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This issue came up from several angles throughout the workshop. These included:
Experimental Design - Improve experimental design to generate as minimal interference with training etc as possible.
Buy In - Improve the buy in from athletes collecting the data so they collect better quality data.
Education - Educate the end-users (athletes and coaches) about how to interpret, apply data insights and demonstrate that they are actually valuable to what they do.
Statistical Significance Ensure the experimental results are statistically significant and therefore translate to real value to the athletes and coaches. Poor statistical significance results in end-users getting frustrated, seeing no value in the data and therefore not engaging. Statistical significance comes from good experimental design and use of high quality statistical methods.
The text was updated successfully, but these errors were encountered:
This issue came up from several angles throughout the workshop. These included:
The text was updated successfully, but these errors were encountered: