Key Intermediate Values:\n` + `Total Score Weight: ${totalWeightValue}\n` + `Average Score Per Criterion: ${averageScoreValue}\n` + `Number of Criteria: ${numCriteriaValue}\n\n` + `Criteria:\n${criteriaSummary}\n\n` + `Options Evaluation:\n${optionsSummary}\n\n` + `Analysis performed using Weighted Scoring Methodology.`; navigator.clipboard.writeText(textToCopy).then(function() { var successMessage = document.getElementById('copySuccess'); successMessage.style.opacity = '1'; setTimeout(function() { successMessage.style.opacity = '0'; }, 2000); }).catch(function(err) { console.error('Failed to copy text: ', err); // Fallback for older browsers or environments without clipboard API prompt("Copy this text manually:", textToCopy); }); } function updateChart(options, criteria, finalScores) { var canvas = document.getElementById('weightedScoreChart'); var ctx = canvas.getContext('2d'); canvas.width = canvas.offsetWidth; // Adjust canvas size to its container canvas.height = canvas.offsetHeight; // Clear previous chart ctx.clearRect(0, 0, canvas.width, canvas.height); if (options.length === 0 || criteria.length === 0) { ctx.font = '16px Arial'; ctx.fillStyle = 'gray'; ctx.textAlign = 'center'; ctx.fillText('Add options and criteria to see the chart.', canvas.width / 2, canvas.height / 2); return; } var barWidth = (canvas.width * 0.8) / options.length * 0.7; // 70% of available space for bars var gapWidth = (canvas.width * 0.8) / options.length * 0.3; // 30% for gaps var chartHeight = canvas.height * 0.7; var chartY = canvas.height * 0.9 – chartHeight; // Start drawing from bottom up var startX = canvas.width * 0.1; ctx.font = '14px Arial'; ctx.textAlign = 'center'; // Find max score for scaling var maxScore = 0; for (var optionName in finalScores) { if (finalScores[optionName] > maxScore) { maxScore = finalScores[optionName]; } } if (maxScore === 0) maxScore = 10; // Avoid division by zero // Draw bars options.forEach(function(option, index) { var score = finalScores[option.name] || 0; var barHeight = (score / maxScore) * chartHeight; var x = startX + index * (barWidth + gapWidth); // Bar color – use primary color for consistency ctx.fillStyle = getComputedStyle(document.documentElement).getPropertyValue('–primary-color'); ctx.fillRect(x, canvas.height – 10 – barHeight, barWidth, barHeight); // Draw from bottom // Option Name Label ctx.fillStyle = getComputedStyle(document.documentElement).getPropertyValue('–text-color'); ctx.fillText(option.name, x + barWidth / 2, canvas.height – 5); // Score Value Label (above bar) ctx.fillStyle = getComputedStyle(document.documentElement).getPropertyValue('–text-color'); ctx.fillText(score.toFixed(2), x + barWidth / 2, canvas.height – 15 – barHeight); }); // Draw Y-axis scale ctx.strokeStyle = getComputedStyle(document.documentElement).getPropertyValue('–dark-gray'); ctx.lineWidth = 1; ctx.beginPath(); ctx.moveTo(startX, canvas.height – 10); // X-axis line ctx.lineTo(startX + options.length * (barWidth + gapWidth) – gapWidth, canvas.height – 10); ctx.moveTo(startX, canvas.height – 10); // Y-axis line start ctx.lineTo(startX, chartY); ctx.stroke(); // Y-axis labels var numTicks = 5; for (var i = 0; i 0; }); // Ensure all options have score inputs for all criteria options.forEach(function(option) { var optionScoresContainer = document.getElementById('optionScores-' + option.id); if (!optionScoresContainer) return; // Should exist if option exists // Remove old score inputs to avoid duplication if criteria change var existingScoreInputs = optionScoresContainer.querySelectorAll('.score-input-group'); existingScoreInputs.forEach(function(input) { input.remove(); }); // Add new score inputs validCriteria.forEach(function(criterion) { addScoreInputForCriterion(option.id, criterion); }); }); } // Re-hook updateResults to also manage score inputs dynamically var originalUpdateResults = updateResults; updateResults = function() { setupScoreInputs(); // Ensure score inputs are up-to-date originalUpdateResults(); }; // Initial setup on page load window.onload = function() { initializeCalculator(); // Add button to dynamically add options var addOptionButton = document.createElement('button'); addOptionButton.className = 'btn btn-primary'; addOptionButton.textContent = 'Add Option'; addOptionButton.onclick = addOption; document.querySelector('.loan-calc-container .button-group').prepend(addOptionButton); // Initial chart draw with placeholder updateChart([], [], {}); };

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