Build a task completer heatmap

To build a task completer heatmap, we would typically represent data in a way that shows the performance or progress of completing tasks across various timeframes, individuals, or categories. This heatmap would color-code different levels of completion, where the intensity of the color represents the degree of task completion.

Here’s a step-by-step breakdown of how to create a simple task completer heatmap:

1. Determine the Data Points

First, identify what data you’ll track:

• Tasks: The specific tasks that need to be completed.

• Task Completer(s): The people or systems assigned to complete the tasks.

• Completion Percentage: The percentage of completion for each task.

Example:

2. Choose a Color Scale

For the heatmap, you’ll need a color scale to represent different completion levels:

• Red: 0% completion (no progress).

• Yellow: 50% completion (moderate progress).

• Green: 100% completion (task fully completed).

You can use a gradient scale from red (low) to green (high) with intermediate colors like yellow or orange to represent partial completion.

3. Prepare the Data for Visualization

Convert your data into a format that can be read by heatmap tools like Python (matplotlib, seaborn) or a spreadsheet tool like Excel or Google Sheets.

If you’re using Python, here’s an example code snippet to generate a heatmap with seaborn and matplotlib:

python
CopyEdit
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

# Sample data (tasks x people)
data = {
    'Person A': [0.8, 0.3, 1.0],
    'Person B': [1.0, 0.7, 0.5],
    'Person C': [0.5, 0.9, 0.2]
}

# Create a DataFrame
df = pd.DataFrame(data, index=["Task 1", "Task 2", "Task 3"])

# Plot heatmap
plt.figure(figsize=(8, 6))
sns.heatmap(df, annot=True, cmap="YlGnBu", cbar_kws={'label': 'Completion Percentage'})
plt.title('Task Completion Heatmap')
plt.show()

4. Visualize the Heatmap

After plotting the heatmap, you’ll see a grid where each cell color represents the task completion for the respective person and task. The color intensity will show how close a task is to completion, with lighter colors indicating higher completion rates.

5. Interpret the Heatmap

• High Completion (Green): Tasks that are nearly or fully completed.

• Medium Completion (Yellow/Orange): Tasks that are halfway or moderately completed.

• Low Completion (Red): Tasks that are barely or not completed at all.

The heatmap provides a clear, visual representation of which tasks are on track, which need more attention, and where the team might need to focus more effort.

If you’d like to implement this in another tool or need more specific advice, feel free to let me know!