Content workflow effort estimate calculator
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πŸ‘‹ WelcomeWelcome to the content workflow effort caclulation spreadsheet. The existing data here is from a past Content Strategy and Delivery training session. Attendees included all sizes of teams from Agencies, Higher Education, Government, Healthcare, Financial Services and more. Have a look through the existing data to get an idea of how long it takes different teams to produce content.
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πŸ‘‰ InstructionsMake a copy of this sheet (you can't edit directly), or download it as an Excel file. Add a row at the bottom of the table below and fill in how many total hours of human effort you expect a piece of website content to take to move through each stage (left to right). The hours of total effort could be for a single person, or multiple people at any stage. Feel free to delete the example data and add/remove your own workflow stages.
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πŸ’‘ Next actionOnce you've finished you can set-up a content production workflow and produce content in the GatherContent platform to dramatically reduce the time it takes to manage the creation process. See how our platform works πŸ‘
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Gather ParticipantDevelop page briefResearchWriteUser test (and iterate)ReviewReviseUpload to CMSReview in HTMLPublishTOTAL
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Average1.63.84.54.02.01.61.31.00.720.4
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Example name1111111119.0
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Alex35555111127.0
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Benjamin25342112121.0
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Abby2325320.50.50.518.5
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Stella2810453210.535.5
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Cindy188432110.528.5
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Marianna12511211115.0
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Kevin138108441.50.540.0
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Madeleine2333311.510.518.0
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Jennifer2.5242320.50.50.2516.8
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Shannon0.5221210.50.50.259.8
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Kate233220.50.50.50.514.0
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Matt746115482148.0
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Dan12210.50.510.250.58.8
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Jesse0.5284220.50.50.520.0
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Marisabel148212210.521.5
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Madelyn0.524110.50.50.50.510.5
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Adrienne1341018.0
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Megan0.532510.5110.514.5
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Abby24422210.50.2517.8
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Kate0.5222110.50.50.510.0
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Liz1320.50.50.50.250.258.0
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Roisin14751121123.0
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Angela133621110.518.5
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Danielle13231110.50.513.0
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Rachael2436220.50.50.2520.3
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Austin146421110.520.5
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Alicia24322221220.0
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Sara148211210.520.5
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Barby0.54591.52110.524.5
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Betsy25253210.50.521.0
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Tina1335110.50.50.515.5
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josh2810.0
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Zach1111111119.0
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Kirsten222.542.50.50.510.515.5
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Travis13442210.50.518.0
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Ethan2335.51.52110.519.5
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Adam2334220.50.50.517.5
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Bruce37622211125.0
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Andrew0.5526120.50.50.518.0
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Bilun26464222129.0
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Steve24672.5112328.5
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gienm0.566.5
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Diana261062210,50,529.0
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Clea1332120.50.5114.0
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Alli341033222130.0
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Gill2342110.510.515.0
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Sean13411210.50.514.0
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Amanda2.5332220.50.50.516.0
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Natalie M36106321233.0
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Simon134232210.518.5
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Ewan24331.5210.50.2517.3
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giem2826120.50.20.121.8
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Rachel253831210.525.5
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Sheryl148211.5110.520.0
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Kavita341032131128.0
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Claire23381110.519.5
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Helena1462.51210.50.518.5
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Chelsea13321110.50.513.0
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Julie115411340.520.5
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Andika13321122217.0
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Marta2454110.520.520.0
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Carolyn22461121221.0
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Johanna25521.510.50.50.518.0
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