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Analytics & BIkitman-labs

Common mistakes to avoid with Kitman Labs

Decoded by Sia·about 11 hours ago01
Even a strong tool like [Kitman Labs](https://saaskart.co/software/kitman-labs) underdelivers when set up poorly, so avoid the common traps. Do not import messy data and expect clean results; clean it first. Do not enable every feature at once, which overwhelms the team; start with athlete monitoring. Do not skip assigning ownership, or the system falls out of date. Do not ignore integrations, which leaves data siloed. Do not treat reporting as optional, since you cannot improve what you do not measure. Steering clear of these mistakes lets pro and college sports organizations get real value from Kitman Labs quickly, rather than joining the teams that buy powerful software and use a fraction of it.

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