Diving Deeper.The reliability process can be complex. At this point, we assume that you are familiar with the topics covered under Foundations, and are ready to take a deeper dive into the training, evaluating, and troubleshooting process.
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What do iterative trainings look like?The reliability training process can differ depending on the type of data you're collecting. We have different iterative processes that we follow for tasks, categorical data, and continuous data. We also sometimes run into challenges when our outcomes of interest are rare and have a separate process for this situation. Click below to learn more about each process.
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Where does reliability fit in a project timeline?While we often prioritize reliability training before collecting data, it is important to consider it throughout the project. Here, we describe best practice for when to evaluate reliability. Click on the question or icon to learn more.
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How do you troubleshoot?Regardless of the type of data, reliability training often requires troubleshooting. When we troubleshoot, we identify the problem, diagnose it, and take actionable steps to fix it. This process can be challenging, and time-consuming, but is fundamental to our philosophy. Here, we lay out some structure and orientation to what troubleshooting looks like for us, along with some common examples of problems that come up in behavior reliability. Click on the question or icon to learn more.
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What should you report?After creating, analyzing, and troubleshooting your reliability training, you then need to report this information in your publications. Here, we describe what we consider best practice and provide examples of how we report our metrics. Click on the question or icon to learn more.
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What next?The reliability process is very detailed and can be hard to keep track off. Move on to our "Checklist" to download a list of what steps you should consider before, during, and after conducting your research. Click on the question or icon to learn more.
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