Editorial Capacity Calendar
Schedule content preparation backwards from publication dates and find overloaded production days.
- 1List your content
- 2Read the answer as you type
- 3Download or print it
Loading the worked example…
Assumptions
Results update as you type. Example figures are illustrative.
Your working data
Edit cells directly or import a CSV. Download “Input CSV” for the required column names. Up to 200 rows; scroll the table sideways for additional fields.
Detailed analysis
Exports include all results, regardless of the search filter. The HTML report includes assumptions and source data; use your browser’s Print command for PDF.
Chart shows the first 20 rows; negative values use a warm color. Click table headers to sort.
Compare up to four scenarios
Capture the current inputs, change assumptions and capture again. Scenarios are included in downloaded projects.
What this model includes
Effort is spread evenly over preparation calendar days before publication. Weekends are included; this is a workload forecast, not an assignment optimizer.
Import and save safely
CSV imports use your current assumptions. Project files restore assumptions, rows and saved scenarios. No automatic saving: download a project before closing this page. Imports are limited to 10 MiB and 200 rows. Calculations run in your browser; the site’s advertising and analytics follow its privacy policy.
Using Editorial Capacity Calendar
Schedule content preparation backwards from publication dates and find overloaded production days.
- Enter how many team hours you have per day.
- List each piece with owner, publish date, draft, edit and design hours, and preparation days.
- See overloaded days in the chart at the top, then download the schedule.
Example
The worked example includes Launch guide, Comparison article, Weekly digest. Change the first team hours per calendar day setting and compare the result with a saved baseline.
Questions & answers
What does Editorial Capacity Calendar calculate?
Schedule content preparation backwards from publication dates and find overloaded production days.
What are the important limitations?
Effort is spread evenly over preparation calendar days before publication. Weekends are included; this is a workload forecast, not an assignment optimizer.
Can I continue my work later?
Yes. Save a project JSON file and reopen it with Import CSV / project. It contains the working data, assumptions and up to four scenarios. Nothing is saved automatically.
What CSV columns do I need?
title, owner, publish, draft, edit, design, lead. Download Input CSV for a compatible example. CSV imports keep your current assumptions.
Are these example figures current industry benchmarks?
No. They are illustrative values to demonstrate the model. Replace them with figures appropriate to your situation.
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