Freelance Project Time Estimator

Freelance Project Time Estimator predicts project hours, efficiency, and confidence score from tasks, complexity, and buffer for effective time planning.

Number of Task Types:

Contingency Buffer (%):

Formulas Used in Freelance Project Time Estimator

The calculator uses the following formulas to estimate project time:

Total Task Hours per Task Type:

\[ H_t = N \cdot H_a \cdot F_c \]

Total Project Hours:

\[ H_p = \sum H_t + (H_b \cdot \sum H_t) \]

Task Completion Efficiency:

\[ E = \frac{\sum H_t}{H_p} \cdot 100 \]

Project Completion Confidence Score:

\[ S = \min\left(100 \cdot \frac{T_{\text{max}} – H_p}{T_{\text{max}}}, 100\right) \]

Where:

\( H_t \): Total hours for a task type (hours)
\( N \): Number of tasks
\( H_a \): Average hours per task (hours)
\( F_c \): Complexity factor (Low: 1.0, Medium: 1.5, High: 2.0)
\( H_p \): Total project hours (hours)
\( H_b \): Contingency buffer (decimal)
\( E \): Task completion efficiency (%)
\( S \): Project completion confidence score (%)
\( T_{\text{max}} \): Maximum reference hours (500 hours)

Example Calculations

Example 1: Small Project, Single Task Type, Low Complexity

Input: Task Types = 1 (Tasks: 10, Hours/Task: 5, Complexity: Low), Contingency Buffer = 20%

\[ H_{t1} = N \cdot H_a \cdot F_c = 10 \cdot 5 \cdot 1.0 = 50 \ \text{hours} \] \[ H_p = \sum H_t + (H_b \cdot \sum H_t) = 50 + (0.2 \cdot 50) = 60 \ \text{hours} \] \[ E = \frac{\sum H_t}{H_p} \cdot 100 = \frac{50}{60} \cdot 100 = 83.33 \ \% \] \[ S = \min\left(100 \cdot \frac{T_{\text{max}} – H_p}{T_{\text{max}}}, 100\right) = \min\left(100 \cdot \frac{500 – 60}{500}, 100\right) = 88 \ \% \]

Result: Task Type 1: 50 hours, Total Project Hours: 60 hours, Efficiency: 83.33%, Confidence Score: 88%

Example 2: Medium Project, Three Task Types, Mixed Complexity

Input: Task Types = 3 (Type 1: 10 tasks, 5 hours, Low; Type 2: 15 tasks, 8 hours, Medium; Type 3: 5 tasks, 10 hours, High), Contingency Buffer = 25%

\[ H_{t1} = 10 \cdot 5 \cdot 1.0 = 50 \ \text{hours} \] \[ H_{t2} = 15 \cdot 8 \cdot 1.5 = 180 \ \text{hours} \] \[ H_{t3} = 5 \cdot 10 \cdot 2.0 = 100 \ \text{hours} \] \[ H_p = \sum H_t + (H_b \cdot \sum H_t) = (50 + 180 + 100) + (0.25 \cdot 330) = 330 + 82.5 = 412.5 \ \text{hours} \] \[ E = \frac{\sum H_t}{H_p} \cdot 100 = \frac{330}{412.5} \cdot 100 = 80 \ \% \] \[ S = \min\left(100 \cdot \frac{T_{\text{max}} – H_p}{T_{\text{max}}}, 100\right) = \min\left(100 \cdot \frac{500 – 412.5}{500}, 100\right) = 17.5 \ \% \]

Result: Task Type 1: 50 hours, Task Type 2: 180 hours, Task Type 3: 100 hours, Total Project Hours: 412.5 hours, Efficiency: 80%, Confidence Score: 17.5%

Example 3: Large Project, Five Task Types, High Complexity

Input: Task Types = 5 (Type 1: 20 tasks, 10 hours, High; Type 2: 15 tasks, 8 hours, Medium; Type 3: 10 tasks, 5 hours, Low; Type 4: 12 tasks, 7 hours, Medium; Type 5: 8 tasks, 6 hours, High), Contingency Buffer = 30%

\[ H_{t1} = 20 \cdot 10 \cdot 2.0 = 400 \ \text{hours} \] \[ H_{t2} = 15 \cdot 8 \cdot 1.5 = 180 \ \text{hours} \] \[ H_{t3} = 10 \cdot 5 \cdot 1.0 = 50 \ \text{hours} \] \[ H_{t4} = 12 \cdot 7 \cdot 1.5 = 126 \ \text{hours} \] \[ H_{t5} = 8 \cdot 6 \cdot 2.0 = 96 \ \text{hours} \] \[ H_p = \sum H_t + (H_b \cdot \sum H_t) = (400 + 180 + 50 + 126 + 96) + (0.3 \cdot 852) = 852 + 255.6 = 1107.6 \ \text{hours} \] \[ E = \frac{\sum H_t}{H_p} \cdot 100 = \frac{852}{1107.6} \cdot 100 = 76.92 \ \% \] \[ S = \min\left(100 \cdot \frac{T_{\text{max}} – H_p}{T_{\text{max}}}, 100\right) = \min\left(100 \cdot \frac{500 – 1107.6}{500}, 100\right) = 0 \ \% \]

Result: Task Type 1: 400 hours, Task Type 2: 180 hours, Task Type 3: 50 hours, Task Type 4: 126 hours, Task Type 5: 96 hours, Total Project Hours: 1107.6 hours, Efficiency: 76.92%, Confidence Score: 0%

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Freelance Project Time Estimator

Formulas Used in Freelance Project Time Estimator

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