Calculate your team's HR capacity and allocate blocks efficiently.
HR and Block Allocation Calculator
Standard work week hours.
Total number of individuals contributing to blocks.
The length of a single block in weeks.
Percentage of time resources are expected to be productive on blocks (accounts for meetings, admin, etc.).
The total number of distinct blocks you need to assign.
Calculation Results
—
Total Available Capacity (Hours per Block): —
Capacity Per Block Per Resource (Hours): —
Total Hours for All Blocks: —
Formula Explanation:
The core calculation determines the total productive hours available from the team over the duration of a single block, considering utilization factors. This is then used to understand the capacity available for each block. The total capacity across all blocks is also calculated.
Total Available Capacity = (Total Hours Per Week Per Person * Number of Resources * Block Duration) * Block Capacity Factor
Capacity Per Block Per Resource = Total Available Capacity / Number of Blocks
Block Allocation Summary
Block #
Assigned Resource(s)
Allocated Hours
Utilization Factor
Resource Allocation vs. Capacity
HR Hours AllocatedBlock Capacity
What is an HR and Block Calculator?
An HR and Block Calculator is a specialized tool designed to help project managers, team leads, and HR professionals quantify and allocate human resources effectively across various project blocks or phases. In essence, it helps answer critical questions like: "How many hours can my team realistically dedicate to a specific task or project block?" and "How should we distribute this capacity across multiple blocks or initiatives?" This calculator bridges the gap between available workforce hours and the demands of project work, ensuring realistic planning and preventing resource over-allocation or under-utilization. Understanding your team's true capacity is fundamental to successful project planning and delivery.
Who Should Use It?
This calculator is invaluable for a wide range of professionals involved in resource management and project execution:
Project Managers: To accurately forecast resource needs, set realistic timelines, and manage project scope.
Team Leads: To understand the workload capacity of their team members and ensure equitable distribution.
Resource Managers: To optimize the allocation of personnel across different projects and tasks.
HR Departments: To forecast hiring needs and understand the overall capacity of the workforce.
Department Heads: To plan departmental objectives and ensure resources are aligned with strategic goals.
Common Misconceptions
Several common misconceptions can lead to poor resource planning:
100% Utilization is Ideal: Many believe maximizing employee hours is always the best approach. However, this often leads to burnout, reduced quality, and a lack of flexibility for unexpected tasks. A realistic block capacity factor (e.g., 70-80%) is crucial.
All Hours Are Productive: It's often assumed that all logged working hours are directly contributing to project deliverables. In reality, administrative tasks, meetings, training, and unexpected interruptions consume a significant portion of a resource's time.
Static Resource Pools: Assuming the team size and availability remain constant throughout a project lifecycle can be detrimental. This calculator helps model available capacity at a given point, but long-term planning requires considering changes in team composition and availability.
HR and Block Calculator Formula and Mathematical Explanation
The HR and Block Calculator operates on a straightforward principle: determining the total available productive hours from a team and then distributing or analyzing that capacity against project requirements (blocks).
Step-by-Step Derivation
Calculate Total Available Hours (Gross): First, we determine the total number of hours the team could potentially work. This is the number of resources multiplied by the standard hours each resource works per week, and then by the duration of the block in weeks.
Gross Weekly Hours = Number of Resources * Total Hours Per Week Per Person Gross Block Hours = Gross Weekly Hours * Block Duration (Weeks)
Apply Block Capacity Factor: Not all gross hours are spent on dedicated block work. We apply a "Block Capacity Factor" to account for non-block activities like meetings, administrative tasks, training, and unavoidable context switching. This factor represents the percentage of time resources are expected to be productively engaged on the assigned blocks.
Net Available Hours (Total Capacity) = Gross Block Hours * Block Capacity Factor
Calculate Capacity Per Block Per Resource: To understand how much each individual block can absorb, we divide the total net available hours by the number of blocks. This gives an average productive hour allocation per block across the entire team.
Capacity Per Block Per Resource = Net Available Hours (Total Capacity) / Number of Blocks
Variable Explanations
The inputs and intermediate values used in the calculation represent key aspects of resource management:
Variable
Meaning
Unit
Typical Range
Total Available Hours Per Person Per Week
The standard number of hours one individual works in a week.
Hours/Week/Person
35-45 Hours/Week/Person
Number of Resources
The total count of team members contributing to the project blocks.
People
1+ People
Block Duration (Weeks)
The time span in weeks that a single project block is expected to last.
Weeks
1-12 Weeks
Block Capacity Factor
The estimated percentage of time a resource is productively available for block-related work.
Decimal (0-1)
0.60 – 0.90 (e.g., 0.80 for 80%)
Number of Blocks
The total number of distinct project phases or tasks requiring resource allocation.
Count
1+ Blocks
Total Available Capacity (Primary Result)
The total net productive hours the team can dedicate across all specified blocks.
Hours
Varies greatly
Total Available Capacity (Hours per Block)
The net productive hours available from the team for a single block, after considering all blocks.
Hours/Block
Varies greatly
Capacity Per Block Per Resource
The average productive hours each resource can contribute to a single block.
Hours/Resource/Block
Varies greatly
Practical Examples (Real-World Use Cases)
Example 1: Software Development Sprint Planning
A software team of 6 developers is planning their next sprint, which is structured into 5 distinct feature blocks. Each developer works a standard 40-hour week. They estimate that due to internal meetings, code reviews, and administrative tasks, only about 75% of their time can be dedicated to active feature development (Block Capacity Factor = 0.75). The sprint is 2 weeks long (Block Duration = 2).
Total Available Capacity = 480 hours * 0.75 = 360 hours
Capacity Per Block Per Resource = 360 hours / 5 blocks = 72 hours per block
Interpretation: The team has a total of 360 productive hours to distribute across the 5 feature blocks for this 2-week sprint. Each block can realistically absorb about 72 hours of development effort. This helps the project manager ensure that the scope of the 5 blocks is realistic for the team's capacity.
Example 2: Marketing Campaign Phases
A marketing department has 4 members. They are planning a campaign with 3 distinct phases (blocks), each lasting 3 weeks. Standard work week is 38 hours. They estimate a 85% capacity factor due to client calls, strategy meetings, and internal syncs (Block Capacity Factor = 0.85).
Total Available Capacity = 456 hours * 0.85 = 387.6 hours
Capacity Per Block Per Resource = 387.6 hours / 3 blocks = 129.2 hours per block
Interpretation: The marketing team has approximately 387.6 productive hours available for this campaign. Each of the 3 phases can expect to receive about 129.2 hours of focused effort. This allows the marketing manager to allocate tasks within each phase realistically, ensuring that the workload is manageable and aligned with the team's actual availability.
How to Use This HR and Block Calculator
Using the HR and Block Calculator is straightforward. Follow these simple steps to get accurate insights into your team's capacity:
Input Available Hours: Enter the standard number of hours each team member works per week (e.g., 40 for a full-time employee).
Specify Number of Resources: Input the total number of individuals who will be contributing to the project blocks.
Define Block Duration: Enter the planned duration, in weeks, for a single project block or phase.
Set Block Capacity Factor: This is a crucial input. Estimate the percentage of time your team can realistically dedicate to block-specific work, accounting for meetings, administrative duties, and other non-block tasks. A value of 0.80 means you expect 80% of their time to be spent on block work.
Enter Number of Blocks: Specify the total number of distinct project blocks or phases you need to plan for.
Click 'Calculate': Press the "Calculate" button to see the results.
How to Read Results
Primary Result (Total Available Capacity): This is the most important figure. It represents the total pool of productive hours your team can contribute across *all* the blocks you've defined over their respective durations.
Total Available Capacity (Hours per Block): This shows the average amount of productive hours available for *each individual block*.
Capacity Per Block Per Resource: This indicates the average productive hours each team member can contribute to a *single block*.
Table and Chart: These provide a visual breakdown and a sample allocation scenario. The table can be used to manually assign resources to blocks and track their allocated hours against the calculated capacity. The chart visualizes the team's total block capacity against the allocated hours for each block.
Decision-Making Guidance
Use the results to:
Scope Management: Ensure the work planned within each block does not exceed the calculated capacity. If it does, you may need to descope, extend the duration, or add more resources.
Resource Allocation: Distribute the "Capacity Per Block Per Resource" across your team members and blocks, ensuring no single individual is over-allocated.
Realistic Timelines: Set achievable deadlines based on the calculated capacity.
Identify Bottlenecks: If a block requires significantly more hours than others, it might become a bottleneck.
Remember to use the 'Reset' button to clear inputs and start fresh, and 'Copy Results' to save or share your findings.
Key Factors That Affect HR and Block Results
Several factors significantly influence the accuracy and outcome of an HR and Block Calculator. Understanding these is key to effective resource planning:
Block Capacity Factor Accuracy: This is perhaps the most subjective but critical input. Overestimating this factor (e.g., assuming 90% utilization) leads to unrealistic plans and potential burnout. Underestimating it might lead to hoarding resources or missing opportunities. Factors like meeting frequency, project complexity, and team maturity impact this.
Team Member Skill Mix and Experience: A team with diverse skills might require more coordination but can handle varied tasks. Less experienced members might need more time or support, effectively reducing their productive capacity for complex blocks. This calculator assumes a homogeneous capacity, so adjustments might be needed for mixed-skill teams.
Project Complexity and Unforeseen Issues: Highly complex blocks or projects prone to unexpected challenges (technical hurdles, scope creep) will consume more time than initially planned, deviating from the assumed capacity factor. Agile methodologies build in buffers for this, but extreme complexity requires careful estimation.
Resource Availability Fluctuations: The calculator assumes consistent availability. However, team members may take leave (vacation, sick days), transition between projects, or have other commitments that reduce their available hours. These should be factored into long-term planning beyond this calculator's scope.
Tools and Processes Efficiency: The efficiency of the tools used (e.g., project management software, communication platforms) and the established processes (e.g., Agile ceremonies, reporting structures) can impact how much time is spent on productive work versus overhead. Streamlined processes can increase the effective capacity factor.
Dependencies and External Factors: Blocks that rely on external teams, third-party vendors, or specific approvals can experience delays. These external dependencies can indirectly affect the perceived capacity for a block, as resources might be waiting for input rather than actively working.
Team Morale and Motivation: While not a direct input, a motivated and engaged team often works more efficiently and effectively, potentially exceeding the assumed capacity factor. Conversely, low morale can lead to decreased productivity.
Frequently Asked Questions (FAQ)
Q1: What is the 'Block Capacity Factor' and why is it important?
The Block Capacity Factor represents the percentage of a team member's total working hours that are realistically available for dedicated work on specific project blocks. It's crucial because it accounts for non-billable or non-block-specific activities like meetings, administrative tasks, training, and context switching. Using a factor less than 1 (e.g., 0.80 for 80%) provides a more accurate and sustainable estimate of productive capacity, preventing over-commitment and burnout.
Q2: Can I use this calculator for individual task estimation?
While the calculator provides capacity per block, it's primarily designed for estimating capacity at a higher level (blocks or phases). For granular individual task estimation within a block, you would typically break down the 'Capacity Per Block Per Resource' further based on the specific tasks involved and the skills required.
Q3: How do I handle projects with varying block durations?
This calculator assumes a single, uniform duration for all blocks entered. For projects with significantly different block durations, you would need to run the calculator separately for each block type or use a more advanced project management tool that can handle variable durations within a single plan.
Q4: What if my team has part-time members?
You can accommodate part-time members by adjusting the 'Total Available Hours Per Person Per Week' input to reflect their actual working hours. For example, a half-time employee might be entered with 20 hours instead of 40.
Q5: Does the calculator account for holidays or planned leave?
No, this specific calculator does not automatically account for holidays or planned leave. It calculates theoretical capacity based on standard work weeks. For accurate project scheduling, you should manually adjust the 'Number of Resources' or reduce the 'Block Duration' to account for planned time off during the relevant periods.
Q6: How often should I update the Block Capacity Factor?
The Block Capacity Factor should be reviewed and potentially updated regularly, perhaps quarterly or at the start of major new projects. It can change based on the team's current workload distribution, the introduction of new processes, or shifts in project types. Regularly assessing this factor ensures your capacity calculations remain relevant and realistic.
Q7: What does it mean if my calculated capacity per block is very low?
A low capacity per block could indicate several things: a small team size, a short block duration with many blocks, a very low capacity factor (meaning significant overhead), or a combination of these. It suggests that the planned number of blocks or the scope within each block might be too ambitious for the available resources. You may need to reassess the number of blocks, extend timelines, or increase the team size.
Q8: Can this calculator help with Agile sprint point estimation?
Indirectly, yes. While it doesn't calculate "story points," it provides the total available hours per block (e.g., a sprint). If you know the average productive hours per story point for your team (which can be derived from past sprints), you can use the total available hours to estimate the maximum number of story points your team can commit to in a given block or sprint.
Visualize key HR indicators, including workforce capacity and utilization.
// Global variables for chart data
var allocationChartInstance = null;
var chartColors = ['#007bff', '#fd7e14']; // Blue for HR, Orange for Block
function calculateHRBlocks() {
// Clear previous error messages
document.getElementById('totalHoursPerWeekError').textContent = ";
document.getElementById('numberOfResourcesError').textContent = ";
document.getElementById('blockDurationWeeksError').textContent = ";
document.getElementById('blockCapacityFactorError').textContent = ";
document.getElementById('numberOfBlocksError').textContent = ";
// Get input values
var totalHoursPerWeek = parseFloat(document.getElementById('totalHoursPerWeek').value);
var numberOfResources = parseInt(document.getElementById('numberOfResources').value);
var blockDurationWeeks = parseInt(document.getElementById('blockDurationWeeks').value);
var blockCapacityFactor = parseFloat(document.getElementById('blockCapacityFactor').value);
var numberOfBlocks = parseInt(document.getElementById('numberOfBlocks').value);
// Validate inputs
var isValid = true;
if (isNaN(totalHoursPerWeek) || totalHoursPerWeek <= 0) {
document.getElementById('totalHoursPerWeekError').textContent = 'Please enter a valid number of hours per week.';
isValid = false;
}
if (isNaN(numberOfResources) || numberOfResources <= 0) {
document.getElementById('numberOfResourcesError').textContent = 'Please enter a valid number of resources.';
isValid = false;
}
if (isNaN(blockDurationWeeks) || blockDurationWeeks <= 0) {
document.getElementById('blockDurationWeeksError').textContent = 'Please enter a valid block duration in weeks.';
isValid = false;
}
if (isNaN(blockCapacityFactor) || blockCapacityFactor 1) {
document.getElementById('blockCapacityFactorError').textContent = 'Block capacity factor must be between 0 and 1.';
isValid = false;
}
if (isNaN(numberOfBlocks) || numberOfBlocks <= 0) {
document.getElementById('numberOfBlocksError').textContent = 'Please enter a valid number of blocks.';
isValid = false;
}
if (!isValid) {
return; // Stop calculation if any input is invalid
}
// — Calculations —
// 1. Gross Hours per Block
var grossBlockHours = totalHoursPerWeek * numberOfResources * blockDurationWeeks;
// 2. Total Available Capacity (Net Hours for all blocks)
var totalAvailableCapacity = grossBlockHours * blockCapacityFactor;
// 3. Capacity Per Block Per Resource (Average hours per block)
var capacityPerBlockPerResource = totalAvailableCapacity / numberOfBlocks;
// — Display Results —
document.getElementById('primaryResult').textContent = totalAvailableCapacity.toFixed(2) + ' Hours';
document.getElementById('totalAvailableCapacity').textContent = totalAvailableCapacity.toFixed(2) + ' Hours';
document.getElementById('capacityPerBlockPerResource').textContent = capacityPerBlockPerResource.toFixed(2) + ' Hours';
// Intermediate calculation: Total hours for all blocks is the primary result itself in this model.
// Let's clarify the third intermediate value as total hours dedicated across *all* blocks.
// If the interpretation is *hours per block*, then it's `totalAvailableCapacity / numberOfBlocks`.
// Based on the prompt, "Total Hours for All Blocks" seems to imply the sum across all blocks.
// The primary result IS the total hours for all blocks.
// Let's re-interpret the intermediate values based on typical calculator structure:
// 1. Total Capacity Across All Blocks (Primary Result)
// 2. Average Capacity Per Block
// 3. Average Capacity Per Resource Per Block
var avgCapacityPerBlock = totalAvailableCapacity / numberOfBlocks;
var avgCapacityPerResourcePerBlock = avgCapacityPerBlock / numberOfResources; // This is slightly different from capacityPerBlockPerResource if resources are not evenly split per block.
// Let's align with the current spans:
// Span 1: Total Available Capacity (Primary Result) – Correctly set as totalAvailableCapacity
// Span 2: Capacity Per Block Per Resource – This should represent the average hours per resource *within* a block.
// Let's redefine:
// Total Available Capacity = `totalAvailableCapacity` (This is the main output)
// Average Hours per Block = `totalAvailableCapacity / numberOfBlocks`
// Average Hours per Resource Per Block = `(totalAvailableCapacity / numberOfBlocks) / numberOfResources` — This is getting complex.
// Let's stick to the most direct interpretation of the spans:
// Span 1: totalAvailableCapacity (Total productive hours for all blocks)
// Span 2: capacityPerBlockPerResource (This implies hours per resource *across all blocks*, which is not useful).
// Let's redefine Span 2 & 3 for clarity.
// Span 2: Average hours available *per block*
// Span 3: Average hours available *per resource, per block*
// Revised intermediate calculations:
var avgHoursPerBlock = totalAvailableCapacity / numberOfBlocks;
var avgHoursPerResourcePerBlock = totalHoursPerWeek * blockCapacityFactor; // This is the net productive hours per person per week, applicable to any block.
document.getElementById('totalAvailableCapacity').textContent = totalAvailableCapacity.toFixed(2) + ' Hours'; // Primary: Total productive hours for all blocks
document.getElementById('capacityPerBlockPerResource').textContent = avgHoursPerBlock.toFixed(2) + ' Hours/Block'; // Intermediate 1: Avg hours for each block
document.getElementById('totalHoursForAllBlocks').textContent = avgHoursPerResourcePerBlock.toFixed(2) + ' Hours/Resource/Week'; // Intermediate 2: Avg productive hours per resource per week
// Update Table and Chart
updateTableAndChart(numberOfBlocks, avgHoursPerBlock, avgHoursPerResourcePerBlock);
}
function updateTableAndChart(numBlocks, avgHoursPerBlock, avgWeeklyProductiveHours) {
var tableBody = document.getElementById('allocationTableBody');
tableBody.innerHTML = ''; // Clear existing rows
var chartLabels = [];
var hrAllocationData = [];
var blockCapacityData = [];
for (var i = 1; i <= numBlocks; i++) {
var row = tableBody.insertRow();
var cellBlock = row.insertCell(0);
var cellResources = row.insertCell(1);
var cellAllocatedHours = row.insertCell(2);
var cellUtilization = row.insertCell(3);
cellBlock.textContent = 'Block ' + i;
// Placeholder for assigned resources – this needs manual input or a more complex model
cellResources.textContent = 'TBD';
// Using the calculated average hours per block
var allocatedHours = avgHoursPerBlock;
cellAllocatedHours.textContent = allocatedHours.toFixed(2);
// Utilization factor for the block itself (how much of the block's capacity is used)
// This assumes the block is fully planned to its capacity `avgHoursPerBlock`.
// A more realistic scenario would involve actual task estimates for the block.
// For this example, let's assume the block *is* planned to consume `avgHoursPerBlock`.
// We'll show a placeholder utilization based on the overall capacity factor.
var utilization = parseFloat(document.getElementById('blockCapacityFactor').value);
cellUtilization.textContent = (utilization * 100).toFixed(0) + '%';
// Chart data
chartLabels.push('Block ' + i);
hrAllocationData.push(allocatedHours); // Assuming allocated hours represent 'HR Hours Allocated'
// For block capacity, let's use the available weekly productive hours per resource, scaled by the number of resources for that block duration.
// This is tricky. Let's simplify: assume block capacity is represented by the total available capacity for *that block*.
// A better comparison: how much is allocated vs. how much is *available* for the block.
// We calculated `avgHoursPerBlock`. Let's assume this is what *is* allocated.
// What is the total capacity for this block?
// Total Capacity = `totalAvailableCapacity` (overall)
// Average Capacity per Block = `totalAvailableCapacity / numberOfBlocks`
// So, `avgHoursPerBlock` represents both allocated and available *on average*.
// Let's instead show allocated vs. potential maximum capacity if resources were 100%.
// For simplicity in this chart, let's plot allocated hours per block vs. a baseline capacity.
// The prompt asks for "Resource Allocation vs. Capacity".
// Let's plot:
// Series 1: "HR Allocated Hours per Block" (calculated avgHoursPerBlock)
// Series 2: "Theoretical Max Block Capacity" (hypothetical, e.g., `avgHoursPerBlock / blockCapacityFactor`)
// Or maybe simpler: Series 1 = Allocated (avgHoursPerBlock), Series 2 = Average Weekly Productive Hours per Resource * Number of Resources.
// Let's try:
// Series 1: Allocated Hours per Block (`avgHoursPerBlock`)
// Series 2: Average Total Team Productive Hours Per Week (`totalHoursPerWeek * numberOfResources * blockCapacityFactor`) – this is constant.
// Okay, simpler approach for the chart:
// Data point 1: For each block, show the allocated hours (`avgHoursPerBlock`).
// Data point 2: For each block, show the team's *total weekly* productive capacity (`totalHoursPerWeek * numberOfResources * blockCapacityFactor`). This assumes the block duration is irrelevant for the *rate* of capacity.
// This might not be the best representation.
// Let's try comparing allocated hours per block vs. the *potential* capacity of the block if all time was usable.
// If `avgHoursPerBlock` is the allocated time, and `blockCapacityFactor` is the utilization,
// then `avgHoursPerBlock / blockCapacityFactor` would be the gross hours needed.
// Let's make the chart compare:
// Series 1 (Blue): "Allocated HR Hours per Block" (`avgHoursPerBlock`)
// Series 2 (Orange): "Max Potential Block Capacity (Gross Hours)" (`grossBlockHours / numberOfBlocks`) – This represents the block duration hours if utilization was 100%.
blockCapacityData.push(grossBlockHours / numberOfBlocks);
}
// Update Chart
updateChart(chartLabels, hrAllocationData, blockCapacityData);
}
function updateChart(labels, data1, data2) {
var ctx = document.getElementById('allocationChart').getContext('2d');
// Destroy previous chart instance if it exists
if (allocationChartInstance) {
allocationChartInstance.destroy();
}
allocationChartInstance = new Chart(ctx, {
type: 'bar', // Use bar chart for comparing discrete blocks
data: {
labels: labels,
datasets: [{
label: 'Allocated HR Hours per Block',
data: data1,
backgroundColor: chartColors[0], // Blue
borderColor: chartColors[0],
borderWidth: 1
}, {
label: 'Max Potential Block Capacity (Gross Hours)',
data: data2,
backgroundColor: chartColors[1], // Orange
borderColor: chartColors[1],
borderWidth: 1
}]
},
options: {
responsive: true,
maintainAspectRatio: false,
scales: {
y: {
beginAtZero: true,
title: {
display: true,
text: 'Hours'
}
},
x: {
title: {
display: true,
text: 'Project Blocks'
}
}
},
plugins: {
legend: {
display: false // Use custom legend
},
title: {
display: true,
text: 'Block Allocation vs. Potential Capacity'
}
}
}
});
}
function resetCalculator() {
document.getElementById('totalHoursPerWeek').value = 40;
document.getElementById('numberOfResources').value = 5;
document.getElementById('blockDurationWeeks').value = 4;
document.getElementById('blockCapacityFactor').value = 0.8;
document.getElementById('numberOfBlocks').value = 10;
// Clear results and errors
document.getElementById('primaryResult').textContent = '–';
document.getElementById('totalAvailableCapacity').textContent = '–';
document.getElementById('capacityPerBlockPerResource').textContent = '–';
document.getElementById('totalHoursForAllBlocks').textContent = '–';
document.getElementById('totalHoursPerWeekError').textContent = '';
document.getElementById('numberOfResourcesError').textContent = '';
document.getElementById('blockDurationWeeksError').textContent = '';
document.getElementById('blockCapacityFactorError').textContent = '';
document.getElementById('numberOfBlocksError').textContent = '';
// Clear table
var tableBody = document.getElementById('allocationTableBody');
tableBody.innerHTML = '';
// Clear chart
if (allocationChartInstance) {
allocationChartInstance.destroy();
allocationChartInstance = null;
}
}
function copyResults() {
var primaryResult = document.getElementById('primaryResult').textContent;
var intermediate1 = document.getElementById('totalAvailableCapacity').textContent;
var intermediate2 = document.getElementById('capacityPerBlockPerResource').textContent;
var intermediate3 = document.getElementById('totalHoursForAllBlocks').textContent;
var totalHoursPerWeek = document.getElementById('totalHoursPerWeek').value;
var numberOfResources = document.getElementById('numberOfResources').value;
var blockDurationWeeks = document.getElementById('blockDurationWeeks').value;
var blockCapacityFactor = document.getElementById('blockCapacityFactor').value;
var numberOfBlocks = document.getElementById('numberOfBlocks').value;
var assumptions = `Key Assumptions:\n` +
`- Total Hours/Week/Person: ${totalHoursPerWeek}\n` +
`- Number of Resources: ${numberOfResources}\n` +
`- Block Duration: ${blockDurationWeeks} weeks\n` +
`- Block Capacity Factor: ${blockCapacityFactor}\n` +
`- Number of Blocks: ${numberOfBlocks}\n\n`;
var resultsText = `— HR and Block Calculator Results —\n\n` +
`Primary Result (Total Available Capacity): ${primaryResult}\n\n` +
`Intermediate Values:\n` +
`- Average Capacity Per Block: ${intermediate2}\n` + // Corrected label to match span text
`- Average Productive Hours Per Resource Per Week: ${intermediate3}\n\n` + // Corrected label
assumptions;
// Temporarily create a textarea to copy text
var textArea = document.createElement("textarea");
textArea.value = resultsText;
textArea.style.position = "fixed"; // Avoid scrolling to bottom of page in MS Edge.
textArea.style.top = 0;
textArea.style.left = 0;
document.body.appendChild(textArea);
try {
textArea.focus();
textArea.select();
document.execCommand('copy');
alert('Results copied to clipboard!');
} catch (err) {
console.error('Unable to copy results: ', err);
alert('Failed to copy results. Please copy manually.');
} finally {
document.body.removeChild(textArea);
}
}
// Initialize calculator on load
document.addEventListener('DOMContentLoaded', function() {
calculateHRBlocks(); // Perform an initial calculation with default values
// Add event listeners for real-time updates (optional, depends on desired behavior)
var inputs = document.querySelectorAll('.loan-calc-container input');
for (var i = 0; i < inputs.length; i++) {
inputs[i].addEventListener('input', calculateHRBlocks);
}
// FAQ toggles
var faqQuestions = document.querySelectorAll('.faq-question');
for (var i = 0; i < faqQuestions.length; i++) {
faqQuestions[i].addEventListener('click', function() {
var answer = this.nextElementSibling;
answer.classList.toggle('visible');
});
}
});
// Need to include Chart.js library or implement a pure JS chart.
// For this example, we'll assume Chart.js is available globally.
// In a real production scenario, you'd include Chart.js via CDN or local file.
// IMPORTANT: As per requirements, NO external libraries. Need to use pure SVG or Canvas.
// Replacing Chart.js with a basic Canvas implementation for demonstration.
// — Canvas Chart Implementation (Simplified) —
function initCanvasChart(labels, data1, data2) {
var canvas = document.getElementById('allocationChart');
if (!canvas) return;
var ctx = canvas.getContext('2d');
canvas.width = canvas.parentElement.clientWidth; // Responsive width
canvas.height = 300; // Fixed height for simplicity, adjust as needed
ctx.clearRect(0, 0, canvas.width, canvas.height); // Clear previous drawing
if (!labels || labels.length === 0) return;
var numBars = labels.length;
var barWidth = (canvas.width / numBars) * 0.6; // 60% of section width
var barSpacing = (canvas.width / numBars) * 0.4; // 40% spacing
var maxValue = Math.max(…data1, …data2, 10) * 1.1; // Find max value, ensure minimum for scale
var scaleY = canvas.height / maxValue;
// Draw X-axis labels
ctx.fillStyle = '#333';
ctx.font = '12px Segoe UI';
ctx.textAlign = 'center';
labels.forEach(function(label, index) {
var x = (barSpacing * index) + (barSpacing / 2) + (barWidth / 2);
ctx.fillText(label, x, canvas.height – 10);
});
// Draw Bars
ctx.font = '11px Segoe UI'; // Font for data values
ctx.textAlign = 'center';
// Bar 1 (Blue – Allocated HR)
ctx.fillStyle = chartColors[0];
data1.forEach(function(value, index) {
var barHeight = value * scaleY;
var x = (barSpacing * index) + (barSpacing / 2);
var y = canvas.height – barHeight – 30; // 30px for x-axis labels
ctx.fillRect(x, y, barWidth, barHeight);
ctx.fillStyle = '#fff'; // White text for values
ctx.fillText(value.toFixed(0), x + barWidth / 2, y – 5);
ctx.fillStyle = chartColors[0]; // Reset fill style for next bar
});
// Bar 2 (Orange – Max Potential Capacity)
ctx.fillStyle = chartColors[1];
data2.forEach(function(value, index) {
var barHeight = value * scaleY;
var x = (barSpacing * index) + (barSpacing / 2) + barWidth + (barSpacing * 0.2); // Offset slightly
var y = canvas.height – barHeight – 30; // 30px for x-axis labels
ctx.fillRect(x, y, barWidth, barHeight);
ctx.fillStyle = '#fff'; // White text for values
ctx.fillText(value.toFixed(0), x + barWidth / 2, y – 5);
ctx.fillStyle = chartColors[1]; // Reset fill style
});
// Y-axis scale (simplified) – Draw a few markers
ctx.fillStyle = '#333';
ctx.textAlign = 'right';
var scaleMarkers = [maxValue * 0.25, maxValue * 0.5, maxValue * 0.75, maxValue];
scaleMarkers.forEach(function(val) {
var yPos = canvas.height – (val * scaleY) – 30;
ctx.fillText(val.toFixed(0), 40, yPos); // Adjust x position for y-axis label
ctx.beginPath();
ctx.moveTo(45, yPos);
ctx.lineTo(55, yPos);
ctx.strokeStyle = '#ccc';
ctx.stroke();
});
ctx.fillText('Hours', 40, 20); // Y-axis title
}
// Replace Chart.js call with Canvas implementation
function updateTableAndChart(numBlocks, avgHoursPerBlock, avgWeeklyProductiveHours) {
var tableBody = document.getElementById('allocationTableBody');
tableBody.innerHTML = ''; // Clear existing rows
var chartLabels = [];
var hrAllocationData = [];
var blockCapacityData = [];
var totalHoursPerWeek = parseFloat(document.getElementById('totalHoursPerWeek').value);
var numberOfResources = parseInt(document.getElementById('numberOfResources').value);
var blockDurationWeeks = parseInt(document.getElementById('blockDurationWeeks').value);
var blockCapacityFactor = parseFloat(document.getElementById('blockCapacityFactor').value);
var grossBlockHoursTotal = totalHoursPerWeek * numberOfResources * blockDurationWeeks; // Total gross hours for ALL blocks if they were this duration.
for (var i = 1; i <= numBlocks; i++) {
var row = tableBody.insertRow();
var cellBlock = row.insertCell(0);
var cellResources = row.insertCell(1);
var cellAllocatedHours = row.insertCell(2);
var cellUtilization = row.insertCell(3);
cellBlock.textContent = 'Block ' + i;
cellResources.textContent = 'TBD'; // Placeholder
// Allocated HR Hours per Block (using the avgHoursPerBlock calculation)
var allocatedHours = avgHoursPerBlock;
cellAllocatedHours.textContent = allocatedHours.toFixed(2);
// Utilization: How much of the average block capacity is used by allocated hours.
// Since avgHoursPerBlock is derived from total capacity, this should ideally be ~100% if planned perfectly.
// Let's show the input blockCapacityFactor for context.
cellUtilization.textContent = (blockCapacityFactor * 100).toFixed(0) + '%';
// Chart data
chartLabels.push('Block ' + i);
hrAllocationData.push(allocatedHours);
// Max Potential Block Capacity (Gross Hours):
// This should represent the gross hours for *one block* if it was of this duration.
// If grossBlockHoursTotal is for ALL blocks combined (assuming same duration),
// then grossBlockHoursTotal / numBlocks is the average gross hours per block.
blockCapacityData.push(grossBlockHoursTotal / numBlocks);
}
// Call the canvas drawing function
initCanvasChart(chartLabels, hrAllocationData, blockCapacityData);
}
// Ensure initial calculation and event listeners are correctly set up
document.addEventListener('DOMContentLoaded', function() {
calculateHRBlocks();
var inputs = document.querySelectorAll('.loan-calc-container input');
for (var i = 0; i < inputs.length; i++) {
inputs[i].addEventListener('input', calculateHRBlocks);
}
var faqQuestions = document.querySelectorAll('.faq-question');
for (var i = 0; i < faqQuestions.length; i++) {
faqQuestions[i].addEventListener('click', function() {
var answer = this.nextElementSibling;
answer.classList.toggle('visible');
});
}
});