Hello Collaboratory Scientists!
Welcome back to Collaboratory Month 🧬
The fourth step in the Collaboratory method is to design and perform an an experiment to test your hypothesis. (If you haven't already, formulate a question on the Step 1 post, form a hypothesis on the Step 2 post, and make a Collaboratory prediction on the step 3 post).
To design and perform an experiment to test your hypothesis, you'll have to think about what to set as your independent and dependent variable. You change or control the independent variable and record the effect it has on the dependent variable.
Example: Perhaps, you want to test an experiment about whether having more meetings results in more efficient collaboration.
A good question to begin with might be: ”Does having more meetings result in a project being finished more quickly?"
A good hypothesis might be: If we decrease time spent meeting by 25%, the project will still be finished in the same time.
A good prediction might be: If my team reduces meetings by 25% (and uses that time instead for async work), then the project will be finished on the same timeline.
A good experiment might be: Reduce the total amount of time your team spends talking on zoom about a project by 25%.
We'll award the Collaboratory badge to all Community members who ask a Collaboratory question :) Keep an eye on the main Collaboratory post to discover next steps!
Hi everyone, We’re always looking at how to improve Confluence and customer feedback plays an important role in making sure we're investing in the areas that will bring the most value to the most c...
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